Fabien Schweighoffer

2.6k total citations
44 papers, 2.1k citations indexed

About

Fabien Schweighoffer is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Fabien Schweighoffer has authored 44 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Physiology. Recurrent topics in Fabien Schweighoffer's work include Protein Kinase Regulation and GTPase Signaling (15 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and RNA Research and Splicing (6 papers). Fabien Schweighoffer is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (15 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and RNA Research and Splicing (6 papers). Fabien Schweighoffer collaborates with scholars based in France, United States and Spain. Fabien Schweighoffer's co-authors include Bruno Tocqué, Virginie Picard, Marc Duchesne, Channing J. Der, Cercina Onesto, Adam Shutes, Fabienne Parker, Bertrand Leblond, Florence Maurier and Isabelle Delumeau and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Fabien Schweighoffer

44 papers receiving 2.1k citations

Peers

Fabien Schweighoffer
Comparison fields: 5 of 94
  • Molecular Biology 1.6k
  • Cell Biology 395
  • Oncology 324
  • Physiology 231
  • Immunology 187
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N. Dhanasekaran United States
Roy Katso United Kingdom
Ingrid Verlaan Netherlands
Lesley K. Sinclair United States
Akiko Hayashi Japan
George Tokiwa United States
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Guofu Fang United States
Terukatsu Sasaki Japan
Sharon D. Morgenbesser United States
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Citations per field, relative to Fabien Schweighoffer
Fabien Schweighoffer · 1×
Citations per year, relative to Fabien Schweighoffer
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Countries citing papers authored by Fabien Schweighoffer

Since Specialization
Citations

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

Fields of papers citing papers by Fabien Schweighoffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabien Schweighoffer

This figure shows the co-authorship network connecting the top 25 collaborators of Fabien Schweighoffer. A scholar is included among the top collaborators of Fabien Schweighoffer 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 Fabien Schweighoffer. Fabien Schweighoffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 127
3 97
4 7
5 267
6 117
7 23
8 16
9 15
10 5
11 43
12 16
13
Intracellular expression of an antibody fragment-neutralizing p21 ras promotes tumor regression.
111
14 23
15 86
16 10
17 181
18 3
19 20
20 59

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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