Onima Chowdhury
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Platelet Disorders and Treatments
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
-
- Acute Myeloid Leukemia Research 4
- Genetics 4
- Hemoglobinopathies and Related Disorders 2
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Sheila Fisher (2 shared papers)Carolyn Dorée (2 shared papers)David J. Roberts (2 shared papers)Susan J Brunskill (2 shared papers)Sarah Gooding (2 shared papers)Sten Eirik W. Jacobsen (5 shared papers)Petter Woll (4 shared papers)Anna Katharina Simon (1 shared paper)
- Journals
- Cochrane Database of Systematic Reviews (2 papers)Blood (2 papers)Annals of the Rheumatic Diseases (2 papers)Cell Reports (1 paper)HemaSphere (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Onima Chowdhury
10 papers receiving 325 citations
Peers
Comparison fields: 5 of 54
- Hematology 160
- Genetics 138
- Epidemiology 92
- Cancer Research 37
- Physiology 10
Countries citing papers authored by Onima Chowdhury
This map shows the geographic impact of Onima Chowdhury'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 Onima Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Onima Chowdhury more than expected).
Fields of papers citing papers by Onima Chowdhury
This network shows the impact of papers produced by Onima Chowdhury. 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 Onima Chowdhury. The network helps show where Onima Chowdhury may publish in the future.
Co-authors
The 25 scholars most cited alongside Onima Chowdhury, 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 | 2015 | 126 | |
| 2 | 2013 | 52 | |
| 3 | 2013 | 50 | |
| 4 | 2013 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 2014 | 29 | |
| 7 | GERMLINE ACTIVATING JAK2-MUTATION IN A FAMILY WITH HEREDITARY THROMBOCYTOSIS | 2012 | 1 |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2026 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 |
About Onima Chowdhury
Onima Chowdhury is a scholar working on Hematology, Genetics, Rheumatology, Molecular Biology and Pathology and Forensic Medicine, having authored 13 papers that have together received 332 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Otitis Media and Relapsing Polychondritis (2 papers), Pharmacological Effects of Natural Compounds (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (160 citations), Genetics (138 citations), Epidemiology (92 citations), Cancer Research (37 citations) and Physiology (10 citations). Onima Chowdhury has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Sheila Fisher, Carolyn Dorée, David J. Roberts, Susan J Brunskill, Sarah Gooding, Sten Eirik W. Jacobsen, Petter Woll, Anna Katharina Simon, Joanna F. McGouran and Benedikt M. Kessler. Their work appears in journals such as Cochrane Database of Systematic Reviews, Blood, Annals of the Rheumatic Diseases, Cell Reports and HemaSphere.
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.