Aurélien Perrin

800 citations
21 papers · 533 · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics

Papers in

Aurélien Perrin

20 papers receiving 530 citations

Peers

Aurélien Perrin
Comparison fields: 5 of 74
  • Aging 13
  • Molecular Biology 364
  • Genetics 132
  • Cancer Research 53
  • Cell Biology 59
Replace Ita Costello with:
Ita Costello United Kingdom
Candice L. Wike United States
Alexander R. Ball United States
Keng Boon Wee Singapore
Vincent Liu United States
John R. Seavitt United States
Monica Moza Finland
Hinke G. Kazemier Netherlands
Javier Robles‐Valero Spain
David W. Roadcap United States
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Citations per field
00.5×1.5×2×2.4×
Ita Costello · 1×
Citations per year

Countries citing papers authored by Aurélien Perrin

Since Specialization
Citations

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

Fields of papers citing papers by Aurélien Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023101
2 201878
3 201962
4 201855
5 201943
6 201740
7 201540
8 200125
9 201824
10 202019
11 202112
12 20209
13 20227
14 20226
15 20213
16 20233
17
Expression of a single beta-alpha chain protein of equine LH/CG in milk of transgenic rabbits and its biological activity
20012
18 20252
19 20201
20 20241

About Aurélien Perrin

Aurélien Perrin is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Genetics and Cell Biology, having authored 21 papers that have together received 533 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (8 papers), Muscle Physiology and Disorders (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Ubiquitin and proteasome pathways (3 papers), Animal Genetics and Reproduction (2 papers), Genomics and Rare Diseases (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (13 citations), Molecular Biology (364 citations), Genetics (132 citations), Cancer Research (53 citations) and Cell Biology (59 citations). Aurélien Perrin has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Dimitris P. Xirodimas, Robert Feil, David Llères, Aymeric Bailly, Chantal M. Maghames, Philippe Marin, Serge Urbach, D. Norman, Florence Rage and Andrea Riccio. Their work appears in journals such as Cell Reports, International Journal of Molecular Sciences, Annals of Clinical and Translational Neurology, Genes and Neuromuscular Disorders.

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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