Kathryn H. Svec

10 total papers · 410 total citations
9 papers, 328 citations indexed

About

Kathryn H. Svec is a scholar working on Epidemiology, Rheumatology and Immunology. According to data from OpenAlex, Kathryn H. Svec has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Rheumatology and 3 papers in Immunology. Recurrent topics in Kathryn H. Svec's work include Systemic Lupus Erythematosus Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Actinomycetales infections and treatment (1 paper). Kathryn H. Svec is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Actinomycetales infections and treatment (1 paper). Kathryn H. Svec collaborates with scholars based in United States. Kathryn H. Svec's co-authors include Melvin H. Kaplan, Bruce C. Veit, John H. Dingle, John D. Blair, Roland W. Moskowitz, Paul J. Vignos, S Katz and Steven M. Fink and has published in prestigious journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Kathryn H. Svec

9 papers receiving 260 citations

Author Peers

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

Author Last Decade Papers Cites
Kathryn H. Svec 109 101 79 67 53 9 328
Lisa Pompeo 144 1.3× 93 0.9× 39 0.5× 32 0.5× 16 0.3× 9 309
Vered Molina 88 0.8× 121 1.2× 33 0.4× 47 0.7× 24 0.5× 7 297
V. Ognenovski 139 1.3× 96 1.0× 86 1.1× 64 1.0× 13 0.2× 10 338
Isabela Goeldner 85 0.8× 174 1.7× 37 0.5× 34 0.5× 45 0.8× 18 312
Dan Wang 136 1.2× 75 0.7× 46 0.6× 35 0.5× 24 0.5× 10 261
J Dehais 161 1.5× 175 1.7× 31 0.4× 63 0.9× 48 0.9× 17 365
Koen M. J. Janssen 191 1.8× 68 0.7× 29 0.4× 20 0.3× 55 1.0× 11 353
J. Valverde 101 0.9× 40 0.4× 22 0.3× 70 1.0× 25 0.5× 12 339
Rosanna Abellar 68 0.6× 58 0.6× 109 1.4× 98 1.5× 28 0.5× 17 353
Susan Malkiel 119 1.1× 229 2.3× 28 0.4× 29 0.4× 49 0.9× 11 348

Countries citing papers authored by Kathryn H. Svec

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn H. Svec

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn H. Svec

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