Victoria King

69 total papers · 5.0k total citations
38 papers, 1.7k citations indexed

About

Victoria King is a scholar working on Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Victoria King has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Victoria King's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Atherosclerosis and Cardiovascular Diseases (6 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Victoria King is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Atherosclerosis and Cardiovascular Diseases (6 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Victoria King collaborates with scholars based in United States, Australia and New Zealand. Victoria King's co-authors include Alan Daugherty, Lisa A. Cassis, Lisa R. Tannock, Stephen J. Szilvassy, Razvan Arsenescu, Violeta Arsenescu, Hollie I. Swanson, Kate L. J. Ellacott, Alyssa H. Hasty and Arion Kennedy and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Victoria King

37 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Victoria King	483	429	378	324	319	38	1.7k
Marion Sallée	414 0.9×	191 0.4×	508 1.3×	175 0.5×	263 0.8×	35	2.0k
Jason Hellmann	505 1.0×	487 1.1×	520 1.4×	94 0.3×	326 1.0×	31	2.3k
Doraid Jarrar	554 1.1×	492 1.1×	325 0.9×	286 0.9×	191 0.6×	43	1.7k
Matheus Corrêa-Costa	344 0.7×	203 0.5×	988 2.6×	210 0.6×	338 1.1×	30	2.0k
Mateusz Siedliński	235 0.5×	174 0.4×	455 1.2×	308 1.0×	140 0.4×	49	1.5k
Ryon M. Bateman	223 0.5×	602 1.4×	397 1.1×	243 0.8×	393 1.2×	24	2.0k
Brian B. Ratliff	218 0.5×	181 0.4×	792 2.1×	210 0.6×	239 0.7×	43	2.0k
Chiara Stranieri	222 0.5×	235 0.5×	523 1.4×	185 0.6×	301 0.9×	52	1.9k
Natalie Khuseyinova	594 1.2×	669 1.6×	308 0.8×	148 0.5×	610 1.9×	29	2.1k
Gang Jee Ko	195 0.4×	311 0.7×	384 1.0×	167 0.5×	333 1.0×	67	1.9k

Countries citing papers authored by Victoria King

Since Specialization

Citations

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

Fields of papers citing papers by Victoria King

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria King

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