Gina P. Kwon

24 total papers · 421 total citations
11 papers, 282 citations indexed

About

Gina P. Kwon is a scholar working on Dermatology, Molecular Biology and Genetics. According to data from OpenAlex, Gina P. Kwon has authored 11 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Dermatology, 4 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Gina P. Kwon's work include Hedgehog Signaling Pathway Studies (3 papers), Contact Dermatitis and Allergies (2 papers) and Cancer and Skin Lesions (2 papers). Gina P. Kwon is often cited by papers focused on Hedgehog Signaling Pathway Studies (3 papers), Contact Dermatitis and Allergies (2 papers) and Cancer and Skin Lesions (2 papers). Gina P. Kwon collaborates with scholars based in United States, Brazil and Canada. Gina P. Kwon's co-authors include Cynthia L. Grosskreutz, Wei Huang, Adam Dobberfuhl, John B. Fileta, Marcelo Amar, Alan T. Remaley, Robert S. Balaban, Jamie Schroeder, Yan Guo and Theodoros Filippopoulos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Gina P. Kwon

11 papers receiving 275 citations

Author Peers

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

Author Last Decade Papers Cites
Gina P. Kwon 142 80 43 37 36 11 282
Leo Sheck 160 1.1× 145 1.8× 14 0.3× 7 0.2× 27 0.8× 13 268
P W Sellar 137 1.0× 97 1.2× 17 0.4× 22 0.6× 15 0.4× 9 242
Nikolaos E. Efstathiou 157 1.1× 77 1.0× 5 0.1× 50 1.4× 32 0.9× 12 278
Michael O’Hare 86 0.6× 86 1.1× 6 0.1× 26 0.7× 32 0.9× 16 224
Julie Schaub 141 1.0× 157 2.0× 5 0.1× 52 1.4× 18 0.5× 19 330
Karis Little 95 0.7× 146 1.8× 6 0.1× 42 1.1× 15 0.4× 12 296
Sihan Wu 72 0.5× 51 0.6× 13 0.3× 130 3.5× 41 1.1× 12 293
Haraldur Sigurðsson 63 0.4× 235 2.9× 22 0.5× 7 0.2× 33 0.9× 13 303
Ankit Patel 107 0.8× 129 1.6× 18 0.4× 7 0.2× 12 0.3× 18 303
Philippe Fonteyne 110 0.8× 52 0.7× 10 0.2× 19 0.5× 17 0.5× 19 314

Countries citing papers authored by Gina P. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Gina P. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina P. Kwon

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