L W Schaffer
Impact in
- Hematology top 5%
- Blood Coagulation and Thrombosis Mechanisms
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Receptor Mechanisms and Signaling 3
- Surgery 4
- Heparin-Induced Thrombocytopenia and Thrombosis 2
- Co-authors
- Peter K. S. Siegl (11 shared papers)G P Vlasuk (3 shared papers)Christopher T. Dunwiddie (3 shared papers)Elka M. Nutt (2 shared papers)Ronald Ellis (1 shared paper)M K Sardana (1 shared paper)Thomas E. Nolan (2 shared papers)Lloyd Waxman (1 shared paper)
- Journals
- Circulation (2 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Thrombosis and Haemostasis (1 paper)Histochemistry and Cell Biology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
L W Schaffer
17 papers receiving 410 citations
Peers
Comparison fields: 5 of 62
- Hematology 177
- Internal Medicine 46
- Cardiology and Cardiovascular Medicine 133
- Genetics 51
- Cellular and Molecular Neuroscience 74
Countries citing papers authored by L W Schaffer
This map shows the geographic impact of L W Schaffer'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 L W Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L W Schaffer more than expected).
Fields of papers citing papers by L W Schaffer
This network shows the impact of papers produced by L W Schaffer. 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 L W Schaffer. The network helps show where L W Schaffer may publish in the future.
Co-authors
The 25 scholars most cited alongside L W Schaffer, 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 | 1990 | 96 | |
| 2 | 1991 | 71 | |
| 3 | 1991 | 55 | |
| 4 | 1987 | 38 | |
| 5 | 1992 | 35 | |
| 6 | 1992 | 30 | |
| 7 | 1990 | 29 | |
| 8 | 1992 | 21 | |
| 9 | 1993 | 19 | |
| 10 | 1993 | 16 | |
| 11 | 1988 | 15 | |
| 12 | 1995 | 14 | |
| 13 | 1990 | 11 | |
| 14 | 1992 | 9 | |
| 15 | 1994 | 7 | |
| 16 | 1995 | 4 | |
| 17 | 1995 | 1 |
About L W Schaffer
L W Schaffer is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Hematology, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), Leech Biology and Applications (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Venomous Animal Envenomation and Studies (2 papers) and Hemophilia Treatment and Research (1 paper). The work is most often cited by research in Hematology (177 citations), Internal Medicine (46 citations), Cardiology and Cardiovascular Medicine (133 citations), Genetics (51 citations) and Cellular and Molecular Neuroscience (74 citations). L W Schaffer has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Peter K. S. Siegl, G P Vlasuk, Christopher T. Dunwiddie, Elka M. Nutt, Ronald Ellis, M K Sardana, Thomas E. Nolan, Lloyd Waxman, Donna Smith and Michael P. Neeper. Their work appears in journals such as Circulation, Journal of Pharmacology and Experimental Therapeutics, Thrombosis and Haemostasis, Histochemistry and Cell Biology and Bioorganic & Medicinal Chemistry Letters.
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.