Jason Gotlib
- Hematology top 0.05%
- Chronic Myeloid Leukemia Treatments 93
- Acute Myeloid Leukemia Research 80
- Genetics top 0.05%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 135
- Hemoglobinopathies and Related Disorders 23
- Chronic Lymphocytic Leukemia Research 21
- Rheumatology top 0.1%
- Eosinophilic Disorders and Syndromes 90
- Immunology top 1%
- Mast cells and histamine 77
- Immunology and Allergy top 1%
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- Kruppel-like factors research 25
- Co-authors
- James L. ZehnderCatriona JamiesonAndreas ReiterCarol D. JonesWilliam ShomaliTracy I. GeorgeRuben A. MesaAyalew Tefferi
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Blood (109 papers)American Journal of Hematology (18 papers)Journal of Clinical Oncology (15 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jason Gotlib
283 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Hematology 5.3k
- Genetics 5.0k
- Rheumatology 4.0k
- Immunology 2.3k
- Immunology and Allergy 370
Countries citing papers authored by Jason Gotlib
This map shows the geographic impact of Jason Gotlib'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 Jason Gotlib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Gotlib more than expected).
Fields of papers citing papers by Jason Gotlib
This network shows the impact of papers produced by Jason Gotlib. 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 Jason Gotlib. The network helps show where Jason Gotlib may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jason Gotlib, 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 | 24 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 12 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 88 | |
| 8 | 2021 | 83 | |
| 9 | 2021 | 2 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 112 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 79 | |
| 15 | 2017 | 238 | |
| 16 | 2016 | 171 | |
| 17 | 2015 | 37 | |
| 18 | 2013 | 39 | |
| 19 | 2012 | 100 | |
| 20 | 2011 | 310 |
About Jason Gotlib
Jason Gotlib is a scholar working on Hematology, Genetics and Rheumatology, having authored 297 papers that have together received 11.0k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (135 papers), Chronic Myeloid Leukemia Treatments (93 papers), Eosinophilic Disorders and Syndromes (90 papers), Acute Myeloid Leukemia Research (80 papers), Mast cells and histamine (77 papers), Kruppel-like factors research (25 papers), Hemoglobinopathies and Related Disorders (23 papers) and Chronic Lymphocytic Leukemia Research (21 papers). The work is most often cited by research in Hematology (5.3k citations), Genetics (5.0k citations) and Rheumatology (4.0k citations). Jason Gotlib has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James L. Zehnder, Catriona Jamieson, Andreas Reiter, Carol D. Jones, William Shomali, Tracy I. George, Ruben A. Mesa, Ayalew Tefferi, Irving L. Weissman and Srđan Verstovšek. Their work appears in journals such as Blood, American Journal of Hematology, Journal of Clinical Oncology, Leukemia and Blood Advances.
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.