Utkarsh Acharya
Impact in
- Hematology top 10%
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
Papers in
- Oncology 15
- CAR-T cell therapy research 8
- Cancer Immunotherapy and Biomarkers 3
- Cutaneous Melanoma Detection and Management 2
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- Porphyrin Metabolism and Disorders 2
- Co-authors
- Seongseok Yun (4 shared papers)Ivo Abraham (1 shared paper)Nicole D. Vincelette (1 shared paper)Victor Heh (2 shared papers)Tzu-Cheg Kao (2 shared papers)Lona Mody (1 shared paper)Salman Khan (1 shared paper)David G. Maloney (4 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (2 papers)BMC Geriatrics (2 papers)Pharmacoepidemiology and Drug Safety (1 paper)Journal of Hematology & Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Utkarsh Acharya
30 papers receiving 502 citations
Peers
Comparison fields: 5 of 92
- Hematology 84
- Genetics 72
- Oncology 169
- Management Information Systems 45
- Gastroenterology 21
Countries citing papers authored by Utkarsh Acharya
This map shows the geographic impact of Utkarsh Acharya'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 Utkarsh Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Utkarsh Acharya more than expected).
Fields of papers citing papers by Utkarsh Acharya
This network shows the impact of papers produced by Utkarsh Acharya. 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 Utkarsh Acharya. The network helps show where Utkarsh Acharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Utkarsh Acharya, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2010 | 69 | |
| 3 | 2019 | 65 | |
| 4 | 2008 | 47 | |
| 5 | 2000 | 47 | |
| 6 | 2018 | 31 | |
| 7 | 2021 | 26 | |
| 8 | 2018 | 24 | |
| 9 | 1998 | 21 | |
| 10 | 2009 | 19 | |
| 11 | 2013 | 15 | |
| 12 | 2000 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2020 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2015 | 9 | |
| 17 | 1972 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2022 | 5 | |
| 20 | Cancer, Malignant Melanoma | 2019 | 2 |
About Utkarsh Acharya
Utkarsh Acharya is a scholar working on Oncology, Molecular Biology, Immunology, Hematology and Genetics, having authored 33 papers that have together received 529 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Porphyrin Metabolism and Disorders (2 papers), Quality and Supply Management (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hematology (84 citations), Genetics (72 citations), Oncology (169 citations), Management Information Systems (45 citations) and Gastroenterology (21 citations). Utkarsh Acharya has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Seongseok Yun, Ivo Abraham, Nicole D. Vincelette, Victor Heh, Tzu-Cheg Kao, Lona Mody, Salman Khan, David G. Maloney, Caron A. Jacobson and Roland B. Walter. Their work appears in journals such as Blood, Journal of Clinical Oncology, BMC Geriatrics, Pharmacoepidemiology and Drug Safety and Journal of Hematology & Oncology.
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.