Kathryn P. Moore

22 total papers · 458 total citations
16 papers, 318 citations indexed

About

Kathryn P. Moore is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Kathryn P. Moore has authored 16 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Kathryn P. Moore's work include Diabetic Foot Ulcer Assessment and Management (5 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Peripheral Artery Disease Management (4 papers). Kathryn P. Moore is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (5 papers), Prosthetics and Rehabilitation Robotics (4 papers) and Peripheral Artery Disease Management (4 papers). Kathryn P. Moore collaborates with scholars based in United States and Switzerland. Kathryn P. Moore's co-authors include Edward J. Boyko, Nicholas L. Smith, James S. Floyd, Christopher W. Forsberg, Mary Lou Thompson, Marc Blondon, Joseph M. Czerniecki, Gregory J. Landry, Alyson J. Littman and Daniel C. Norvell and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetologia.

In The Last Decade

Kathryn P. Moore

14 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Kathryn P. Moore	206	78	57	51	48	16	318
E Briones	132 0.6×	102 1.3×	28 0.5×	17 0.3×	60 1.3×	11	361
Harald Kritz	65 0.3×	67 0.9×	43 0.8×	7 0.1×	74 1.5×	17	345
Roberto Polignano	58 0.3×	160 2.1×	46 0.8×	124 2.4×	20 0.4×	15	308
Hassan Masoudpour	54 0.3×	133 1.7×	30 0.5×	28 0.5×	77 1.6×	21	346
Xiaolin Li	78 0.4×	41 0.5×	66 1.2×	12 0.2×	73 1.5×	19	321
Mohammad A. Siddiqui	148 0.7×	26 0.3×	14 0.2×	16 0.3×	199 4.1×	9	346
Murray Leikis	27 0.1×	61 0.8×	58 1.0×	35 0.7×	34 0.7×	15	286
Donna Shu‐Han Lin	190 0.9×	78 1.0×	55 1.0×	10 0.2×	82 1.7×	26	292
Vincenzo Di Donna	157 0.8×	110 1.4×	36 0.6×	10 0.2×	12 0.3×	15	344
Ana Palanca	99 0.5×	151 1.9×	21 0.4×	16 0.3×	55 1.1×	16	295

Countries citing papers authored by Kathryn P. Moore

Since Specialization

Citations

This map shows the geographic impact of Kathryn 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 Kathryn 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 Kathryn P. Moore more than expected).

Fields of papers citing papers by Kathryn P. Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn P. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn P. Moore. A scholar is included among the top collaborators of Kathryn P. Moore 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 Kathryn P. Moore. Kathryn P. Moore 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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