Philippe Desjardins

38 total papers · 2.0k total citations
22 papers, 1.1k citations indexed

About

Philippe Desjardins is a scholar working on Molecular Biology, Neurology and Biochemistry. According to data from OpenAlex, Philippe Desjardins has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Neurology and 4 papers in Biochemistry. Recurrent topics in Philippe Desjardins's work include DNA and Nucleic Acid Chemistry (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and RNA and protein synthesis mechanisms (4 papers). Philippe Desjardins is often cited by papers focused on DNA and Nucleic Acid Chemistry (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers) and RNA and protein synthesis mechanisms (4 papers). Philippe Desjardins collaborates with scholars based in Canada, United States and Israel. Philippe Desjardins's co-authors include Sean R. Gallagher, M.S. Allen, James M. Burkman, Hansell H. Stedman, Joseph B. Shrager, Leonard T. Su, Jamal Meghrous, Christophe Lacroix, Haiyan Chen and Marilyn A. Mitchell and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Scientific Reports.

In The Last Decade

Philippe Desjardins

22 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Philippe Desjardins 618 212 99 90 84 22 1.1k
Kanika Jain 579 0.9× 233 1.1× 108 1.1× 43 0.5× 131 1.6× 44 1.3k
Carrie L. Seachord 494 0.8× 280 1.3× 52 0.5× 40 0.4× 55 0.7× 25 1.5k
Daniel Gygi 524 0.8× 226 1.1× 191 1.9× 227 2.5× 65 0.8× 20 1.3k
Kyung Ho Moon 551 0.9× 289 1.4× 25 0.3× 181 2.0× 76 0.9× 41 990
Liang Zhu 874 1.4× 147 0.7× 57 0.6× 28 0.3× 63 0.8× 47 1.4k
N. Hennrich 499 0.8× 73 0.3× 74 0.7× 29 0.3× 85 1.0× 19 1.1k
Romain Carcenac 524 0.8× 153 0.7× 33 0.3× 44 0.5× 67 0.8× 23 1.2k
Jules A. Westbrook 763 1.2× 75 0.4× 81 0.8× 31 0.3× 172 2.0× 18 1.4k
Giorgio Dell’Acqua 898 1.5× 170 0.8× 167 1.7× 26 0.3× 48 0.6× 27 1.4k
Ross Chapman 494 0.8× 75 0.4× 29 0.3× 75 0.8× 162 1.9× 14 1.2k

Countries citing papers authored by Philippe Desjardins

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Desjardins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Desjardins

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