P. G. McKenna

79 total papers · 1.2k total citations
40 papers, 1.0k citations indexed

About

P. G. McKenna is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, P. G. McKenna has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in P. G. McKenna's work include DNA Repair Mechanisms (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Nutritional Studies and Diet (5 papers). P. G. McKenna is often cited by papers focused on DNA Repair Mechanisms (10 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Nutritional Studies and Diet (5 papers). P. G. McKenna collaborates with scholars based in United Kingdom, United States and Australia. P. G. McKenna's co-authors include M. Barbara E. Livingstone, JJ Strain, W. A. Coward, Margo E. Barker, R. G. Whitehead, A. Black, Andrew M. Prentice, Yvonne Barnett, Akeel Abed Yasseen and Valerie J. McKelvey‐Martin and has published in prestigious journals such as British Journal of Cancer, Cellular and Molecular Life Sciences and British Journal Of Nutrition.

In The Last Decade

P. G. McKenna

40 papers receiving 958 citations

Author Peers

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

Author Last Decade Papers Cites
P. G. McKenna 401 285 246 111 109 40 1.0k
Johnson Rk 270 0.7× 241 0.8× 321 1.3× 308 2.8× 49 0.4× 33 1.1k
Huifang Liang 280 0.7× 106 0.4× 256 1.0× 117 1.1× 73 0.7× 46 1.2k
Laura Ortinau 237 0.6× 322 1.1× 187 0.8× 58 0.5× 35 0.3× 31 852
Shinsuke Mizutani 153 0.4× 210 0.7× 215 0.9× 115 1.0× 52 0.5× 52 1.1k
Catherine Rolland 288 0.7× 375 1.3× 70 0.3× 103 0.9× 34 0.3× 41 979
Mie Shiraishi 380 0.9× 100 0.4× 307 1.2× 220 2.0× 113 1.0× 62 1.2k
Mladen Golubić 131 0.3× 163 0.6× 320 1.3× 65 0.6× 39 0.4× 40 1.1k
Katayoon Bidad 166 0.4× 265 0.9× 216 0.9× 41 0.4× 59 0.5× 41 932
Ilias Migdalis 217 0.5× 227 0.8× 146 0.6× 75 0.7× 62 0.6× 50 1.1k
Fang Ma 268 0.7× 238 0.8× 308 1.3× 74 0.7× 48 0.4× 65 1.2k

Countries citing papers authored by P. G. McKenna

Since Specialization
Citations

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

Fields of papers citing papers by P. G. McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. G. McKenna

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