Philip J. MacKinnon

17 total papers · 616 total citations
10 papers, 486 citations indexed

About

Philip J. MacKinnon is a scholar working on Molecular Biology, Education and Urology. According to data from OpenAlex, Philip J. MacKinnon has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Education and 2 papers in Urology. Recurrent topics in Philip J. MacKinnon's work include Telomeres, Telomerase, and Senescence (2 papers), Hair Growth and Disorders (2 papers) and Interdisciplinary Research and Collaboration (2 papers). Philip J. MacKinnon is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Hair Growth and Disorders (2 papers) and Interdisciplinary Research and Collaboration (2 papers). Philip J. MacKinnon collaborates with scholars based in Australia, United Kingdom and India. Philip J. MacKinnon's co-authors include Melanie J. Dobson, William R. Brown, Alfredo Villasanté, Nigel K. Spurr, Veronica J. Buckle, Barry C. Powell, G.E. Rogers, Dawn Bennett, Sarah Richardson and Ross Barnard and has published in prestigious journals such as Cell, The Journal of Cell Biology and Journal of Cell Science.

In The Last Decade

Philip J. MacKinnon

10 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Philip J. MacKinnon	287	141	139	104	74	10	486
Anthony P. DeFeo	424 1.5×	34 0.2×	26 0.2×	162 1.6×	99 1.3×	11	533
Flavia A. Wald	248 0.9×	18 0.1×	39 0.3×	43 0.4×	190 2.6×	15	407
Christopher P. Schonbaum	294 1.0×	22 0.2×	24 0.2×	147 1.4×	95 1.3×	8	501
Lara K. Goudsouzian	423 1.5×	97 0.7×	77 0.6×	58 0.6×	54 0.7×	11	459
C.M.L.J. Tilli	231 0.8×	22 0.2×	58 0.4×	36 0.3×	104 1.4×	6	456
Yanru Chen-Tsai	418 1.5×	27 0.2×	18 0.1×	207 2.0×	57 0.8×	9	543
Mina Kojima	393 1.4×	24 0.2×	51 0.4×	59 0.6×	44 0.6×	10	526
Rosalind Yanishevsky	416 1.4×	267 1.9×	49 0.4×	80 0.8×	36 0.5×	9	536
Alistair R. McNab	230 0.8×	56 0.4×	21 0.2×	86 0.8×	93 1.3×	13	517
Sakthikumar Ambady	242 0.8×	17 0.1×	85 0.6×	160 1.5×	26 0.4×	20	424

Countries citing papers authored by Philip J. MacKinnon

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. MacKinnon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. MacKinnon. 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 Philip J. MacKinnon. The network helps show where Philip J. MacKinnon may publish in the future.

Co-authorship network of co-authors of Philip J. MacKinnon

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. MacKinnon. A scholar is included among the top collaborators of Philip J. MacKinnon 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 Philip J. MacKinnon. Philip J. MacKinnon 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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