Shikhar Mehrotra
- Immunology top 1%
- Immune Cell Function and Interaction 34
- Immunotherapy and Immune Responses 26
- T-cell and B-cell Immunology 26
- Oncology top 2%
- CAR-T cell therapy research 26
- Cancer Immunotherapy and Biomarkers 11
- Cell Biology top 2%
- melanin and skin pigmentation 7
- Biological Psychiatry top 10%
- Physiology top 5%
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- Sphingolipid Metabolism and Signaling 8
- Genomics, phytochemicals, and oxidative stress 5
- Co-authors
- Vijay K. SinghChrystal M. PaulosS. S. AgarwalShilpak ChatterjeeZihai LiAmir A. Al-KhamiPravin KesarwaniNitya G. Chakraborty
- Cited by
- ImmunologyOncologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Shikhar Mehrotra
101 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 116
- Immunology 1.9k
- Oncology 1.2k
- Cell Biology 488
- Biological Psychiatry 51
- Physiology 90
Countries citing papers authored by Shikhar Mehrotra
This map shows the geographic impact of Shikhar Mehrotra'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 Shikhar Mehrotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikhar Mehrotra more than expected).
Fields of papers citing papers by Shikhar Mehrotra
This network shows the impact of papers produced by Shikhar Mehrotra. 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 Shikhar Mehrotra. The network helps show where Shikhar Mehrotra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shikhar Mehrotra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 38 | |
| 6 | 2020 | 31 | |
| 7 | Identification of human CD4+ T cell populations with distinct antitumor activity | 2020 | 1 |
| 8 | 2019 | 111 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 7 | |
| 11 | 2018 | 43 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 1 | |
| 14 | 2016 | 58 | |
| 15 | 2015 | 21 | |
| 16 | 2014 | 39 | |
| 17 | 2014 | 46 | |
| 18 | 2008 | 36 | |
| 19 | 2006 | 41 | |
| 20 | 2004 | 31 |
About Shikhar Mehrotra
Shikhar Mehrotra is a scholar working on Immunology, Oncology and Physiology, having authored 105 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (34 papers), Immunotherapy and Immune Responses (26 papers), CAR-T cell therapy research (26 papers), T-cell and B-cell Immunology (26 papers), Cancer Immunotherapy and Biomarkers (11 papers), Sphingolipid Metabolism and Signaling (8 papers), melanin and skin pigmentation (7 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.2k citations) and Cell Biology (488 citations). Shikhar Mehrotra has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Vijay K. Singh, Chrystal M. Paulos, S. S. Agarwal, Shilpak Chatterjee, Zihai Li, Amir A. Al-Khami, Pravin Kesarwani, Nitya G. Chakraborty, Michelle H. Nelson and Anuradha K. Murali. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.