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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- Melanoma and MAPK Pathways 2
- Co-authors
- Seongseok Yun (4 shared papers)Nicole D. Vincelette (1 shared paper)Ivo Abraham (1 shared paper)Victor Heh (2 shared papers)Tzu-Cheg Kao (2 shared papers)Salman Khan (1 shared paper)Lona Mody (1 shared paper)David G. Maloney (4 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (2 papers)BMC Geriatrics (2 papers)Blood Advances (1 paper)British Journal of Dermatology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Utkarsh Acharya
30 papers receiving 491 citations
Peers
Comparison fields: 5 of 97
- Hematology 91
- Genetics 81
- Oncology 179
- Gastroenterology 30
- Management Information Systems 45
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2010 | 69 | |
| 3 | 2019 | 64 | |
| 4 | 2000 | 47 | |
| 5 | 2008 | 46 | |
| 6 | 2018 | 30 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 24 | |
| 9 | 1998 | 20 | |
| 10 | 2009 | 18 | |
| 11 | 2013 | 15 | |
| 12 | 2000 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2015 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 1972 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2018 | 5 | |
| 20 | Cancer, Malignant Melanoma | 2019 | 2 |
About Utkarsh Acharya
Utkarsh Acharya is a scholar working on Oncology, Molecular Biology, Hematology, Immunology and Surgery, having authored 32 papers that have together received 520 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Acute Myeloid Leukemia Research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Hematology (91 citations), Genetics (81 citations), Oncology (179 citations), Gastroenterology (30 citations) and Management Information Systems (45 citations). Utkarsh Acharya has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Seongseok Yun, Nicole D. Vincelette, Ivo Abraham, Victor Heh, Tzu-Cheg Kao, Salman Khan, Lona Mody, David G. Maloney, Caron A. Jacobson and William Horvath. Their work appears in journals such as Blood, Journal of Clinical Oncology, BMC Geriatrics, Blood Advances and British Journal of Dermatology.
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.