William T. Moore
Impact in
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
-
- Diabetes Management and Education
- Growth Hormone and Insulin-like Growth Factors
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)Ronald E. Aubert (1 shared paper)Cathy Bailey (1 shared paper)Bercedis L. Peterson (1 shared paper)
- Journals
- Journal of Biological Chemistry (6 papers)Journal of Virology (4 papers)Journal of Chromatography A (3 papers)The Journal of Immunology (3 papers)Experimental Biology and Medicine (3 papers)
- Partner nations
- United StatesIndiaJordan
In The Last Decade
William T. Moore
78 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 134
- Reproductive Medicine 264
- Endocrinology, Diabetes and Metabolism 483
- Immunology 472
- Spectroscopy 326
- Biochemistry 108
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 | 452 | |
| 2 | 1997 | 258 | |
| 3 | 1985 | 148 | |
| 4 | 2018 | 105 | |
| 5 | 2018 | 99 | |
| 6 | 2000 | 91 | |
| 7 | 1990 | 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 | 51 |
About William T. Moore
William T. Moore is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Spectroscopy and Epidemiology, 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), Reproductive Physiology in Livestock (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Reproductive Medicine (264 citations), Endocrinology, Diabetes and Metabolism (483 citations), Immunology (472 citations), Spectroscopy (326 citations) and Biochemistry (108 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, Ronald E. Aubert, Cathy Bailey, Bercedis L. Peterson, William H. Herman and Jeffrey P. Koplan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Journal of Chromatography A, The Journal of Immunology and Experimental Biology and Medicine.
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.