Sol Schulman
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
- Hematology 11
- Blood Coagulation and Thrombosis Mechanisms 8
- Hemophilia Treatment and Research 3
- Platelet Disorders and Treatments 3
- Co-authors
- Tom A. Rapoport (5 shared papers)Weikai Li (3 shared papers)Jon Beckwith (2 shared papers)Dana Boyd (2 shared papers)Belinda Wang (1 shared paper)Karl J. Erlandson (2 shared papers)Rachel J. Dutton (1 shared paper)Robert Flaumenhaft (8 shared papers)
- Journals
- Blood (5 papers)Journal of Thrombosis and Haemostasis (3 papers)Journal of Clinical Investigation (3 papers)Molecular Cell (2 papers)Seminars in Thrombosis and Hemostasis (1 paper)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
Sol Schulman
21 papers receiving 854 citations
Peers
Comparison fields: 5 of 80
- Pharmacology 95
- Cell Biology 178
- Molecular Biology 486
- Genetics 179
- Internal Medicine 24
Countries citing papers authored by Sol Schulman
This map shows the geographic impact of Sol Schulman'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 Sol Schulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sol Schulman more than expected).
Fields of papers citing papers by Sol Schulman
This network shows the impact of papers produced by Sol Schulman. 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 Sol Schulman. The network helps show where Sol Schulman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sol Schulman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 150 | |
| 2 | 2010 | 123 | |
| 3 | 2011 | 105 | |
| 4 | 2018 | 95 | |
| 5 | 2007 | 95 | |
| 6 | 2007 | 80 | |
| 7 | 2015 | 59 | |
| 8 | 2015 | 59 | |
| 9 | 2023 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2020 | 17 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2012 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2019 | 2 |
About Sol Schulman
Sol Schulman is a scholar working on Hematology, Molecular Biology, Genetics, Genetics and Internal Medicine, having authored 22 papers that have together received 861 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Hemophilia Treatment and Research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Vitamin K Research Studies (3 papers), Platelet Disorders and Treatments (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Pharmacology (95 citations), Cell Biology (178 citations), Molecular Biology (486 citations), Genetics (179 citations) and Internal Medicine (24 citations). Sol Schulman has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Tom A. Rapoport, Weikai Li, Jon Beckwith, Dana Boyd, Belinda Wang, Karl J. Erlandson, Rachel J. Dutton, Robert Flaumenhaft, Bruce Furie and Sapar M. Saparov. Their work appears in journals such as Blood, Journal of Thrombosis and Haemostasis, Journal of Clinical Investigation, Molecular Cell and Seminars in Thrombosis and Hemostasis.
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.