The DOI matches its Crossref record.
Imaging of Bacterial and Fungal Cells Using Fluorescent Carbon Dots Prepared from Carica papaya Juice
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Citations
Cited by
Carbon quantum dots and their biomedical and therapeutic applications: a review
Molaei, M. J. (2019) · RSC Advances · doi:10.1039/c8ra08088g · Cited by 538
Iravani, S., & Varma, R. S. (2020) · Environmental Chemistry Letters · doi:10.1007/s10311-020-00984-0 · Cited by 532
Atchudan, R., Edison, T. N. J. I., & Lee, Y. R. (2016) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2016.07.058 · Cited by 373
Future Perspectives and Review on Organic Carbon Dots in Electronic Applications
Semeniuk, M., Yi, Z., Poursorkhabi, V., Tjong, J., Jaffer, S., Lu, Z.-H., & Sain, M. (2019) · ACS Nano · doi:10.1021/acsnano.9b00688 · Cited by 367
Green synthesis of highly fluorescent carbon quantum dots from sugarcane bagasse pulp
S., T., & D., R. S. (2016) · Applied Surface Science · doi:10.1016/j.apsusc.2016.08.106 · Cited by 365
Metadata
- Authors
- Kasibabu, B. S. B., D’souza, S. L., Jha, S., & Kailasa, S. K.
- Venue
- Journal of Fluorescence
- Published
- 2015-06-30
- Volume
- 25
- Issue
- 4
- Pages
- 803-810
- ISSN
- 1053-0509 (ISSN-L)
- 1573-4994
- OpenAlex
- W2205666914
- Cited by
- 175
- References
- 0
- FWCI
- 5.06
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: Imaging of Bacterial and Fungal Cells Using Fluorescent Carbon Dots Prepared from Carica papaya Juice. https://app.cochat.ai/papers/10.1007/s10895-015-1595-0
- The paper
- Kasibabu, B. S. B., D’souza, S. L., Jha, S., & Kailasa, S. K. (2015). Imaging of Bacterial and Fungal Cells Using Fluorescent Carbon Dots Prepared from Carica papaya Juice. Journal of Fluorescence. https://doi.org/10.1007/s10895-015-1595-0
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
