Peter J. Sims
Impact in
- Hematology top 0.2%
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Immunology top 0.5%
- Complement system in diseases
- Phagocytosis and Immune Regulation
Papers in
- Immunology 54
- Complement system in diseases 29
- Phagocytosis and Immune Regulation 13
- Hematology 28
- Platelet Disorders and Treatments 17
- Blood Coagulation and Thrombosis Mechanisms 13
- Blood groups and transfusion 10
- Co-authors
- Therese WiedmerKaren HamiltonQuansheng ZhouJi ZhaoRyuichi HattoriSanford J. ShattilAlan S. WaggonerJoseph F. Hoffman
- Journals
- Journal of Biological Chemistry (34 papers)Biochemistry (11 papers)Blood (7 papers)Journal of Clinical Investigation (5 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Peter J. Sims
98 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Hematology 2.3k
- Immunology 3.3k
- Immunology and Allergy 653
- Molecular Biology 4.6k
- Physiology 1.4k
Countries citing papers authored by Peter J. Sims
This map shows the geographic impact of Peter J. Sims'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 Peter J. Sims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Sims more than expected).
Fields of papers citing papers by Peter J. Sims
This network shows the impact of papers produced by Peter J. Sims. 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 Peter J. Sims. The network helps show where Peter J. Sims may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J. Sims, 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 | 46 | |
| 2 | 2014 | 7 | |
| 3 | 2013 | 41 | |
| 4 | 2013 | 21 | |
| 5 | Calcium-dependent phospholipid scrambling by TMEM16F Hit paper breakdown → | 2010 | 707 |
| 6 | 2005 | 77 | |
| 7 | 2005 | 47 | |
| 8 | 2004 | 101 | |
| 9 | 2004 | 94 | |
| 10 | 2003 | 47 | |
| 11 | 2003 | 66 | |
| 12 | 2003 | 120 | |
| 13 | 2000 | 125 | |
| 14 | 1999 | 120 | |
| 15 | 1997 | 4 | |
| 16 | 1996 | 268 | |
| 17 | 1996 | 38 | |
| 18 | 1996 | 8 | |
| 19 | 1995 | 60 | |
| 20 | 1990 | 135 |
About Peter J. Sims
Peter J. Sims is a scholar working on Immunology, Hematology, Physiology, Cell Biology and Molecular Biology, having authored 98 papers that have together received 9.4k indexed citations. Recurring topics across this work include Complement system in diseases (29 papers), Erythrocyte Function and Pathophysiology (28 papers), Lipid Membrane Structure and Behavior (25 papers), Platelet Disorders and Treatments (17 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), Phagocytosis and Immune Regulation (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Blood groups and transfusion (10 papers). The work is most often cited by research in Hematology (2.3k citations), Immunology (3.3k citations), Immunology and Allergy (653 citations), Molecular Biology (4.6k citations) and Physiology (1.4k citations). Peter J. Sims has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Therese Wiedmer, Karen Hamilton, Quansheng Zhou, Ji Zhao, Ryuichi Hattori, Sanford J. Shattil, Alan S. Waggoner, Joseph F. Hoffman, Rodger P. McEver and Masato Umeda. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Blood, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.
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.