Karin Muth Beale

30 total papers · 530 total citations
23 papers, 369 citations indexed

About

Karin Muth Beale is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Karin Muth Beale has authored 23 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Epidemiology. Recurrent topics in Karin Muth Beale's work include Thyroid Disorders and Treatments (7 papers), Veterinary Oncology Research (6 papers) and Blood groups and transfusion (5 papers). Karin Muth Beale is often cited by papers focused on Thyroid Disorders and Treatments (7 papers), Veterinary Oncology Research (6 papers) and Blood groups and transfusion (5 papers). Karin Muth Beale collaborates with scholars based in United States, Russia and United Kingdom. Karin Muth Beale's co-authors include Daniel O. Morris, Gail A. Kunkle, R.E.W. Halliwell, Brad Bolon, Linda A. Frank, David M. Pinson, Valerie A. Fadok, John E. Bauer, Frédéric Gaschen and James P. Thompson and has published in prestigious journals such as Journal of the American Veterinary Medical Association, American Journal of Veterinary Research and Veterinary Clinics of North America Small Animal Practice.

In The Last Decade

Karin Muth Beale

23 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Karin Muth Beale 105 77 76 67 57 23 369
Scott Dw 63 0.6× 20 0.3× 75 1.0× 80 1.2× 46 0.8× 38 385
Katarina Tengvall 79 0.8× 38 0.5× 31 0.4× 44 0.7× 76 1.3× 22 378
S. L. Martin 75 0.7× 151 2.0× 61 0.8× 51 0.8× 36 0.6× 15 384
P. E. McNeil 113 1.1× 11 0.1× 85 1.1× 149 2.2× 53 0.9× 34 445
Marcel Kovalik 74 0.7× 22 0.3× 130 1.7× 62 0.9× 218 3.8× 18 420
C. W. Kohn 80 0.8× 35 0.5× 50 0.7× 30 0.4× 11 0.2× 21 411
Eleanor Raffan 131 1.2× 12 0.2× 49 0.6× 25 0.4× 24 0.4× 20 356
Masashi Yuki 116 1.1× 20 0.3× 57 0.8× 98 1.5× 4 0.1× 40 341
John A. Arkins 25 0.2× 15 0.2× 19 0.3× 127 1.9× 31 0.5× 22 409
Iveta Bečvářová 206 2.0× 29 0.4× 27 0.4× 48 0.7× 13 0.2× 18 418

Countries citing papers authored by Karin Muth Beale

Since Specialization
Citations

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

Fields of papers citing papers by Karin Muth Beale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin Muth Beale. 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 Karin Muth Beale. The network helps show where Karin Muth Beale may publish in the future.

Co-authorship network of co-authors of Karin Muth Beale

This figure shows the co-authorship network connecting the top 25 collaborators of Karin Muth Beale. A scholar is included among the top collaborators of Karin Muth Beale 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 Karin Muth Beale. Karin Muth Beale 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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