Amir T. Fathi
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 130
- Chronic Myeloid Leukemia Treatments 38
- Multiple Myeloma Research and Treatments 25
- Genetics top 1%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 27
- Chronic Lymphocytic Leukemia Research 26
- Oncology top 2%
- Cancer Research top 5%
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- Acute Lymphoblastic Leukemia research 17
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- Histone Deacetylase Inhibitors Research 29
- Protein Degradation and Inhibitors 21
- Co-authors
- Courtney D. DiNardoAndrew M. BrunnerDaniel A. PollyeaEytan M. SteinYi‐Bin ChenStéphane de BottonDaniel J. DeAngeloBruno C. Medeiros
- Cited by
- HematologyGeneticsOncology
- Journals
- Blood (64 papers)Journal of Clinical Oncology (29 papers)American Journal of Hematology (7 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Amir T. Fathi
193 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 118
- Hematology 2.3k
- Genetics 703
- Oncology 984
- Cancer Research 477
- Public Health, Environmental and Occupational Health 769
Countries citing papers authored by Amir T. Fathi
This map shows the geographic impact of Amir T. Fathi'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 Amir T. Fathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir T. Fathi more than expected).
Fields of papers citing papers by Amir T. Fathi
This network shows the impact of papers produced by Amir T. Fathi. 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 Amir T. Fathi. The network helps show where Amir T. Fathi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Amir T. Fathi, 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 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 7 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 21 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2021 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 104 | |
| 16 | 2019 | 4 | |
| 17 | 2017 | 1 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 8 | |
| 20 | 2012 | 20 |
About Amir T. Fathi
Amir T. Fathi is a scholar working on Hematology, Genetics and Oncology, having authored 203 papers that have together received 3.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (130 papers), Chronic Myeloid Leukemia Treatments (38 papers), Histone Deacetylase Inhibitors Research (29 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (26 papers), Multiple Myeloma Research and Treatments (25 papers), Protein Degradation and Inhibitors (21 papers) and Acute Lymphoblastic Leukemia research (17 papers). The work is most often cited by research in Hematology (2.3k citations), Genetics (703 citations) and Oncology (984 citations). Amir T. Fathi has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Courtney D. DiNardo, Andrew M. Brunner, Daniel A. Pollyea, Eytan M. Stein, Yi‐Bin Chen, Stéphane de Botton, Daniel J. DeAngelo, Bruno C. Medeiros, Richard M. Stone and Ronan Swords. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, Cancer 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.