Arjun Khunger
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Inflammatory Biomarkers in Disease Prognosis
- Cultural Studies top 5%
- Tattoo and Body Piercing Complications
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 8
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- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Vamsidhar Velcheti (8 shared papers)Monica Khunger (6 shared papers)Niti Khunger (1 shared paper)Nikhil Agrawal (3 shared papers)Ahmad A. Tarhini (6 shared papers)Konark Malhotra (3 shared papers)Georgios Tsivgoulis (1 shared paper)Jason J. Chang (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)PLoS ONE (2 papers)Neuro-Oncology (1 paper)OncoImmunology (1 paper)Blood (1 paper)
- Partner nations
- United StatesIndiaGreece
In The Last Decade
Arjun Khunger
27 papers receiving 543 citations
Peers
Comparison fields: 5 of 80
- Oncology 219
- Cultural Studies 49
- Neurology 45
- Dermatology 39
- Health Informatics 5
Countries citing papers authored by Arjun Khunger
This map shows the geographic impact of Arjun Khunger'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 Arjun Khunger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Khunger more than expected).
Fields of papers citing papers by Arjun Khunger
This network shows the impact of papers produced by Arjun Khunger. 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 Arjun Khunger. The network helps show where Arjun Khunger may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Khunger, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 93 | |
| 2 | 2015 | 66 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 62 | |
| 5 | 2018 | 61 | |
| 6 | 2020 | 55 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 23 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2018 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 3 |
About Arjun Khunger
Arjun Khunger is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 556 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), CAR-T cell therapy research (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Immunotherapy and Immune Responses (6 papers), Cancer Genomics and Diagnostics (2 papers), Neurological disorders and treatments (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Neurological and metabolic disorders (2 papers). The work is most often cited by research in Oncology (219 citations), Cultural Studies (49 citations), Neurology (45 citations), Dermatology (39 citations) and Health Informatics (5 citations). Arjun Khunger has collaborated with scholars based in United States, India and Greece. Frequent co-authors include Vamsidhar Velcheti, Monica Khunger, Niti Khunger, Nikhil Agrawal, Ahmad A. Tarhini, Konark Malhotra, Georgios Tsivgoulis, Jason J. Chang, Jeffrey A. Switzer and Nitin Goyal. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Neuro-Oncology, OncoImmunology and Blood.
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.