Wayne P. Schraw
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Immunotherapy and Immune Responses
- Small Animals top 5%
- Veterinary medicine and infectious diseases
Papers in
- Oncology 7
- Chemokine receptors and signaling 4
- Cytokine Signaling Pathways and Interactions 2
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- Cell Adhesion Molecules Research 3
- Co-authors
- Ann J. Richmond (6 shared papers)Mark S. McClain (4 shared papers)Timothy L. Cover (4 shared papers)Susan G. Mueller (5 shared papers)Yi Li (1 shared paper)John Robert White (2 shared papers)Quang Vinh Lam (1 shared paper)Patrice Boquet (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Archives of Biochemistry and Biophysics (2 papers)Biochemistry (2 papers)Infection and Immunity (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Wayne P. Schraw
17 papers receiving 630 citations
Peers
Comparison fields: 5 of 70
- Immunology 386
- Small Animals 94
- Immunology and Allergy 72
- Surgery 285
- Oncology 168
Countries citing papers authored by Wayne P. Schraw
This map shows the geographic impact of Wayne P. Schraw'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 Wayne P. Schraw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne P. Schraw more than expected).
Fields of papers citing papers by Wayne P. Schraw
This network shows the impact of papers produced by Wayne P. Schraw. 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 Wayne P. Schraw. The network helps show where Wayne P. Schraw may publish in the future.
Co-authors
The 23 scholars most cited alongside Wayne P. Schraw, 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 | 2002 | 129 | |
| 2 | 1999 | 118 | |
| 3 | 1997 | 110 | |
| 4 | 2000 | 81 | |
| 5 | 1994 | 58 | |
| 6 | 1995 | 38 | |
| 7 | 1999 | 30 | |
| 8 | 1995 | 28 | |
| 9 | 1997 | 20 | |
| 10 | 1981 | 10 | |
| 11 | 1989 | 9 | |
| 12 | 1997 | 8 | |
| 13 | 1983 | 7 | |
| 14 | 1979 | 5 | |
| 15 | 1981 | 2 | |
| 16 | 1981 | 2 | |
| 17 | 1982 | 1 |
About Wayne P. Schraw
Wayne P. Schraw is a scholar working on Oncology, Immunology and Allergy, Immunology, Molecular Biology and Surgery, having authored 17 papers that have together received 656 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (3 papers), Galectins and Cancer Biology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (386 citations), Small Animals (94 citations), Immunology and Allergy (72 citations), Surgery (285 citations) and Oncology (168 citations). Wayne P. Schraw has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Ann J. Richmond, Mark S. McClain, Timothy L. Cover, Susan G. Mueller, Yi Li, John Robert White, Quang Vinh Lam, Patrice Boquet, Vittorio Ricci and Hideki Iwamoto. Their work appears in journals such as Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, Archives of Biochemistry and Biophysics, Biochemistry and Infection and Immunity.
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.