Phillip H. McKee

530 total papers · 8.7k total citations
127 papers, 5.4k citations indexed

About

Phillip H. McKee is a scholar working on Dermatology, Oncology and Epidemiology. According to data from OpenAlex, Phillip H. McKee has authored 127 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Dermatology, 38 papers in Oncology and 35 papers in Epidemiology. Recurrent topics in Phillip H. McKee's work include Cancer and Skin Lesions (24 papers), Autoimmune Bullous Skin Diseases (18 papers) and Sarcoma Diagnosis and Treatment (17 papers). Phillip H. McKee is often cited by papers focused on Cancer and Skin Lesions (24 papers), Autoimmune Bullous Skin Diseases (18 papers) and Sarcoma Diagnosis and Treatment (17 papers). Phillip H. McKee collaborates with scholars based in United Kingdom, United States and Canada. Phillip H. McKee's co-authors include Christopher D.�M. Fletcher, Eduardo Calonje, Scott R. Granter, Martin M. Black, Neil Smith, Wolfram Goessling, Robert J. Mayer, Alexander J. Lazar, Wayne Grayson and Thomas Brenn and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and American Journal Of Pathology.

In The Last Decade

Phillip H. McKee

126 papers receiving 5.2k citations

Hit Papers

McKee's pathology of the ... 2012 2026 2016 2021 2012 25 50 75 100

Author Peers

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

Author Last Decade Papers Cites
Phillip H. McKee 2.0k 2.0k 1.3k 1.3k 1.3k 127 5.4k
Walter H. C. Burgdorf 1.3k 0.6× 1.6k 0.8× 1.0k 0.8× 843 0.6× 865 0.7× 173 5.2k
Janine Wechsler 2.2k 1.1× 3.3k 1.7× 1.9k 1.4× 2.9k 2.2× 1.4k 1.1× 191 7.7k
Luís Requena 2.0k 1.0× 3.3k 1.7× 1.5k 1.1× 1.3k 1.0× 790 0.6× 369 6.2k
Ronald J. Barr 1.3k 0.6× 1.6k 0.8× 998 0.8× 776 0.6× 539 0.4× 153 3.7k
Arno Rütten 1.5k 0.8× 1.7k 0.8× 898 0.7× 1.3k 1.0× 342 0.3× 135 3.9k
José Luis Rodríguez‐­Peralto 1.5k 0.7× 1.2k 0.6× 998 0.8× 1.0k 0.8× 602 0.5× 317 4.8k
Lawrence E. Gibson 702 0.3× 2.1k 1.1× 2.2k 1.6× 2.1k 1.6× 1.7k 1.3× 192 6.2k
Omar P. Sangüeza 1.6k 0.8× 1.6k 0.8× 893 0.7× 941 0.7× 587 0.5× 199 3.9k
Dmitry V. Kazakov 2.0k 1.0× 3.2k 1.6× 1.5k 1.1× 1.7k 1.3× 950 0.7× 322 5.4k
Philip H. Cooper 2.0k 1.0× 1.2k 0.6× 1.4k 1.1× 887 0.7× 718 0.6× 103 5.1k

Countries citing papers authored by Phillip H. McKee

Since Specialization
Citations

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

Fields of papers citing papers by Phillip H. McKee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip H. McKee

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