Kaitlyn Brown

59 total papers · 847 total citations
22 papers, 425 citations indexed

About

Kaitlyn Brown is a scholar working on Surgery, Emergency Medicine and Pharmacology. According to data from OpenAlex, Kaitlyn Brown has authored 22 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Emergency Medicine and 3 papers in Pharmacology. Recurrent topics in Kaitlyn Brown's work include Poisoning and overdose treatments (5 papers), Scoliosis diagnosis and treatment (4 papers) and Plant-based Medicinal Research (3 papers). Kaitlyn Brown is often cited by papers focused on Poisoning and overdose treatments (5 papers), Scoliosis diagnosis and treatment (4 papers) and Plant-based Medicinal Research (3 papers). Kaitlyn Brown collaborates with scholars based in United States, Canada and Australia. Kaitlyn Brown's co-authors include Ryan Feldman, James B. Mowry, Alvin C. Bronstein, Michael C. Beuhler, Daniel A. Spyker, David D. Gummin, Nicole Kozloff, Jeremy Grimshaw, Amy Cheung and Alain Mayhew and has published in prestigious journals such as Journal of Applied Ecology, Ecological Modelling and Genetics in Medicine.

In The Last Decade

Kaitlyn Brown

20 papers receiving 408 citations

Hit Papers

2021 Annual Report of the... 2022 2026 2023 2024 2022 2023 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Kaitlyn Brown 116 92 63 45 44 22 425
J. Preuß 96 0.8× 46 0.5× 65 1.0× 58 1.3× 20 0.5× 35 435
A F Dove 141 1.2× 126 1.4× 27 0.4× 28 0.6× 42 1.0× 20 371
Francis DeRoos 86 0.7× 28 0.3× 77 1.2× 63 1.4× 19 0.4× 13 447
Rita Mrvos 149 1.3× 42 0.5× 61 1.0× 17 0.4× 57 1.3× 44 369
Oliver L. Hung 88 0.8× 83 0.9× 75 1.2× 150 3.3× 10 0.2× 21 488
Cem Zeren 61 0.5× 29 0.3× 25 0.4× 69 1.5× 30 0.7× 37 403
Robert J. Lipsy 42 0.4× 66 0.7× 42 0.7× 22 0.5× 17 0.4× 19 396
E. Pérez 34 0.3× 34 0.4× 37 0.6× 32 0.7× 139 3.2× 24 437
Peter Akpunonu 116 1.0× 25 0.3× 189 3.0× 12 0.3× 19 0.4× 24 425
Paul A. Palmisano 129 1.1× 19 0.2× 99 1.6× 17 0.4× 64 1.5× 23 445

Countries citing papers authored by Kaitlyn Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlyn Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlyn Brown. 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 Kaitlyn Brown. The network helps show where Kaitlyn Brown may publish in the future.

Co-authorship network of co-authors of Kaitlyn Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kaitlyn Brown. A scholar is included among the top collaborators of Kaitlyn Brown 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 Kaitlyn Brown. Kaitlyn Brown 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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