Michael P. Moore

112 papers receiving 2.3k citations

Peers

Michael P. Moore
Comparison fields: 5 of 165
  • Orthopedics and Sports Medicine 394
  • Small Animals 223
  • Ecological Modeling 116
  • Equine 28
  • Genetics 157
Replace Wei‐Min Chen with:
Wei‐Min Chen United States
Ralph Marcucio United States
Bryan Sykes United Kingdom
Christine Hartmann Germany
Margaret M. Smith Australia
Richard J. Goss United States
Tamara A. Franz‐Odendaal Canada
Jean‐Paul Roux France
John F. Fallon United States
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Citations per field
00.5×10×15.9×
Wei‐Min Chen · 1×
Citations per year

Countries citing papers authored by Michael P. Moore

Since Specialization
Citations

This map shows the geographic impact of Michael P. 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 Michael P. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Moore more than expected).

Fields of papers citing papers by Michael P. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. 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 Michael P. Moore. The network helps show where Michael P. Moore may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael P. 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 Michael P. Moore Line = papers co-authored together Michael P. Moore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001197
2 1997158
3 2001136
4
Changing Paths: International Development and the New Politics of Inclusion
2003105
5 201979
6 199778
7
Clinical signs associated with brain tumors in dogs: 97 cases (1992-1997).
199966
8 199963
9 199658
10 200349
11 202144
12 199343
13 199642
14 199242
15 199442
16 199138
17 200438
18 198537
19 202136
20 200136

About Michael P. Moore

Michael P. Moore is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Pulmonary and Respiratory Medicine, Small Animals and Epidemiology, having authored 117 papers that have together received 2.5k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (26 papers), Plant and animal studies (17 papers), Amphibian and Reptile Biology (9 papers), Species Distribution and Climate Change (9 papers), Inflammatory Myopathies and Dermatomyositis (7 papers), Veterinary Oncology Research (7 papers), Breast Cancer Treatment Studies (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (394 citations), Small Animals (223 citations), Ecological Modeling (116 citations), Equine (28 citations) and Genetics (157 citations). Michael P. Moore has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Ryan A. Martin, David W. Kinne, Daniel Baker, Patrick R. Gavin, Peter P. Houtzager, Rodney S. Bagley, Michael L. Harrington, Susan L. Kraft, C. E. DeHaan and Charles W. Leathers. Their work appears in journals such as American Journal of Veterinary Research, Veterinary Surgery, Journal of the American Veterinary Medical Association, Veterinary Clinics of North America Small Animal Practice and The Journal of Strength and Conditioning Research.

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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