Benoit Fischer

1.4k citations
9 papers · 303 · h-index 8

Impact in

    • RNA Research and Splicing
    • Nuclear Structure and Function
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer

Papers in

    • Ubiquitin and proteasome pathways 3
    • Nuclear Structure and Function 2
    • DNA Repair Mechanisms 2
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2
    • Cancer-related Molecular Pathways 2

Benoit Fischer

8 papers receiving 303 citations

Peers

Benoit Fischer
Comparison fields: 5 of 50
  • Drug Discovery 1
  • Molecular Biology 268
  • Cell Biology 45
  • Oncology 70
  • Aging 3
Replace Ka Yim Chan-Salis with:
Ka Yim Chan-Salis United States
Daphne Lelieveld Netherlands
Christine Le Bec France
Patrick Schreiner Germany
Papia Ghosh United States
Isabelle Gasnereau France
Alberto Gatto France
Habib Bouguenina United Kingdom
Valéria Szukacsov Hungary
Lisa Bamber United Kingdom
Benoit Fischer relative to Ka Yim Chan-Salis United States Ka Yim Chan-Salis's profile →
Citations per field
00.5×1.5×
Ka Yim Chan-Salis · 1×
Citations per year

Countries citing papers authored by Benoit Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013100
2 201250
3 201649
4 201635
5 201124
6 200923
7 202112
8 201510
9 20250

About Benoit Fischer

Benoit Fischer is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 303 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), interferon and immune responses (2 papers), Cancer-related Molecular Pathways (2 papers), Nuclear Structure and Function (2 papers), DNA Repair Mechanisms (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Molecular Biology (268 citations), Cell Biology (45 citations), Oncology (70 citations) and Aging (3 citations). Benoit Fischer has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Laurent Brino, Evi Soutoglou, Alkmini Kalousi, Làszlò Tora, Matthieu Stierlé, François Waharte, Didier Devys, David Umlauf, Jacques Bonnet and Marjorie Fournier. Their work appears in journals such as Scientific Reports, PLoS Genetics, Journal of Cell Science, Journal of Molecular Biology and Developmental Cell.

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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