Philippe Roche

59 papers receiving 1.9k citations

Peers

Philippe Roche
Comparison fields: 5 of 123
  • Computational Theory and Mathematics 383
  • Developmental Biology 43
  • Molecular Biology 1.1k
  • Polymers and Plastics 163
  • Organic Chemistry 229
Replace Ferenc Hudecz with:
Ferenc Hudecz Hungary
Sang‐Jun Park United States
Jinming Zhou China
Jon R. Appel United States
Maarten L. Hekkelman Netherlands
Viktor Krchňák United States
Melissa M. Kemp United States
Dongxia Wang China
Steven J. Metallo United States
Ping Yuan China
Philippe Roche relative to Ferenc Hudecz Hungary Ferenc Hudecz's profile →
Citations per field
00.5×8.0×
Ferenc Hudecz · 1×
Citations per year

Countries citing papers authored by Philippe Roche

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Roche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philippe Roche, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Roche Line = papers co-authored together Philippe Roche links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20219
4 20214
5 201911
6 201851
7 201820
8 20174
9 201731
10 201643
11 201656
12 201625
13
Heavy ions test result on a 65nm sparc-v8 radiation-hard microprocessor
20141
14 2011164
15 200533
16 200346
17 200255
18 200224
19
The common nodABC genes of Rhizobium meliloti are host-range determinants
19962
20 199651

About Philippe Roche

Philippe Roche is a scholar working on Computational Theory and Mathematics, Hardware and Architecture, Molecular Biology, Developmental Biology and Virology, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Chemical Synthesis and Analysis (10 papers), Click Chemistry and Applications (8 papers), Adrenal and Paraganglionic Tumors (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Protein Degradation and Inhibitors (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (383 citations), Developmental Biology (43 citations), Molecular Biology (1.1k citations), Polymers and Plastics (163 citations) and Organic Chemistry (229 citations). Philippe Roche has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Xavier Morelli, Raphaël Bourgeas, Yue Zhao, S. Betzi, Mario Leclerc, Véronique Hamon, Laurent Hoffer, Frédéric Debellé, Jean Dénarié and Sonia Longhi. Their work appears in journals such as Journal of Medicinal Chemistry, Nucleic Acids Research, Polymer, ACS Chemical Biology and European Journal of Medicinal Chemistry.

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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