H Richard-Foy

21 total papers · 1.1k total citations
14 papers, 900 citations indexed

About

H Richard-Foy is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, H Richard-Foy has authored 14 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in H Richard-Foy's work include Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). H Richard-Foy is often cited by papers focused on Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). H Richard-Foy collaborates with scholars based in France, United States and Germany. H Richard-Foy's co-authors include Gordon L. Hager, E.E. Baulieu, Christine Radanyi, Diana S. Berard, Michael C. Ostrowski, Gérard Redeuilh, Ronald G. Wolford, I. Joab, Jack‐Michel Renoir and Brigitte Couette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

H Richard-Foy

14 papers receiving 844 citations

Hit Papers

Sequence-specific positio... 1987 2026 2000 2013 1987 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
H Richard-Foy 649 386 165 99 89 14 900
Thierry Lerouge 629 1.0× 535 1.4× 222 1.3× 160 1.6× 114 1.3× 14 1.0k
Diana S. Berard 546 0.8× 407 1.1× 188 1.1× 72 0.7× 130 1.5× 13 813
Francis Stewart 585 0.9× 472 1.2× 143 0.9× 205 2.1× 114 1.3× 10 958
Paul Prendergast 550 0.8× 477 1.2× 203 1.2× 67 0.7× 121 1.4× 11 906
Maria-Grazia Catelli 814 1.3× 298 0.8× 146 0.9× 133 1.3× 62 0.7× 18 1.0k
Dennis Sakai 425 0.7× 484 1.3× 171 1.0× 197 2.0× 133 1.5× 17 887
Albert Fliss 670 1.0× 198 0.5× 179 1.1× 131 1.3× 44 0.5× 19 992
Margo Roberts 434 0.7× 375 1.0× 98 0.6× 24 0.2× 117 1.3× 9 721
Angelo M. Delegeane 730 1.1× 195 0.5× 330 2.0× 74 0.7× 131 1.5× 11 1.1k
Susan A. Leonhardt 367 0.6× 440 1.1× 218 1.3× 96 1.0× 93 1.0× 15 874

Countries citing papers authored by H Richard-Foy

Since Specialization
Citations

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

Fields of papers citing papers by H Richard-Foy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H Richard-Foy. 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 H Richard-Foy. The network helps show where H Richard-Foy may publish in the future.

Co-authorship network of co-authors of H Richard-Foy

This figure shows the co-authorship network connecting the top 25 collaborators of H Richard-Foy. A scholar is included among the top collaborators of H Richard-Foy 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 H Richard-Foy. H Richard-Foy 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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