Philip Redpath

23 total papers · 3.6k total citations
17 papers, 2.6k citations indexed

About

Philip Redpath is a scholar working on Geriatrics and Gerontology, Molecular Biology and Physiology. According to data from OpenAlex, Philip Redpath has authored 17 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geriatrics and Gerontology, 8 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Philip Redpath's work include Sirtuins and Resveratrol in Medicine (9 papers), Calcium signaling and nucleotide metabolism (7 papers) and PARP inhibition in cancer therapy (5 papers). Philip Redpath is often cited by papers focused on Sirtuins and Resveratrol in Medicine (9 papers), Calcium signaling and nucleotide metabolism (7 papers) and PARP inhibition in cancer therapy (5 papers). Philip Redpath collaborates with scholars based in United Kingdom, United States and China. Philip Redpath's co-authors include Marie E. Migaud, Charles Brenner, Samuel A.J. Trammell, Ryan W. Dellinger, Liana R. Stein, Alessia Grozio, Joseph A. Baur, Jun Yoshino, Shunsuke Kubota and Kôji Uchida and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cell Metabolism.

In The Last Decade

Philip Redpath

17 papers receiving 2.6k citations

Hit Papers

Long-Term Administration ... 2016 2026 2019 2022 2016 2016 2018 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Philip Redpath 1.4k 979 908 818 552 17 2.6k
Alessia Grozio 1.1k 0.8× 1.1k 1.1× 790 0.9× 533 0.7× 527 1.0× 29 2.8k
Samuel A.J. Trammell 952 0.7× 753 0.8× 648 0.7× 632 0.8× 474 0.9× 31 2.2k
Tianle Yang 1.3k 0.9× 850 0.9× 451 0.5× 447 0.5× 744 1.3× 11 2.2k
Claudia C.S. Chini 1.1k 0.8× 1.1k 1.1× 1.0k 1.1× 639 0.8× 609 1.1× 40 3.0k
Kathryn F. Mills 1.9k 1.4× 1.2k 1.2× 897 1.0× 780 1.0× 1.3k 2.3× 11 3.8k
Christian Dölle 799 0.6× 1.4k 1.4× 672 0.7× 641 0.8× 324 0.6× 35 2.8k
Yana Cen 1.9k 1.4× 1.6k 1.6× 795 0.9× 920 1.1× 1.2k 2.1× 44 3.8k
Luis A. Rajman 729 0.5× 1.0k 1.0× 360 0.4× 345 0.4× 553 1.0× 9 2.1k
Elisabeth Berber 1.4k 1.0× 1.1k 1.2× 325 0.4× 353 0.4× 832 1.5× 8 2.6k
Basil P. Hubbard 1.2k 0.9× 2.0k 2.0× 332 0.4× 603 0.7× 911 1.7× 39 4.0k

Countries citing papers authored by Philip Redpath

Since Specialization
Citations

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

Fields of papers citing papers by Philip Redpath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Redpath

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