Jay Patel
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 26
- Chronic Myeloid Leukemia Treatments 13
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 23
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 7
- Molecular Biology top 5%
- Kruppel-like factors research 4
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- Eosinophilic Disorders and Syndromes 8
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- Neonatal Health and Biochemistry 4
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- Lymphoma Diagnosis and Treatment 4
- Co-authors
- Ross L. LevineOmar Abdel‐WahabCyrus V. HedvatValeria R. FantinKim A. SharpJustin R. CrossJoshua D. RabinowitzAlexander E. Perl
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Jay Patel
56 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Hematology 1.4k
- Genetics 1.1k
- Cancer Research 917
- Molecular Biology 1.9k
- Computer Science Applications 100
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 43 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 29 | |
| 8 | Crigler Technique For Congenital Nasolacrimal Duct Obstruction | 2021 | 0 |
| 9 | Anatomy, Head and Neck, Frontalis Muscle | 2021 | 2 |
| 10 | 2021 | 36 | |
| 11 | Ophthalmic Manifestations Of Coronavirus (COVID-19) | 2020 | 35 |
| 12 | 2017 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2015 | 22 | |
| 15 | 2015 | 1 | |
| 16 | 2010 | 227 | |
| 17 | The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutaratebreakdown → | 2010 | 1483 |
| 18 | 2008 | 185 | |
| 19 | 1993 | 48 | |
| 20 | 1989 | 21 |
About Jay Patel
Jay Patel is a scholar working on Hematology, Genetics, Cancer Research, Dermatology and Rheumatology, having authored 60 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (26 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (23 papers), Chronic Myeloid Leukemia Treatments (13 papers), Eosinophilic Disorders and Syndromes (8 papers), Cancer Genomics and Diagnostics (7 papers), Neonatal Health and Biochemistry (4 papers), Kruppel-like factors research (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (1.1k citations), Cancer Research (917 citations), Molecular Biology (1.9k citations) and Computer Science Applications (100 citations). Jay Patel has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Ross L. Levine, Omar Abdel‐Wahab, Cyrus V. Hedvat, Valeria R. Fantin, Kim A. Sharp, Justin R. Cross, Joshua D. Rabinowitz, Alexander E. Perl, Martin Carroll and David R. Wise. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Leukemia Research and Journal of the National Comprehensive Cancer Network.
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.