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 2
- Surgery 5
- Co-authors
- Peter K. S. Siegl (10 shared papers)G P Vlasuk (3 shared papers)Christopher T. Dunwiddie (3 shared papers)Elka M. Nutt (2 shared papers)Thomas E. Nolan (2 shared papers)M K Sardana (1 shared paper)Michael P. Neeper (1 shared paper)Lloyd Waxman (1 shared paper)
- Journals
- Journal of Pharmacology and Experimental Therapeutics (2 papers)Circulation (2 papers)Neuropeptides (1 paper)Journal of Hypertension (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
L W Schaffer
16 papers receiving 384 citations
Peers
Comparison fields: 5 of 59
- Hematology 175
- Internal Medicine 54
- Cardiology and Cardiovascular Medicine 137
- Genetics 50
- Cellular and Molecular Neuroscience 68
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 | 91 | |
| 2 | 1991 | 67 | |
| 3 | 1991 | 52 | |
| 4 | 1987 | 35 | |
| 5 | 1992 | 34 | |
| 6 | 1990 | 24 | |
| 7 | 1992 | 24 | |
| 8 | 1992 | 20 | |
| 9 | 1993 | 17 | |
| 10 | 1993 | 14 | |
| 11 | 1990 | 11 | |
| 12 | 1988 | 11 | |
| 13 | 1995 | 10 | |
| 14 | 1992 | 7 | |
| 15 | 1994 | 6 | |
| 16 | 1995 | 1 |
About L W Schaffer
L W Schaffer is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Hematology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 424 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Renin-Angiotensin System Studies (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Leech Biology and Applications (2 papers), Receptor Mechanisms and Signaling (2 papers), Protease and Inhibitor Mechanisms (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Venomous Animal Envenomation and Studies (2 papers). The work is most often cited by research in Hematology (175 citations), Internal Medicine (54 citations), Cardiology and Cardiovascular Medicine (137 citations), Genetics (50 citations) and Cellular and Molecular Neuroscience (68 citations). L W Schaffer has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Peter K. S. Siegl, G P Vlasuk, Christopher T. Dunwiddie, Elka M. Nutt, Thomas E. Nolan, M K Sardana, Michael P. Neeper, Lloyd Waxman, Ronald Ellis and Donna Smith. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Circulation, Neuropeptides, Journal of Hypertension and Journal of Biological Chemistry.
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.