Carole Puech

37 total papers · 460 total citations
17 papers, 366 citations indexed

About

Carole Puech is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Carole Puech has authored 17 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Carole Puech's work include Protein Tyrosine Phosphatases (10 papers), RNA modifications and cancer (6 papers) and Fermentation and Sensory Analysis (3 papers). Carole Puech is often cited by papers focused on Protein Tyrosine Phosphatases (10 papers), RNA modifications and cancer (6 papers) and Fermentation and Sensory Analysis (3 papers). Carole Puech collaborates with scholars based in France, Netherlands and Italy. Carole Puech's co-authors include Gilles Freiss, Françoise Vignon, Dany Chalbos, Guillaume Bompard, Murielle Glondu-Lassis, Chantal Escot, Christine Prébois, Henri Rochefort, Yong Zhao and Jean‐Philippe Peyrat and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Carole Puech

17 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Carole Puech 291 88 85 80 39 17 366
Zhengfa Mao 264 0.9× 103 1.2× 155 1.8× 93 1.2× 37 0.9× 22 423
Dongtao Fu 232 0.8× 53 0.6× 96 1.1× 158 2.0× 30 0.8× 16 403
Joanna Kwast‐Welfeld 280 1.0× 62 0.7× 64 0.8× 36 0.5× 83 2.1× 18 384
Tang Bu-jian 205 0.7× 52 0.6× 125 1.5× 120 1.5× 23 0.6× 15 385
Cécile Pierre‐Eugène 267 0.9× 60 0.7× 82 1.0× 99 1.2× 49 1.3× 17 426
M Kaufmann 240 0.8× 74 0.8× 141 1.7× 63 0.8× 73 1.9× 16 405
Shinsuke Araki 322 1.1× 75 0.9× 72 0.8× 59 0.7× 23 0.6× 22 424
M. Nakanishi 229 0.8× 81 0.9× 56 0.7× 39 0.5× 61 1.6× 18 376
Olivia Lanvin 242 0.8× 73 0.8× 99 1.2× 68 0.8× 116 3.0× 14 414
Vadym Kavsan 260 0.9× 84 1.0× 82 1.0× 46 0.6× 20 0.5× 14 338

Countries citing papers authored by Carole Puech

Since Specialization
Citations

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

Fields of papers citing papers by Carole Puech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carole Puech

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