Stephen T. Sawyer
- Molecular Biology top 5%
- Hematology top 0.5%
- Physiology top 2%
- Oncology top 5%
- Genetics top 1%
- Co-authors
- Stanley CohenS B KrantzSarah M. Jacobs-HelberKalyani PentaMark J. KouryMaurice C. BondurantK SawadaAmittha Wickrema
- Topics
- Erythrocyte Function and Pathophysiology (28 papers)Erythropoietin and Anemia Treatment (22 papers)Cytokine Signaling Pathways and Interactions (13 papers)
- Cited by
- HematologyGeneticsPhysiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSpainCanada
In The Last Decade
Stephen T. Sawyer
57 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.6k
- Hematology 1.3k
- Physiology 1.2k
- Oncology 855
- Genetics 651
Countries citing papers authored by Stephen T. Sawyer
This map shows the geographic impact of Stephen T. Sawyer'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. Sawyer 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. Sawyer more than expected).
Fields of papers citing papers by Stephen T. Sawyer
This network shows the impact of papers produced by Stephen T. Sawyer. 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. Sawyer. The network helps show where Stephen T. Sawyer may publish in the future.
Co-authorship network of co-authors of Stephen T. Sawyer
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Sawyer. A scholar is included among the top collaborators of Stephen T. Sawyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen T. Sawyer. Stephen T. Sawyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 16 | |
| 4 | 26 | |
| 5 | 13 | |
| 6 | 28 | |
| 7 | 23 | |
| 8 | 89 | |
| 9 | 122 | |
| 10 | 91 | |
| 11 | 87 | |
| 12 | 37 | |
| 13 | 62 | |
| 14 | 32 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | 173 | |
| 18 | 100 | |
| 19 | Purification of erythroid progenitor cells and characterization of erythropoietin receptors. | 4 |
| 20 | 45 |
About Stephen T. Sawyer
Stephen T. Sawyer is a scholar working on Hematology, Physiology and Genetics, having authored 58 papers that have together received 3.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (28 papers), Erythropoietin and Anemia Treatment (22 papers) and Cytokine Signaling Pathways and Interactions (13 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (651 citations) and Physiology (1.2k citations). Stephen T. Sawyer has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Stanley Cohen, S B Krantz, Sarah M. Jacobs-Helber, Kalyani Penta, Mark J. Koury, Maurice C. Bondurant, K Sawada, Amittha Wickrema, Eugene Goldwasser and EN Dessypris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.