William T. Moore
Impact in
-
- Diabetes Management and Education
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Immunology 16
- Complement system in diseases 8
- Toxin Mechanisms and Immunotoxins 6
- Co-authors
- Richard M. Caprioli (7 shared papers)John D. Lambris (12 shared papers)Peter J. Davies (5 shared papers)George R. Bousfield (9 shared papers)D N Ward (3 shared papers)Cathy Bailey (1 shared paper)David Sutton (1 shared paper)Jeffrey P. Koplan (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Virology (4 papers)Experimental Biology and Medicine (3 papers)The Journal of Immunology (3 papers)Biochemistry (3 papers)
- Partner nations
- United StatesIndiaJordan
In The Last Decade
William T. Moore
76 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 136
- Endocrinology, Diabetes and Metabolism 610
- Reproductive Medicine 274
- Immunology 488
- Spectroscopy 326
- Epidemiology 676
Countries citing papers authored by William T. Moore
This map shows the geographic impact of William T. Moore'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 William T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Moore more than expected).
Fields of papers citing papers by William T. Moore
This network shows the impact of papers produced by William T. Moore. 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 William T. Moore. The network helps show where William T. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside William T. Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 451 | |
| 2 | 1997 | 257 | |
| 3 | 1985 | 148 | |
| 4 | 2018 | 102 | |
| 5 | 2018 | 95 | |
| 6 | 1990 | 91 | |
| 7 | 2000 | 91 | |
| 8 | 1996 | 87 | |
| 9 | 1984 | 82 | |
| 10 | 1999 | 80 | |
| 11 | 1989 | 72 | |
| 12 | 1987 | 72 | |
| 13 | 2001 | 70 | |
| 14 | 2001 | 63 | |
| 15 | 1996 | 62 | |
| 16 | 1991 | 61 | |
| 17 | 1987 | 61 | |
| 18 | 1980 | 54 | |
| 19 | 1993 | 52 | |
| 20 | 2001 | 50 |
About William T. Moore
William T. Moore is a scholar working on Molecular Biology, Immunology, Epidemiology, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (9 papers), Complement system in diseases (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), Reproductive Physiology in Livestock (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (610 citations), Reproductive Medicine (274 citations), Immunology (488 citations), Spectroscopy (326 citations) and Epidemiology (676 citations). William T. Moore has collaborated with scholars based in United States, India and Jordan. Frequent co-authors include Richard M. Caprioli, John D. Lambris, Peter J. Davies, George R. Bousfield, D N Ward, Cathy Bailey, David Sutton, Jeffrey P. Koplan, Ronald E. Aubert and Bercedis L. Peterson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Experimental Biology and Medicine, The Journal of Immunology and Biochemistry.
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.