Stephen T. Oh
Impact in
- Genetics top 0.5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 123
- Myeloproliferative Neoplasms: Diagnosis and Treatment 120
- Hemoglobinopathies and Related Disorders 12
- Chronic Lymphocytic Leukemia Research 6
- Hematology 104
- Chronic Myeloid Leukemia Treatments 59
- Acute Myeloid Leukemia Research 46
- Co-authors
- Jason GotlibLaimonis A. LaiminsAmy ZhouOlga MalkovaRuben A. MesaMegan A. CooperTodd A. FehnigerRizwan Romee
- Journals
- Blood (56 papers)Journal of Clinical Oncology (10 papers)Leukemia (5 papers)Cancer Research (5 papers)Blood Advances (4 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Stephen T. Oh
142 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 1.6k
- Hematology 1.6k
- Immunology 1.0k
- Rheumatology 564
- Oncology 909
Countries citing papers authored by Stephen T. Oh
This map shows the geographic impact of Stephen T. Oh'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 Stephen T. Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Oh more than expected).
Fields of papers citing papers by Stephen T. Oh
This network shows the impact of papers produced by Stephen T. Oh. 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 Stephen T. Oh. The network helps show where Stephen T. Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen T. Oh, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 39 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 29 | |
| 12 | 2022 | 40 | |
| 13 | 2022 | 44 | |
| 14 | 2022 | 25 | |
| 15 | 2021 | 20 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 16 | |
| 18 | 2017 | 21 | |
| 19 | 2012 | 100 | |
| 20 | Colchicine reverts cell shape but not collagen phenotypes in corneal endothelial cells modulated by polymorphonuclear leukocytes. | 1987 | 2 |
About Stephen T. Oh
Stephen T. Oh is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Oncology, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (120 papers), Chronic Myeloid Leukemia Treatments (59 papers), Acute Myeloid Leukemia Research (46 papers), Kruppel-like factors research (32 papers), Eosinophilic Disorders and Syndromes (31 papers), Hemoglobinopathies and Related Disorders (12 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Genetics (1.6k citations), Hematology (1.6k citations), Immunology (1.0k citations), Rheumatology (564 citations) and Oncology (909 citations). Stephen T. Oh has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jason Gotlib, Laimonis A. Laimins, Amy Zhou, Olga Malkova, Ruben A. Mesa, Megan A. Cooper, Todd A. Fehniger, Rizwan Romee, Liyang Yu and Sarah Willey. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Cancer Research 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.