Sol Schulman

3.9k total citations
22 papers, 861 citations indexed

About

Sol Schulman is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Sol Schulman has authored 22 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 7 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Sol Schulman's work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Platelet Disorders and Treatments (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Sol Schulman is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (8 papers), Platelet Disorders and Treatments (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Sol Schulman collaborates with scholars based in United States, Canada and Austria. Sol Schulman's co-authors include Tom A. Rapoport, Weikai Li, Dana Boyd, Jon Beckwith, Belinda Wang, Karl J. Erlandson, Rachel J. Dutton, Robert Flaumenhaft, Bruce Furie and Cindy Y. Jao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sol Schulman

21 papers receiving 854 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sol Schulman United States 11 486 179 178 98 95 22 861
Andrea Verhagen United States 14 738 1.5× 90 0.5× 91 0.5× 64 0.7× 96 1.0× 19 1.5k
Michèle Maurice France 24 544 1.1× 96 0.5× 264 1.5× 80 0.8× 194 2.0× 35 1.6k
Weibin Wu China 22 704 1.4× 154 0.9× 39 0.2× 27 0.3× 53 0.6× 88 1.4k
R. Oude Elferink Netherlands 7 609 1.3× 84 0.5× 56 0.3× 204 2.1× 163 1.7× 13 1.8k
Yannick Laperche France 26 680 1.4× 112 0.6× 114 0.6× 93 0.9× 62 0.7× 51 1.6k
Detlev Ameis Germany 17 530 1.1× 218 1.2× 184 1.0× 32 0.3× 18 0.2× 30 1.5k
Scott Thomson United Kingdom 11 482 1.0× 119 0.7× 40 0.2× 43 0.4× 69 0.7× 13 1.0k
S. Basu India 18 651 1.3× 83 0.5× 139 0.8× 58 0.6× 13 0.1× 35 1.4k
Ewa E. Hennig Poland 20 501 1.0× 94 0.5× 44 0.2× 32 0.3× 31 0.3× 50 1.1k
Seigo Shumiya Japan 15 396 0.8× 70 0.4× 139 0.8× 55 0.6× 56 0.6× 45 801

Countries citing papers authored by Sol Schulman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sol Schulman

This figure shows the co-authorship network connecting the top 25 collaborators of Sol Schulman. A scholar is included among the top collaborators of Sol Schulman 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 Sol Schulman. Sol Schulman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ansari, Shabbir A., et al.. (2025). Human missense variants in F3 impair the initiation of blood coagulation. Blood. 147(6). 689–701.
2.
Becker, Isabelle C., Virginia Camacho, María N. Barrachina, et al.. (2024). Targeting cargo to an unconventional secretory system within megakaryocytes allows the release of transgenic proteins from platelets. Journal of Thrombosis and Haemostasis. 22(11). 3235–3248. 4 indexed citations
3.
Bauer, Kenneth A., et al.. (2023). Periprocedural management of type 2N von Willebrand disease with efanesoctocog alfa. Journal of Thrombosis and Haemostasis. 21(12). 3508–3510. 6 indexed citations
4.
Patell, Rushad, Christian Peters, Moua Yang, et al.. (2023). The unfolded protein response links ER stress to cancer-associated thrombosis. JCI Insight. 8(19). 5 indexed citations
5.
Schmaier, Alec A., et al.. (2023). TMEM16E regulates endothelial cell procoagulant activity and thrombosis. Journal of Clinical Investigation. 133(11). 22 indexed citations
6.
Schulman, Sol, et al.. (2023). Human Genetic Variation in F3 and Its Impact on Tissue Factor–Dependent Disease. Seminars in Thrombosis and Hemostasis. 50(2). 188–199. 2 indexed citations
7.
Schmaier, Alec A., et al.. (2022). TMEM16E Regulates Endothelial Cell Procoagulant Activity and Thrombosis. Blood. 140(Supplement 1). 1654–1655. 1 indexed citations
8.
Ansari, Shabbir A., Alec A. Schmaier, Keiichi Enjyoji, et al.. (2021). SARS-CoV-2 Ion Channel ORF3a Enables TMEM16F-Dependent Phosphatidylserine Externalization to Augment Procoagulant Activity of the Tenase and Prothrombinase Complexes. Blood. 138(Supplement 1). 1–1. 6 indexed citations
9.
Schulman, Sol, Mary H.C. Florido, Max Friesen, et al.. (2020). A coagulation defect arising from heterozygous premature termination of tissue factor. Journal of Clinical Investigation. 130(10). 5302–5312. 17 indexed citations
10.
Patell, Rushad, Christian Peters, Sol Schulman, et al.. (2019). The Unfolded Protein Response Causes Prothrombotic Transformation of Pancreatic Cancer Linking Tumor Progression with Cancer-Associated Thrombosis. Blood. 134(Supplement_1). 632–632. 2 indexed citations
11.
Higgins, Sarah J., Karen De Ceunynck, John A. Kellum, et al.. (2018). Tie2 protects the vasculature against thrombus formation in systemic inflammation. Journal of Clinical Investigation. 128(4). 1471–1484. 95 indexed citations
12.
Schulman, Sol, Pavan K. Bendapudi, Anish V. Sharda, et al.. (2015). Extracellular Thiol Isomerases and Their Role in Thrombus Formation. Antioxidants and Redox Signaling. 24(1). 1–15. 59 indexed citations
13.
Jorge, Susan E., Sol Schulman, Jason A. Freed, et al.. (2015). Responses to the multitargeted MET/ALK/ROS1 inhibitor crizotinib and co-occurring mutations in lung adenocarcinomas with MET amplification or MET exon 14 skipping mutation. Lung Cancer. 90(3). 369–374. 59 indexed citations
14.
Schulman, Sol & Bruce Furie. (2014). How I treat poisoning with vitamin K antagonists. Blood. 125(3). 438–442. 21 indexed citations
15.
Chen, Xin, Hanna Tukachinsky, Chih‐Hsiang Huang, et al.. (2011). Processing and turnover of the Hedgehog protein in the endoplasmic reticulum. The Journal of Cell Biology. 192(5). 825–838. 105 indexed citations
16.
Li, Weikai, Sol Schulman, Rachel J. Dutton, et al.. (2010). Structure of a bacterial homologue of vitamin K epoxide reductase. Nature. 463(7280). 507–512. 150 indexed citations
17.
Schulman, Sol, Belinda Wang, Weikai Li, & Tom A. Rapoport. (2010). Vitamin K epoxide reductase prefers ER membrane-anchored thioredoxin-like redox partners. Proceedings of the National Academy of Sciences. 107(34). 15027–15032. 123 indexed citations
18.
Schulman, Sol. (2008). More on: vitamin K antagonists and cancer. Journal of Thrombosis and Haemostasis. 6(8). 1442–1443. 2 indexed citations
19.
Saparov, Sapar M., Karl J. Erlandson, Kurt S. Cannon, et al.. (2007). Determining the Conductance of the SecY Protein Translocation Channel for Small Molecules. Molecular Cell. 26(4). 501–509. 80 indexed citations
20.
Li, Weikai, Sol Schulman, Dana Boyd, et al.. (2007). The Plug Domain of the SecY Protein Stabilizes the Closed State of the Translocation Channel and Maintains a Membrane Seal. Molecular Cell. 26(4). 511–521. 95 indexed citations

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.

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