Aditya Mohan
Impact in
-
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 13
- CAR-T cell therapy research 7
- Cancer Immunotherapy and Biomarkers 5
- Immunology 11
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Immune Cell Function and Interaction 2
- Co-authors
- Mark Yarchoan (7 shared papers)John H. Sampson (7 shared papers)Lauren Dennison (4 shared papers)Mustafa Khasraw (8 shared papers)Kelly Hotchkiss (9 shared papers)Elizabeth M. Jaffee (4 shared papers)William H. Tomaszewski (2 shared papers)Peter E. Fecci (6 shared papers)
- Journals
- Neuro-Oncology (4 papers)Cancers (2 papers)BioDrugs (1 paper)Clinical Cancer Research (1 paper)Cancer Control (1 paper)
- Partner nations
- United StatesIndiaFrance
In The Last Decade
Aditya Mohan
25 papers receiving 429 citations
Peers
Comparison fields: 5 of 63
- Immunology 186
- Oncology 184
- Genetics 50
- Cancer Research 31
- Molecular Biology 128
Countries citing papers authored by Aditya Mohan
This map shows the geographic impact of Aditya 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 Aditya Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Mohan more than expected).
Fields of papers citing papers by Aditya Mohan
This network shows the impact of papers produced by Aditya 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 Aditya Mohan. The network helps show where Aditya Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Aditya Mohan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2023 | 72 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 33 | |
| 5 | 2017 | 25 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 25 | |
| 8 | 2023 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2022 | 4 | |
| 16 | Vincristine induced thrombocytosis. | 1994 | 3 |
| 17 | 2024 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2020 | 1 |
About Aditya Mohan
Aditya Mohan is a scholar working on Oncology, Immunology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 435 indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Glioma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Melanoma and MAPK Pathways (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (186 citations), Oncology (184 citations), Genetics (50 citations), Cancer Research (31 citations) and Molecular Biology (128 citations). Aditya Mohan has collaborated with scholars based in United States, India and France. Frequent co-authors include Mark Yarchoan, John H. Sampson, Lauren Dennison, Mustafa Khasraw, Kelly Hotchkiss, Elizabeth M. Jaffee, William H. Tomaszewski, Peter E. Fecci, Sarah Cook and Daniel Wilkinson. Their work appears in journals such as Neuro-Oncology, Cancers, BioDrugs, Clinical Cancer Research and Cancer Control.
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.