Philip M. Leonard

36 total papers · 906 total citations
19 papers, 479 citations indexed

About

Philip M. Leonard is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Philip M. Leonard has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Genetics. Recurrent topics in Philip M. Leonard's work include Enzyme Structure and Function (4 papers), Biofuel production and bioconversion (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Philip M. Leonard is often cited by papers focused on Enzyme Structure and Function (4 papers), Biofuel production and bioconversion (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Philip M. Leonard collaborates with scholars based in United Kingdom, United States and Singapore. Philip M. Leonard's co-authors include Gideon Grogan, K. Ravi Acharya, L. W. Lawrence Woo, Surinder K. Chander, Gyles E. Cozier, Michael Reed, Barry V. L. Potter, Roland W. Bürli, Atul Purohit and Marieke Lamers and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Journal of Molecular Biology.

In The Last Decade

Philip M. Leonard

19 papers receiving 476 citations

Author Peers

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

Author						Papers	Cites
Philip M. Leonard	346	163	73	72	72	19	479
Laurel Hajec	390 1.1×	163 1.0×	55 0.8×	32 0.4×	28 0.4×	16	474
Joseph Yanchunas	235 0.7×	61 0.4×	64 0.9×	81 1.1×	78 1.1×	17	444
Jared B. Parker	411 1.2×	72 0.4×	58 0.8×	59 0.8×	43 0.6×	12	516
Clive G. Jackson	302 0.9×	116 0.7×	46 0.6×	25 0.3×	24 0.3×	16	469
Andrew F. Worrall	303 0.9×	75 0.5×	33 0.5×	44 0.6×	21 0.3×	20	448
David L. Burk	267 0.8×	37 0.2×	29 0.4×	51 0.7×	64 0.9×	17	415
Neil F. Sullivan	321 0.9×	222 1.4×	35 0.5×	47 0.7×	21 0.3×	21	479
Jukka V. Lehtonen	353 1.0×	35 0.2×	49 0.7×	49 0.7×	130 1.8×	15	483
Shyamala S. Rajan	259 0.7×	125 0.8×	128 1.8×	43 0.6×	81 1.1×	14	437
John T. Herberg	370 1.1×	36 0.2×	49 0.7×	34 0.5×	40 0.6×	19	493

Countries citing papers authored by Philip M. Leonard

Since Specialization

Citations

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

Fields of papers citing papers by Philip M. Leonard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip M. Leonard

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