Richard L. Meadows

32 total papers · 719 total citations
16 papers, 462 citations indexed

About

Richard L. Meadows is a scholar working on Genetics, Surgery and Small Animals. According to data from OpenAlex, Richard L. Meadows has authored 16 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 3 papers in Surgery and 3 papers in Small Animals. Recurrent topics in Richard L. Meadows's work include Human-Animal Interaction Studies (6 papers), Diabetes Management and Research (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). Richard L. Meadows is often cited by papers focused on Human-Animal Interaction Studies (6 papers), Diabetes Management and Research (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). Richard L. Meadows collaborates with scholars based in United States and Canada. Richard L. Meadows's co-authors include Rebecca A. Johnson, J.S.J. Odendaal, Philip J. Johnson, Charles E. Wiedmeyer, Leah A. Cohn, P S MacWilliams, Colette Wagner‐Mann, F. A. Mann, Peter S. MacWilliams and Marie E. Kerl and has published in prestigious journals such as Experimental Gerontology, American Behavioral Scientist and Journal of the American Veterinary Medical Association.

In The Last Decade

Richard L. Meadows

16 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Richard L. Meadows 294 110 59 50 49 16 462
A. T. B. Edney 215 0.7× 220 2.0× 17 0.3× 34 0.7× 25 0.5× 19 485
Keren Bachi 182 0.6× 45 0.4× 14 0.2× 32 0.6× 10 0.2× 23 488
Isain Zapata 158 0.5× 73 0.7× 42 0.7× 10 0.2× 18 0.4× 61 485
Peter R. Messent 276 0.9× 63 0.6× 12 0.2× 51 1.0× 45 0.9× 16 549
Gregg Takashima 188 0.6× 212 1.9× 15 0.3× 56 1.1× 9 0.2× 12 492
R. Morrison 143 0.5× 112 1.0× 19 0.3× 14 0.3× 6 0.1× 16 458
JS Rand 225 0.8× 218 2.0× 92 1.6× 14 0.3× 24 0.5× 13 489
James A. Oxley 279 0.9× 115 1.0× 4 0.1× 74 1.5× 30 0.6× 51 444
Kersti Seksel 306 1.0× 245 2.2× 4 0.1× 117 2.3× 22 0.4× 18 416
Astrid Indrebø 242 0.8× 266 2.4× 7 0.1× 30 0.6× 6 0.1× 14 540

Countries citing papers authored by Richard L. Meadows

Since Specialization
Citations

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

Fields of papers citing papers by Richard L. Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard L. Meadows. 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 Richard L. Meadows. The network helps show where Richard L. Meadows may publish in the future.

Co-authorship network of co-authors of Richard L. Meadows

This figure shows the co-authorship network connecting the top 25 collaborators of Richard L. Meadows. A scholar is included among the top collaborators of Richard L. Meadows based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard L. Meadows. Richard L. Meadows is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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