Kathryn S. Sutton

45 total papers · 516 total citations
23 papers, 359 citations indexed

About

Kathryn S. Sutton is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Kathryn S. Sutton has authored 23 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Oncology. Recurrent topics in Kathryn S. Sutton's work include Musculoskeletal pain and rehabilitation (6 papers), Renal and related cancers (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers). Kathryn S. Sutton is often cited by papers focused on Musculoskeletal pain and rehabilitation (6 papers), Renal and related cancers (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (5 papers). Kathryn S. Sutton collaborates with scholars based in United States, Canada and United Kingdom. Kathryn S. Sutton's co-authors include Gregg Moor, Lise Dassieu, Maria Hudspith, M. Gabrielle Pagé, James M. Thompson, Anaïs Lacasse, Manon Choinière, H. Trent Spencer, Christopher B. Doering and Nadia Sourial and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Annals of Surgery.

In The Last Decade

Kathryn S. Sutton

22 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Kathryn S. Sutton	84	72	56	49	49	23	359
Kathrin Gerbershagen	62 0.7×	49 0.7×	26 0.5×	14 0.3×	16 0.3×	19	311
Maria E. C. Schelin	49 0.6×	74 1.0×	40 0.7×	19 0.4×	57 1.2×	31	300
Kim Klein	22 0.3×	78 1.1×	32 0.6×	13 0.3×	23 0.5×	29	393
Guttorm Raknes	36 0.4×	18 0.3×	25 0.4×	86 1.8×	36 0.7×	34	391
Christina Rosebush	51 0.6×	28 0.4×	42 0.8×	13 0.3×	48 1.0×	24	358
Bogdana Adriana Năsui	17 0.2×	68 0.9×	32 0.6×	13 0.3×	23 0.5×	28	401
Ben Turner	13 0.2×	49 0.7×	50 0.9×	18 0.4×	44 0.9×	20	402
Thiago Afonso Teixeira	15 0.2×	54 0.8×	25 0.4×	23 0.5×	24 0.5×	33	306
Julia Woo	19 0.2×	138 1.9×	66 1.2×	27 0.6×	61 1.2×	16	398
Ignacio Méndez	159 1.9×	93 1.3×	13 0.2×	10 0.2×	38 0.8×	30	393

Countries citing papers authored by Kathryn S. Sutton

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn S. Sutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn S. Sutton

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