Wayne V. Moore
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- Growth Hormone and Insulin-like Growth Factors 29
- Diabetes Management and Research 9
- Genetics top 2%
- Diabetes and associated disorders 11
- Nephrology top 5%
- Reproductive Medicine top 5%
- Surgery top 5%
- Pancreatic function and diabetes 24
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- Birth, Development, and Health 10
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- Liver Disease Diagnosis and Treatment 7
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- Sexual Differentiation and Disorders 7
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- Cannabis and Cannabinoid Research 6
- Co-authors
- J. WolffPaula S. LeppertKaren KoverDavid DonaldsonPei TongThomas WiegmannArnold M. ChonkoLisa Stehno‐Bittel
- Journals
- Diabetes (9 papers)The Journal of Clinical Endocrinology & Metabolism (8 papers)The Journal of Pediatrics (7 papers)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Wayne V. Moore
86 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 1.1k
- Genetics 908
- Nephrology 172
- Reproductive Medicine 144
- Surgery 600
Countries citing papers authored by Wayne V. Moore
This map shows the geographic impact of Wayne V. 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 Wayne V. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne V. Moore more than expected).
Fields of papers citing papers by Wayne V. Moore
This network shows the impact of papers produced by Wayne V. 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 Wayne V. Moore. The network helps show where Wayne V. Moore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne V. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | 2015 | 42 | |
| 3 | 2013 | 42 | |
| 4 | 2013 | 43 | |
| 5 | 2011 | 8 | |
| 6 | 2010 | 42 | |
| 7 | 2008 | 104 | |
| 8 | 2008 | 14 | |
| 9 | 2005 | 1 | |
| 10 | 2003 | 17 | |
| 11 | 2002 | 10 | |
| 12 | 2001 | 8 | |
| 13 | 1998 | 194 | |
| 14 | 1998 | 23 | |
| 15 | 1995 | 2 | |
| 16 | 1993 | 27 | |
| 17 | 1992 | 4 | |
| 18 | 1991 | 30 | |
| 19 | 1990 | 9 | |
| 20 | 1988 | 91 |
About Wayne V. Moore
Wayne V. Moore is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nephrology, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (29 papers), Pancreatic function and diabetes (24 papers), Diabetes and associated disorders (11 papers), Birth, Development, and Health (10 papers), Diabetes Management and Research (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Sexual Differentiation and Disorders (7 papers) and Cannabis and Cannabinoid Research (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (908 citations) and Nephrology (172 citations). Wayne V. Moore has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include J. Wolff, Paula S. Leppert, Karen Kover, David Donaldson, Pei Tong, Thomas Wiegmann, Arnold M. Chonko, Lisa Stehno‐Bittel, Barry W. Festoff and S. Janette Williams. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, The Journal of Pediatrics, Endocrinology and Transplantation.
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.