Eric E. Williams
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
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- HER2/EGFR in Cancer Research
- Chemokine receptors and signaling
Papers in
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- Cell Adhesion Molecules Research 3
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Jing Yang (1 shared paper)Kevin Croce (1 shared paper)Bruce Furie (1 shared paper)Boris Tchernychev (1 shared paper)Robert C. Flaumenhaft (1 shared paper)Takako Hirata (1 shared paper)Barbara C. Furie (1 shared paper)Glenn Merrill‐Skoloff (1 shared paper)
- Journals
- Drug Metabolism and Disposition (1 paper)Biochemical and Biophysical Research Communications (1 paper)The Journal of Experimental Medicine (1 paper)Oncogene (1 paper)Cancer Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Eric E. Williams
7 papers receiving 450 citations
Peers
Comparison fields: 5 of 66
- Immunology and Allergy 197
- Oncology 184
- Immunology 140
- Hematology 56
- Radiology, Nuclear Medicine and Imaging 90
Countries citing papers authored by Eric E. Williams
This map shows the geographic impact of Eric 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 Eric 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 Eric E. Williams more than expected).
Fields of papers citing papers by Eric E. Williams
This network shows the impact of papers produced by Eric 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 Eric E. Williams. The network helps show where Eric E. Williams may publish in the future.
Co-authors
The 23 scholars most cited alongside Eric 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 | 1999 | 285 | |
| 2 | 2002 | 79 | |
| 3 | 2003 | 38 | |
| 4 | 2008 | 32 | |
| 5 | 2006 | 17 | |
| 6 | 2002 | 17 | |
| 7 | CRISPR: Redefining GMOs—One Edit at a Time | 2017 | 1 |
About Eric E. Williams
Eric E. Williams is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Biochemistry, having authored 7 papers that have together received 469 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers), Cell Adhesion Molecules Research (3 papers), CRISPR and Genetic Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Immunology and Allergy (197 citations), Oncology (184 citations), Immunology (140 citations), Hematology (56 citations) and Radiology, Nuclear Medicine and Imaging (90 citations). Eric E. Williams has collaborated with scholars based in United States. Frequent co-authors include Jing Yang, Kevin Croce, Bruce Furie, Boris Tchernychev, Robert C. Flaumenhaft, Takako Hirata, Barbara C. Furie, Glenn Merrill‐Skoloff, David J. Riese and Elizabeth M. Cameron. Their work appears in journals such as Drug Metabolism and Disposition, Biochemical and Biophysical Research Communications, The Journal of Experimental Medicine, Oncogene and Cancer 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.