Jay Patel
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Glioma Diagnosis and Treatment
Papers in
- Hematology 32
- Acute Myeloid Leukemia Research 24
- Chronic Myeloid Leukemia Treatments 12
- Genetics 25
- Myeloproliferative Neoplasms: Diagnosis and Treatment 21
- Co-authors
- Ross L. Levine (10 shared papers)Omar Abdel‐Wahab (9 shared papers)Cyrus V. Hedvat (6 shared papers)Patrick S. Ward (1 shared paper)Shinsan M. Su (1 shared paper)Kim A. Sharp (1 shared paper)Valeria R. Fantin (1 shared paper)Bryson D. Bennett (1 shared paper)
- Journals
- Blood (13 papers)Leukemia (4 papers)Journal of Molecular Diagnostics (2 papers)Journal of the National Comprehensive Cancer Network (2 papers)Leukemia Research (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Jay Patel
56 papers receiving 3.3k citations
Jay Patel's Hit Papers
Peers
Comparison fields: 5 of 131
- Hematology 1.3k
- Genetics 1.1k
- Cancer Research 840
- Molecular Biology 1.8k
- Computer Science Applications 101
Countries citing papers authored by Jay Patel
This map shows the geographic impact of Jay Patel'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 Jay Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Patel more than expected).
Fields of papers citing papers by Jay Patel
This network shows the impact of papers produced by Jay Patel. 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 Jay Patel. The network helps show where Jay Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Patel, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutarate Hit paper breakdown → | 2010 | 1496 |
| 2 | 2010 | 251 | |
| 3 | 2010 | 228 | |
| 4 | 2008 | 187 | |
| 5 | 2012 | 164 | |
| 6 | 2014 | 157 | |
| 7 | 2010 | 124 | |
| 8 | 2016 | 69 | |
| 9 | 2015 | 68 | |
| 10 | 2010 | 55 | |
| 11 | 1993 | 48 | |
| 12 | 2022 | 46 | |
| 13 | 2017 | 43 | |
| 14 | 2021 | 41 | |
| 15 | 2021 | 35 | |
| 16 | Ophthalmic Manifestations Of Coronavirus (COVID-19) | 2020 | 35 |
| 17 | 2010 | 34 | |
| 18 | 2014 | 34 | |
| 19 | 2011 | 27 | |
| 20 | 2016 | 25 |
About Jay Patel
Jay Patel is a scholar working on Hematology, Genetics, Molecular Biology, Rheumatology and Cancer Research, having authored 60 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (24 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers), Chronic Myeloid Leukemia Treatments (12 papers), Eosinophilic Disorders and Syndromes (8 papers), Cancer Genomics and Diagnostics (5 papers), Neonatal Health and Biochemistry (4 papers), Kruppel-like factors research (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (1.1k citations), Cancer Research (840 citations), Molecular Biology (1.8k citations) and Computer Science Applications (101 citations). Jay Patel has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ross L. Levine, Omar Abdel‐Wahab, Cyrus V. Hedvat, Patrick S. Ward, Shinsan M. Su, Kim A. Sharp, Valeria R. Fantin, Bryson D. Bennett, Hilary A. Coller and Alexander E. Perl. Their work appears in journals such as Blood, Leukemia, Journal of Molecular Diagnostics, Journal of the National Comprehensive Cancer Network and Leukemia Research.
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.