Nicolas Béry

1.4k citations
28 papers · 942 · h-index 13

Impact in

    • Monoclonal and Polyclonal Antibodies Research
    • Protein Kinase Regulation and GTPase Signaling
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Melanoma and MAPK Pathways
    • PI3K/AKT/mTOR signaling in cancer

Papers in

Nicolas Béry

27 papers receiving 931 citations

Peers

Nicolas Béry
Comparison fields: 5 of 62
  • Radiology, Nuclear Medicine and Imaging 342
  • Molecular Biology 752
  • Oncology 205
  • Cell Biology 87
  • Biotechnology 41
Replace Lætitia Ligat with:
Lætitia Ligat France
Paul J. Mintz United States
Deanne M. Compaan United States
Rastislav Tamaskovic Switzerland
Shenlan Mao United States
Yuki Fujii Japan
Peter A. Hoyne Australia
Olivier Zwaenepoel Belgium
Isabel Van Audenhove Belgium
Lihui Xu United States
Nicolas Béry relative to Lætitia Ligat France Lætitia Ligat's profile →
Citations per field
00.5×1.5×2.2×
Lætitia Ligat · 1×
Citations per year

Countries citing papers authored by Nicolas Béry

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Béry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nicolas Béry, 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 Nicolas Béry Line = papers co-authored together Nicolas Béry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016230
2 2019102
3 201899
4 202083
5 201774
6 201966
7 202256
8 201845
9 201633
10 201932
11 201923
12 201121
13 201912
14 202111
15 202210
16 202410
17 201910
18 20216
19 20245
20 20215

About Nicolas Béry

Nicolas Béry is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cell Biology and Immunology, having authored 28 papers that have together received 942 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (5 papers), CAR-T cell therapy research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (342 citations), Molecular Biology (752 citations), Oncology (205 citations), Cell Biology (87 citations) and Biotechnology (41 citations). Nicolas Béry has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Terence H. Rabbitts, Ami Miller, Aurélien Olichon, Gilles Favre, Laura Keller, Lætitia Ligat, Ario de Marco, Carole J. R. Bataille, Angela J. Russell and Sandrine Moutel. Their work appears in journals such as Nature Communications, Antibodies, eLife, iScience and Cell Reports.

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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