Philippe De La Rochère

17 total papers · 1.1k total citations
7 papers, 474 citations indexed

About

Philippe De La Rochère is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Philippe De La Rochère has authored 7 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Philippe De La Rochère's work include Glycosylation and Glycoproteins Research (2 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). Philippe De La Rochère is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). Philippe De La Rochère collaborates with scholars based in France, Spain and Uruguay. Philippe De La Rochère's co-authors include Eliane Piaggio, Sukhvinder Sidhu, Silvia Guil‐Luna, Didier Decaudin, Georges A. Azar, Dominique Bonnet, Florence Bardin, Jacques Vargaftig, Klaudia Kuranda and Michèle Goodhardt and has published in prestigious journals such as Trends in Immunology, Vaccine and Aging Cell.

In The Last Decade

Philippe De La Rochère

7 papers receiving 466 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 De La Rochère 204 202 148 77 76 7 474
Dagny Von Ahrens 232 1.1× 123 0.6× 219 1.5× 112 1.5× 95 1.3× 10 492
Chakradhar Yakkala 153 0.8× 288 1.4× 114 0.8× 37 0.5× 89 1.2× 10 505
Maria Corallo 300 1.5× 105 0.5× 181 1.2× 83 1.1× 25 0.3× 11 454
Eric H. Bent 165 0.8× 195 1.0× 250 1.7× 45 0.6× 20 0.3× 10 518
John B. Beard 110 0.5× 167 0.8× 301 2.0× 63 0.8× 31 0.4× 8 512
Katharina M. Brauer 216 1.1× 231 1.1× 217 1.5× 55 0.7× 116 1.5× 10 546
Adrija Kalviša 275 1.3× 167 0.8× 150 1.0× 59 0.8× 24 0.3× 9 495
Ran Afik 201 1.0× 228 1.1× 141 1.0× 70 0.9× 29 0.4× 9 446
Su Ming Hsu 171 0.8× 157 0.8× 116 0.8× 137 1.8× 53 0.7× 10 444
Ines A. Silva 355 1.7× 121 0.6× 258 1.7× 144 1.9× 47 0.6× 6 537

Countries citing papers authored by Philippe De La Rochère

Since Specialization
Citations

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

Fields of papers citing papers by Philippe De La Rochère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe De La Rochère

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