Gina M. Kavanagh

17 total papers · 552 total citations
10 papers, 338 citations indexed

About

Gina M. Kavanagh is a scholar working on Dermatology, Epidemiology and Oncology. According to data from OpenAlex, Gina M. Kavanagh has authored 10 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Dermatology, 5 papers in Epidemiology and 4 papers in Oncology. Recurrent topics in Gina M. Kavanagh's work include Lymphoma Diagnosis and Treatment (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Gina M. Kavanagh is often cited by papers focused on Lymphoma Diagnosis and Treatment (2 papers), Nonmelanoma Skin Cancer Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Gina M. Kavanagh collaborates with scholars based in United Kingdom and Australia. Gina M. Kavanagh's co-authors include A S Krajewski, H.H. Lucraft, Paul Batstone, John R. Goodlad, Pam McKay, Emma Benton, Rona M. MacKie, Cameron Kennedy, A. David Burden and James Connor and has published in prestigious journals such as The American Journal of Surgical Pathology, Journal of the American Academy of Dermatology and Carcinogenesis.

In The Last Decade

Gina M. Kavanagh

10 papers receiving 328 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 M. Kavanagh 173 171 120 112 78 10 338
Debra Mikkola 165 1.0× 146 0.9× 96 0.8× 93 0.8× 119 1.5× 10 350
Julie C. Porcher 99 0.6× 213 1.2× 38 0.3× 125 1.1× 106 1.4× 13 397
Stephen Brady 75 0.4× 69 0.4× 49 0.4× 153 1.4× 123 1.6× 7 397
Günther Burg 87 0.5× 218 1.3× 41 0.3× 185 1.7× 54 0.7× 12 342
Walther M. Pfeifer 98 0.6× 167 1.0× 50 0.4× 74 0.7× 123 1.6× 9 313
Wing C. Chan 91 0.5× 191 1.1× 45 0.4× 141 1.3× 47 0.6× 10 350
Mohamed Rahal 165 1.0× 121 0.7× 142 1.2× 168 1.5× 53 0.7× 10 372
A. Appino 190 1.1× 92 0.5× 65 0.5× 82 0.7× 40 0.5× 14 311
S J Diaz‐Cano 48 0.3× 104 0.6× 43 0.4× 77 0.7× 112 1.4× 8 363
L. Burke 46 0.3× 177 1.0× 79 0.7× 44 0.4× 66 0.8× 11 372

Countries citing papers authored by Gina M. Kavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Gina M. Kavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gina M. Kavanagh

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