Nishant Mohan

1.5k citations
42 papers · 926 · h-index 19

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Chemotherapy-induced cardiotoxicity and mitigation

Papers in

    • HER2/EGFR in Cancer Research 14
    • Cancer Treatment and Pharmacology 3
    • Cell death mechanisms and regulation 3

Nishant Mohan

39 papers receiving 917 citations

Peers

Nishant Mohan
Comparison fields: 5 of 91
  • Oncology 379
  • Cardiology and Cardiovascular Medicine 261
  • Radiology, Nuclear Medicine and Imaging 173
  • Immunology and Allergy 27
  • Biophysics 24
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Ban-An Khaw United States
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Citations per field
00.5×10×20×32.7×
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Citations per year

Countries citing papers authored by Nishant Mohan

Since Specialization
Citations

This map shows the geographic impact of Nishant Mohan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nishant Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Mohan more than expected).

Fields of papers citing papers by Nishant Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nishant Mohan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nishant Mohan. The network helps show where Nishant Mohan may publish in the future.

Co-authors

The 25 scholars most cited alongside Nishant Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nishant Mohan Line = papers co-authored together Nishant Mohan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018117
2 2016115
3 2013108
4 201553
5 201947
6 201139
7 202135
8 201229
9 201329
10 201828
11 201728
12 201826
13 201624
14
Implications of Autophagy and Oxidative Stress in Trastuzumab-Mediated Cardiac Toxicities.
201723
15 201021
16 201420
17 202119
18 202118
19 201718
20 201416

About Nishant Mohan

Nishant Mohan is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 42 papers that have together received 926 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (14 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Chemotherapy-induced cardiotoxicity and mitigation (7 papers), Neuroblastoma Research and Treatments (5 papers), Optical Coherence Tomography Applications (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Cell death mechanisms and regulation (3 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Oncology (379 citations), Cardiology and Cardiovascular Medicine (261 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Immunology and Allergy (27 citations) and Biophysics (24 citations). Nishant Mohan has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Wen Jin Wu, Yukinori Endo, Yi Shen, Milos Dokmanovic, M. Khair ElZarrad, Swapan K. Ray, Naren L. Banik, Dianne S. Hirsch, Pál Pacher and Partha Mukhopadhyay. Their work appears in journals such as Cancer Research, PLoS ONE, Oncotarget, Optics Letters and Molecular Cancer Therapeutics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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