Malek, Nisar

NASH limits anti-tumour surveillance in immunotherapy-treated HCC

Pfister, D., Núñez, N. G., Pinyol, R., Govaere, O., Pinter, M., Szydlowska, M., Gupta, R., Qiu, M., Deczkowska, A., Weiner, A., et al. (2021) · Nature

Cancer Immunotherapy and BiomarkersHepatocellular Carcinoma Treatment and Prognosis

Cited by 1,294

In vivo RNAi screening identifies a mechanism of sorafenib resistance in liver cancer

Rudalska, R., Dauch, D., Longerich, T., McJunkin, K., Wuestefeld, T., Kang, T.-W., Hohmeyer, A., Pesic, M., Leibold, J., von Thun, A., et al. (2014) · Nature Medicine

Hepatocellular Carcinoma Treatment and PrognosisColorectal Cancer Treatments and Studies

Cited by 282

A Direct In Vivo RNAi Screen Identifies MKK4 as a Key Regulator of Liver Regeneration

Wuestefeld, T., Pesic, M., Rudalska, R., Dauch, D., Longerich, T., Kang, T.-W., Yevsa, T., Heinzmann, F., Hoenicke, L., Hohmeyer, A., et al. (2013) · Cell

Liver physiology and pathologyTissue Engineering and Regenerative Medicine

Cited by 149

Paneth cell α-defensins HD-5 and HD-6 display differential degradation into active antimicrobial fragments

Ehmann, D., Wendler, J., Koeninger, L., Larsen, I. S., Klag, T., Berger, J., Marette, A., Schaller, M., Stange, E. F., Malek, N. P., et al. (2019) · Proceedings of the National Academy of Sciences

Antimicrobial Peptides and ActivitiesAntimicrobial agents and applications

Cited by 112

Intestinal B cells license metabolic T-cell activation in NASH microbiota/antigen-independently and contribute to fibrosis by IgA-FcR signalling

Kotsiliti, E., Leone, V., Schuehle, S., Govaere, O., Li, H., Wolf, M. J., Horvatic, H., Bierwirth, S., Hundertmark, J., Inverso, D., et al. (2023) · Journal of Hepatology

Liver Disease Diagnosis and TreatmentLiver physiology and pathology

Cited by 108

Concanavalin A-induced liver injury triggers hepatocyte proliferation.

Trautwein, C., Rakemann, T., Malek, N. P., Plümpe, J., Tiegs, G., & Manns, M. P. (1998) · Journal of Clinical Investigation

Liver physiology and pathologyDrug-Induced Hepatotoxicity and Protection

Cited by 87

Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort

Magunia, H., Lederer, S., Verbuecheln, R., Gilot, B. J., Koeppen, M., Haeberle, H. A., Mirakaj, V., Hofmann, P., Marx, G., Bickenbach, J., et al. (2021) · Critical Care

COVID-19 Clinical Research StudiesMachine Learning in Healthcare

Cited by 65

Navigating Through Electronic Health Records: Survey Study on Medical Students’ Perspectives in General and With Regard to a Specific Training

Herrmann-Werner, A., Holderried, M., Loda, T., Malek, N., Zipfel, S., & Holderried, F. (2019) · JMIR Medical Informatics

Electronic Health Records SystemsInnovations in Medical Education

Cited by 20