W.S. Somers
- Immunology and Allergy top 1%
- Immunology top 2%
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 6
- Protein Kinase Regulation and GTPase Signaling 5
- Biochemical and Molecular Research 4
- RNA and protein synthesis mechanisms 4
- Hematology top 5%
- Genetics top 5%
-
- Enzyme Structure and Function 7
-
- Monoclonal and Polyclonal Antibodies Research 5
-
- Growth Hormone and Insulin-like Growth Factors 4
-
- Computational Drug Discovery Methods 4
- Co-authors
- Jin TangMark StahlSimon E. V. PhillipsRaymond T. CamphausenGray D. ShawJasbir SeehraAbraham M. de VosMark Ultsch
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
W.S. Somers
37 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology and Allergy 392
- Immunology 974
- Molecular Biology 2.4k
- Hematology 317
- Genetics 648
Countries citing papers authored by W.S. Somers
This map shows the geographic impact of W.S. Somers'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 W.S. Somers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.S. Somers more than expected).
Fields of papers citing papers by W.S. Somers
This network shows the impact of papers produced by W.S. Somers. 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 W.S. Somers. The network helps show where W.S. Somers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside W.S. Somers, 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 | 2025 | 1 | |
| 2 | 2015 | 3 | |
| 3 | 2013 | 28 | |
| 4 | 2006 | 73 | |
| 5 | 2004 | 156 | |
| 6 | 2004 | 158 | |
| 7 | 2003 | 55 | |
| 8 | 2002 | 49 | |
| 9 | 2002 | 24 | |
| 10 | 2000 | 77 | |
| 11 | Insights into the Molecular Basis of Leukocyte Tethering and Rolling Revealed by Structures of P- and E-Selectin Bound to SLeX and PSGL-1breakdown → | 2000 | 612 |
| 12 | 1998 | 110 | |
| 13 | 1997 | 250 | |
| 14 | 1994 | 67 | |
| 15 | 1994 | 9 | |
| 16 | 1994 | 95 | |
| 17 | 1992 | 256 | |
| 18 | 1991 | 16 | |
| 19 | 1989 | 152 | |
| 20 | 1989 | 89 |
About W.S. Somers
W.S. Somers is a scholar working on Immunology and Allergy, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 4.3k indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Glycosylation and Glycoproteins Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Biochemical and Molecular Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), RNA and protein synthesis mechanisms (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Immunology and Allergy (392 citations), Immunology (974 citations) and Molecular Biology (2.4k citations). W.S. Somers has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jin Tang, Mark Stahl, Simon E. V. Phillips, Raymond T. Camphausen, Gray D. Shaw, Jasbir Seehra, Abraham M. de Vos, Mark Ultsch, Lidia Mosyak and James F. Tobin. Their work appears in journals such as Journal of Biological Chemistry, Structure, Nature, Cell and Journal of Molecular Biology.
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.