C. P. Leblond

127 total papers · 13.0k total citations
86 papers, 10.5k citations indexed

About

C. P. Leblond is a scholar working on Molecular Biology, Physiology and Rheumatology. According to data from OpenAlex, C. P. Leblond has authored 86 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Physiology and 11 papers in Rheumatology. Recurrent topics in C. P. Leblond's work include Neurogenesis and neuroplasticity mechanisms (11 papers), Bone and Dental Protein Studies (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). C. P. Leblond is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (11 papers), Bone and Dental Protein Studies (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). C. P. Leblond collaborates with scholars based in Canada, France and United States. C. P. Leblond's co-authors include Y. Clermont, Shuji Mori, Melvyn Weinstock, Eng‐Ang Ling, Alain Privat, Marian R. Neutra, Jean A. Paterson, Kikuko Imamoto, Shiro Mori and G. Bennett and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

C. P. Leblond

85 papers receiving 9.7k citations

Hit Papers

DEFINITION OF THE STAGES ... 1952 2026 1976 2001 1952 1952 1966 1970 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
C. P. Leblond 4.0k 2.2k 1.5k 1.5k 1.5k 86 10.5k
R. Blake Pepinsky 6.7k 1.7× 633 0.3× 1.4k 0.9× 560 0.4× 1.6k 1.1× 138 11.9k
Heikki Rauvala 9.1k 2.3× 937 0.4× 774 0.5× 1.0k 0.7× 1.6k 1.1× 189 17.7k
Gordon Sato 8.5k 2.1× 405 0.2× 1.1k 0.7× 513 0.3× 1.9k 1.3× 139 15.2k
Herbert Fanger 5.0k 1.3× 561 0.3× 370 0.2× 508 0.3× 1.1k 0.8× 37 16.2k
Heiner Westphal 14.9k 3.7× 1.5k 0.7× 1.8k 1.2× 384 0.3× 5.8k 3.9× 153 22.5k
Minesuke Yokoyama 4.7k 1.2× 921 0.4× 378 0.2× 348 0.2× 1.9k 1.3× 92 8.9k
S M Hsu 5.1k 1.3× 497 0.2× 365 0.2× 468 0.3× 1.2k 0.8× 36 15.2k
Paul K. Nakane 5.2k 1.3× 709 0.3× 211 0.1× 446 0.3× 1.3k 0.9× 146 12.6k
Ludwig A. Sternberger 3.4k 0.8× 478 0.2× 503 0.3× 797 0.5× 615 0.4× 86 9.4k
Dieter Riethmacher 4.5k 1.1× 585 0.3× 1.1k 0.7× 318 0.2× 1.5k 1.0× 60 8.6k

Countries citing papers authored by C. P. Leblond

Since Specialization
Citations

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

Fields of papers citing papers by C. P. Leblond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. P. Leblond

This figure shows the co-authorship network connecting the top 25 collaborators of C. P. Leblond. A scholar is included among the top collaborators of C. P. Leblond 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 C. P. Leblond. C. P. Leblond 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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2026