Wayne V. Moore

4.2k citations
88 papers · 2.6k · h-index 30

Impact in

    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes Management and Research
  • Genetics top 2%
    • Diabetes and associated disorders
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

Wayne V. Moore

86 papers receiving 2.5k citations

Peers

Wayne V. Moore
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 908
  • Nephrology 172
  • Reproductive Medicine 144
  • Surgery 600
Replace Nobutake Matsuo with:
Nobutake Matsuo Japan
Serap Turan Türkiye
Daniel L. Metzger Canada
Shinji Kosugi Japan
Geraldo Medeiros‐Neto Brazil
Wölfram Karges Germany
K Miyai Japan
Karl Otfried Schwab Germany
S Tarui Japan
George Koukoulis Greece
Wayne V. Moore relative to Nobutake Matsuo Japan Nobutake Matsuo's profile →
Citations per field
00.5×2.7×
Nobutake Matsuo · 1×
Citations per year

Countries citing papers authored by Wayne V. Moore

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Wayne V. Moore Line = papers co-authored together Wayne V. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998194
2 1980169
3 2005150
4 1992134
5 2008104
6 201397
7 197396
8 198891
9 198483
10 197476
11 200376
12 201665
13 199261
14 199561
15 198955
16 199050
17 198246
18 201343
19 201542
20 201342

About Wayne V. Moore

Wayne V. Moore is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, 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), Sexual Differentiation and Disorders (7 papers), Liver Disease Diagnosis and Treatment (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), Nephrology (172 citations), Reproductive Medicine (144 citations) and Surgery (600 citations). Wayne V. Moore has collaborated with scholars based in United States, Australia and Switzerland. 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.

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