Frédéric Colland

5.1k citations
34 papers · 2.8k indexed · h-index 26
  • Aging top 5%
    • Ubiquitin and proteasome pathways 16
    • Histone Deacetylase Inhibitors Research 6
    • Protein Degradation and Inhibitors 5
    • TGF-β signaling in diseases 4
    • RNA and protein synthesis mechanisms 4
  • Oncology top 5%
    • Cancer-related Molecular Pathways 4
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology 5
    • Bacteriophages and microbial interactions 3

Frédéric Colland

34 papers receiving 2.7k citations

Peers

Frédéric Colland
Comparison fields: 5 of 98
  • Aging 78
  • Molecular Biology 2.2k
  • Oncology 724
  • Genetics 472
  • Cancer Research 247
Replace Anthony G. Uren with:
Anthony G. Uren United Kingdom
Emma W Vaimberg United States
Kim Quon United States
Chie Kanei‐Ishii Japan
Lev P. Ovchinnikov Russia
Benoit Coulombe Canada
Kenneth B. Kaplan United States
Susan J. Baserga United States
Jasmin N. Dynek United States
Annette M.G. Dirac Netherlands
Frédéric Colland relative to Anthony G. Uren United Kingdom Anthony G. Uren's profile →
Citations per field
00.5×1.5×2.3×
Anthony G. Uren · 1×
Citations per year

Countries citing papers authored by Frédéric Colland

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Colland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201552
2 201590
3 201328
4 2012213
5 201131
6 201097
7 2009275
8 2009125
9 200917
10 200831
11 200797
12 2007116
13 200612
14 2004244
15 200442
16 200418
17 200238
18 200077
19 199888
20 19967

About Frédéric Colland

Frédéric Colland is a scholar working on Molecular Biology, Immunology and Genetics, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers), Bacterial Genetics and Biotechnology (5 papers), TGF-β signaling in diseases (4 papers), Cancer-related Molecular Pathways (4 papers), RNA and protein synthesis mechanisms (4 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Aging (78 citations), Molecular Biology (2.2k citations) and Oncology (724 citations). Frédéric Colland has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Laurent Daviet, Madelon M. Maurice, Philippe Guédat, Wolfgang Sippl, Xavier Jacq, Boudewijn Burgering, Alida M.M. de Vries-Smits, Arjan B. Brenkman, Niels van den Broek and Armando van der Horst. Their work appears in journals such as Molecular Microbiology, The EMBO Journal, Immunogenetics, Biochimie and The Journal of Cell Biology.

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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