Is ChatGPT Making Scientists Hyper-Productive? The Highs and Lows of Using AI

Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: Bibliometric analysis

Ganjavi, C., Eppler, M. B., Pekcan, A., Biedermann, B., Abreu, A., Collins, G. S., Gill, I. S., & Cacciamani, G. E. (2024) · BMJ · doi:10.1136/bmj-2023-077192 · Cited by 266 · see citing works

Artificial Intelligence in Higher Education: A State-of-the-Art Overview of Pedagogical Integrity, Artificial Intelligence Literacy, and Policy Integration

Adamakis, M., & Rachiotis, T. (2025) · Encyclopedia · doi:10.3390/encyclopedia5040180 · Cited by 76 · see citing works

Performance of large language artificial intelligence models on solving restorative dentistry and endodontics student assessments

Künzle, P., & Paris, S. (2024) · Clinical Oral Investigations · doi:10.1007/s00784-024-05968-w · Cited by 69 · see citing works

Strong and weak AI narratives: an analytical framework

Bory, P., Natale, S., & Katzenbach, C. (2024) · AI & Society · doi:10.1007/s00146-024-02087-8 · Cited by 50 · see citing works

A university framework for the responsible use of generative AI in research

Smith, S. M., Tate, M., Freeman, K., Walsh, A., Ballsun-Stanton, B., & Lane, M. (2026) · Journal of Higher Education Policy and Management · doi:10.1080/1360080x.2025.2509187 · Cited by 46 · see citing works

Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172

Masters, K., Herrmann-Werner, A., Festl-Wietek, T., & Taylor, D. (2024) · Medical Teacher · doi:10.1080/0142159x.2024.2387802 · Cited by 46 · see citing works

Exploring the Impact of Generative AI on Peer Review: Insights from Journal Reviewers

Ebadi, S., Nejadghanbar, H., Salman, A. R., & Khosravi, H. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09604-4 · Cited by 44 · see citing works

ChatGPT as an “author”: Bibliometric analysis to assess the validity of authorship

Nazarovets, S., & da Silva, J. A. T. (2024) · Accountability in Research · doi:10.1080/08989621.2024.2345713 · Cited by 37 · see citing works

Academics’ Weak(ening) Resistance to Generative AI: The Cause and Cost of Prestige?

Watermeyer, R., Lanclos, D., Phipps, L., Shapiro, H., Guizzo, D., & Knight, C. (2024) · Postdigital Science and Education · doi:10.1007/s42438-024-00524-x · Cited by 30 · see citing works

Estimating the use of ChatGPT in dental research publications

Uribe, S. E., & Maldupa, I. (2024) · Journal of Dentistry · doi:10.1016/j.jdent.2024.105275 · Cited by 27 · see citing works

How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About It

Inie, N., Falk, J., & Selvan, R. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714227 · Cited by 26 · see citing works

The Paradox of Ethical AI-Assisted Research

Mezzadri, D. (2025) · Journal of Academic Ethics · doi:10.1007/s10805-025-09671-7 · Cited by 28 · see citing works

Assessing the performance of generative artificial intelligence in retrieving information against manually curated genetic and genomic data

Poretsky, E., Blake, V. C., Andorf, C. M., & Sen, T. Z. (2025) · Database · doi:10.1093/database/baaf011 · Cited by 16 · see citing works

A systematic examination of generative artificial intelligence (GenAI) use guidelines in applied linguistics journals

Yin, S., & Chapelle, C. A. (2025) · Research Methods in Applied Linguistics · doi:10.1016/j.rmal.2025.100227 · Cited by 14 · see citing works

The impact of AI on the post‐pandemic generation of early career researchers: What we know or can predict from the published literature

Herman, E., Nicholas, D., Abrizah, A., Revez, J. M. R., Bravo, B. R., Świgoń, M., Clark, D., Xu, J., & Watkinson, A. (2024) · Learned Publishing · doi:10.1002/leap.1623 · Cited by 13 · see citing works

A quasi-experimental analysis of capabilities and limitations of generative AI in academic content evaluation in social sciences

Zhu, Y., Lu, Y., Xie, H. X., Ye, J., & Chen, M. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104365 · Cited by 11 · see citing works

The Impact of AI on Scientific Literature: A Surge in AI-Associated Words in Academic and Biomedical WritingPreprint

Masukume, G. (2024) · medRxiv · doi:10.1101/2024.05.31.24308296 · Cited by 11 · see citing works

Editorial: Uses of Generative Artificial Intelligence in Clinical Orthopaedics and Related Research ®—An Update

Leopold, S. S., Briars, C. E., Gebhardt, M. C., Gioe, T. J., Manner, P. A., Porcher, R., Rimnac, C. M., & Wongworawat, M. D. (2024) · Clinical Orthopaedics and Related Research · doi:10.1097/corr.0000000000003084 · Cited by 10 · see citing works

Large Language Models are Catalyzing Chemistry EducationPreprint

Du, Y., Duan, C., Bran, A. M., Sotnikova, A., Qu, Y., Kulik, H. J., Bosselut, A., Xu, J., & Schwaller, P. (2024) · ChemRxiv · doi:10.26434/chemrxiv-2024-h722v · Cited by 10 · see citing works

Techno-solutionism a Fact or Farce? A Critical Assessment of GenAI in Open and Distance Education

Olojede, H. T. (2024) · Journal of Ethics in Higher Education · doi:10.26034/fr.jehe.2024.5963 · Cited by 11 · see citing works

Early Career Researchers on all Aspects of Peer Review: A Deep Dive Into the Data

Nicholas, D., Bravo, B. R., Abrizah, A., Herman, E., Revez, J. M. R., Świgoń, M., Clark, D., Xu, J., & Watkinson, A. (2025) · Learned Publishing · doi:10.1002/leap.2002 · Cited by 6 · see citing works

Generative Artificial Intelligence Policy for Academic Literacy in South African Higher Education

Kruger-Roux, H., & Alberts, R. (2024) · Advances in educational technologies and instructional design book series · doi:10.4018/979-8-3693-1054-0.ch001 · Cited by 6 · see citing works

Navigating the complexities of artificial intelligence in scientific writing: a dual perspective

Levin, G., Piedimonte, S., & Zand, B. (2024) · International Journal of Gynecological Cancer · doi:10.1136/ijgc-2024-005691 · Cited by 6 · see citing works

A cross-country comparison of nursing research outputs in relation to funding: An artificial intelligence-enhanced multivariate analysis

Sblendorio, E., Tomietto, M., Dentamaro, V., Cascio, A. L., Imbrìaco, G., Piredda, M., & Cicolini, G. (2025) · Nursing Outlook · doi:10.1016/j.outlook.2025.102583 · Cited by 4 · see citing works

An alternative approach to code, store, and regenerate 3D data in dental medicine using open-source software: A scripting-based technique

Elbashti, M. E., Paz-Cortés, M. M., Giovannini, G., Acero, J., Abou‐Ayash, S., Çakmak, G., & Molinero‐Mourelle, P. (2025) · Journal of Dentistry · doi:10.1016/j.jdent.2025.105652 · Cited by 4 · see citing works

Are early career researchers feeling the consequences of the COVID pandemic?

Nicholas, D., Abrizah, A., Revez, J. M. R., Bravo, B. R., Świgoń, M., Clark, D., Xu, J., Watkinson, A., & Herman, E. (2024) · Learned Publishing · doi:10.1002/leap.1629 · Cited by 2 · see citing works

Designing a Tool for Creating Gameplay through the Systematization of Game Mechanics

Shubin, A. V., & Kugurakova, V. V. (2024) · Automatic Documentation and Mathematical Linguistics · doi:10.3103/s0005105525700384 · Cited by 2 · see citing works

Primary care clinicians should proactively take up latest AI-based technology: Yes

Holt‐Quick, C. (2024) · Journal of Primary Health Care · doi:10.1071/hc24035 · Cited by 2 · see citing works

Unveiling the Larsen effect in the scientific literature domain: Navigating quality amidst the artificial intelligence‐driven deluge

D’Aniello, L. (2024) · Journal of Oral Pathology and Medicine · doi:10.1111/jop.13569 · Cited by 1 · see citing works

“Are We Still in Control?”: Exploring Patterns of AI Dependency in Scientific Research

Li, X., Cai, X., & Wang, P. (2025) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.1329 · Cited by 1 · see citing works

Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust

Saffarizadeh, K., & Keil, M. (2025) · Information Systems Journal · doi:10.1111/isj.70017 · Cited by 1 · see citing works

LLM or Human? Perceptions of Trust and Quality in Research Summaries

Akpinar, N.-J., Avula, S., Lee, C., Dang, B., Razat, K., & Murdock, V. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3793386 · Cited by 2 · see citing works

SocLitGen: An LLM-assisted framework for automated literature review in social sciences

Hu, S., Wei, Y., & Sun, S. (2026) · Information Processing & Management · doi:10.1016/j.ipm.2026.104885 · Cited by 1 · see citing works

Going beyond by using AI in an introductory physics course

Linde, A. J. P., & Cardenas, R. E. (2025) · European Journal of Physics · doi:10.1088/1361-6404/adeb15 · Cited by 1 · see citing works

Artificial intelligence, platelets and aspirin

de Gaetano, G. (2024) · Bleeding Thrombosis and Vascular Biology · doi:10.4081/btvb.2024.130

Letter re: ChatGPT's Gastrointestinal Tumor Board Tango: A limping dance partner?

Zhu, N., Zhang, N., Yin, C., Cheng, K., & Wu, H. (2024) · European Journal of Cancer · doi:10.1016/j.ejca.2024.114174

Прорив у прогнозуванні просторової структури та обчислювальному дизайні протеїнів, або чи можна вірити передбаченням штучного інтелекту

Романюк, С. И., & Комісаренко, С. В. (2025) · Visnik Nacional noi academii nauk Ukrai ni · doi:10.15407/visn2025.02.016

Evaluating the Impact of ChatGPT-Assisted Writing: A Controlled Study on Undergraduate Academic Compositions

Zhang, T. (2025) · International Conference on Education, Knowledge and Information Management (ICEKIM) · doi:10.1145/3756580.3756622

AI and narrative revival? The story of working with a Chatbot on the secondary analysis of German-Polish borderland interviews and insights for qualitative sociology on the verge of a socio-technical transformation

Frąckowiak, M. (2025) · Current Sociology · doi:10.1177/00113921251382071

A Study of Scientific Research User Switching Intention for AIGC application Platforms Under Human-AI Interaction: A Push-Pull-Mooring Perspective

Jiang, Y., Fan, H., & Wang, Y. (2025) · International Conference on AI-Driven Business Transformation and Data Science Innovation · doi:10.1145/3786554.3786561

Beyond disclosure: setting standards for AI use in publishing in the journal Pediatric Research.

Coppes, M., Juneja, S., Molloy, E., & Bearer, C. (2026) · Pediatric Research · doi:10.1038/s41390-026-04974-w

Measuring human likeness of artificial intelligence to natural intelligence

Xia, Y., Zhu, B., Geng, M., Zhu, S., Sun, S., Chen, H., Chen, X. M., Na, X., Ye, J., & Tang, C. S. (2026) · The Innovation Informatics · doi:10.59717/j.xinn-inform.2026.100047

Towards Improved Scientific Knowledge Proliferation: Leveraging Large Language Models on the Traditional Scientific Writing WorkflowPreprint

Procko, T., Davidoff, A., Elvira, T., & Ochoa, O. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4594836 · Cited by 6 · see citing works

Tool detects AI science writing

Katsnelson, S. T. C. E. A. (2023) · C&EN Global Enterprise · doi:10.1021/cen-10119-scicon2

Scientific production in the era of large language models: Outcome-triggered treatment timing and spurious event-study dynamics

Renault, T., Bergeaud, A., & Bosquet, C. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2618638123

Leveraging Large Language Models on the Traditional Scientific Writing Workflow

Procko, T., Newcomb, A., Elvira, T., & Ochoa, O. (2024) · Conference on AI, Science, Engineering, and Technology (AIxSET) · doi:10.1109/aixset62544.2024.00028 · Cited by 4 · see citing works

Are we there yet?

Balogh, L. P. (2023) · Precision Nanomedicine · doi:10.33218/001c.74009 · Cited by 1 · see citing works