Anuj Verma
Impact in
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- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Viral-associated cancers and disorders
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Lymphoma Diagnosis and Treatment 4
- Tumors and Oncological Cases 2
- Oncology 7
- Viral-associated cancers and disorders 2
- Co-authors
- Ignacio I. Wistuba (4 shared papers)Bharat Rekhi (4 shared papers)Dipen M. Maru (6 shared papers)Scott Kopetz (5 shared papers)Barbara Mino (3 shared papers)Luisa M. Solis (3 shared papers)Jaime Rodriguez‐Canales (2 shared papers)Sharia Hernandez (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Clinical Breast Cancer (1 paper)npj Precision Oncology (1 paper)Blood (1 paper)
- Partner nations
- IndiaUnited StatesSwitzerland
In The Last Decade
Anuj Verma
34 papers receiving 240 citations
Peers
Comparison fields: 5 of 58
- Oncology 78
- Hepatology 20
- Pathology and Forensic Medicine 36
- Biophysics 10
- Immunology 30
Countries citing papers authored by Anuj Verma
This map shows the geographic impact of Anuj Verma'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 Anuj Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Verma more than expected).
Fields of papers citing papers by Anuj Verma
This network shows the impact of papers produced by Anuj Verma. 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 Anuj Verma. The network helps show where Anuj Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Anuj Verma, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 46 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 36 | |
| 4 | 2019 | 14 | |
| 5 | 2017 | 10 | |
| 6 | 2011 | 10 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2021 | 7 | |
| 11 | 2017 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2016 | 3 |
About Anuj Verma
Anuj Verma is a scholar working on Pathology and Forensic Medicine, Oncology, Rheumatology, Surgery and Molecular Biology, having authored 36 papers that have together received 245 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), Urologic and reproductive health conditions (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Bone Tumor Diagnosis and Treatments (2 papers), Viral-associated cancers and disorders (2 papers) and Tumors and Oncological Cases (2 papers). The work is most often cited by research in Oncology (78 citations), Hepatology (20 citations), Pathology and Forensic Medicine (36 citations), Biophysics (10 citations) and Immunology (30 citations). Anuj Verma has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Ignacio I. Wistuba, Bharat Rekhi, Dipen M. Maru, Scott Kopetz, Barbara Mino, Luisa M. Solis, Jaime Rodriguez‐Canales, Sharia Hernandez, Sridhar Epari and Tanuja Shet. Their work appears in journals such as Clinical Cancer Research, Archives of Pathology & Laboratory Medicine, Clinical Breast Cancer, npj Precision Oncology 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.