V E Williams
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
-
- Monoclonal and Polyclonal Antibodies Research
Papers in ⓘ
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Diane Mathis (4 shared papers)Christophe Benoıst (3 shared papers)Hugh O. McDevitt (3 shared papers)H O McDevitt (2 shared papers)Michael H. Kanter (1 shared paper)C Benoist (1 shared paper)Janice Pero (2 shared papers)Eve Ann Zachgo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell (2 papers)Journal of Industrial Microbiology & Biotechnology (1 paper)Journal of Bacteriology (1 paper)Infection and Immunity (1 paper)
- Partner nations
- United States
In The Last Decade
V E Williams
8 papers receiving 756 citations
Peers
Comparison fields: 5 of 69
- Immunology 481
- Radiology, Nuclear Medicine and Imaging 208
- Immunology and Allergy 48
- Genetics 162
- Molecular Biology 350
Countries citing papers authored by V E Williams
This map shows the geographic impact of V E Williams'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 V E Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V E Williams more than expected).
Fields of papers citing papers by V E Williams
This network shows the impact of papers produced by V E Williams. 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 V E Williams. The network helps show where V E Williams may publish in the future.
Co-authors
The 20 scholars most cited alongside V E Williams, 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 | 1983 | 214 | |
| 2 | 1983 | 158 | |
| 3 | 1983 | 157 | |
| 4 | 1999 | 153 | |
| 5 | 1983 | 79 | |
| 6 | 1979 | 35 | |
| 7 | 1990 | 16 | |
| 8 | 1989 | 13 |
About V E Williams
V E Williams is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Molecular Biology, Immunology and Pharmacology, having authored 8 papers that have together received 825 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), RNA and protein synthesis mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Hepatitis B Virus Studies (1 paper), Biochemical and Structural Characterization (1 paper), Enzyme Structure and Function (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Immunology (481 citations), Radiology, Nuclear Medicine and Imaging (208 citations), Immunology and Allergy (48 citations), Genetics (162 citations) and Molecular Biology (350 citations). V E Williams has collaborated with scholars based in United States. Frequent co-authors include Diane Mathis, Christophe Benoıst, Hugh O. McDevitt, H O McDevitt, Michael H. Kanter, C Benoist, Janice Pero, Eve Ann Zachgo, Alan Sloma and THERON E. HERMANN. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Journal of Industrial Microbiology & Biotechnology, Journal of Bacteriology 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.