Brandon C. Yarns

68 total papers · 799 total citations
30 papers, 464 citations indexed

About

Brandon C. Yarns is a scholar working on Pharmacology, Psychiatry and Mental health and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Brandon C. Yarns has authored 30 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 11 papers in Psychiatry and Mental health and 6 papers in Neuropsychology and Physiological Psychology. Recurrent topics in Brandon C. Yarns's work include Musculoskeletal pain and rehabilitation (9 papers), Aging and Gerontology Research (6 papers) and Psychosomatic Disorders and Their Treatments (4 papers). Brandon C. Yarns is often cited by papers focused on Musculoskeletal pain and rehabilitation (9 papers), Aging and Gerontology Research (6 papers) and Psychosomatic Disorders and Their Treatments (4 papers). Brandon C. Yarns collaborates with scholars based in United States, Canada and Saudi Arabia. Brandon C. Yarns's co-authors include Daniel D. Sewell, Janet M. Abrams, Thomas W. Meeks, Rebecca J. Melrose, David L. Sultzer, Mark A. Lumley, Howard Schubiner, Amy M. Jimenez, Kelsey A. Holiday and Sheryl Osato and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Psychiatry and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Brandon C. Yarns

26 papers receiving 454 citations

Author Peers

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

Author Last Decade Papers Cites
Brandon C. Yarns 156 123 112 94 48 30 464
Karen E. Kelly 118 0.8× 125 1.0× 94 0.8× 126 1.3× 88 1.8× 14 523
Irene Shyu 108 0.7× 66 0.5× 94 0.8× 158 1.7× 58 1.2× 17 522
Tayla McCloud 81 0.5× 161 1.3× 127 1.1× 137 1.5× 110 2.3× 19 529
Isolde Daig 105 0.7× 42 0.3× 68 0.6× 137 1.5× 83 1.7× 31 492
Eleanor Feldman 85 0.5× 72 0.6× 220 2.0× 124 1.3× 44 0.9× 20 528
Toshimasa Maruta 78 0.5× 56 0.5× 68 0.6× 128 1.4× 76 1.6× 21 469
Judith A. Callan 99 0.6× 95 0.8× 81 0.7× 115 1.2× 78 1.6× 27 426
V. Henkel 146 0.9× 44 0.4× 91 0.8× 137 1.5× 96 2.0× 17 475
Marta Puebla‐Guedea 72 0.5× 124 1.0× 163 1.5× 261 2.8× 71 1.5× 21 549
Sílvia Franco 87 0.6× 58 0.5× 79 0.7× 257 2.7× 36 0.8× 18 490

Countries citing papers authored by Brandon C. Yarns

Since Specialization
Citations

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

Fields of papers citing papers by Brandon C. Yarns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon C. Yarns. 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 Brandon C. Yarns. The network helps show where Brandon C. Yarns may publish in the future.

Co-authorship network of co-authors of Brandon C. Yarns

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon C. Yarns. A scholar is included among the top collaborators of Brandon C. Yarns 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 Brandon C. Yarns. Brandon C. Yarns 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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