John Rendu

2.4k citations
50 papers · 1.0k · h-index 16

Impact in

Papers in

John Rendu

45 papers receiving 1.0k citations

Peers

John Rendu
Comparison fields: 5 of 85
  • Reproductive Medicine 210
  • Nephrology 84
  • Cell Biology 167
  • Genetics 229
  • Genetics 78
Replace Unnur Styrkársdóttir with:
Unnur Styrkársdóttir Iceland
Weihong Zhao China
Yuning Xiong United States
Mikihiro Yoshie Japan
John E. Mickle United States
Julie Ivory Rushbrook United States
Véronique Satre France
Julie Steffann France
José Luis Montiel-Hernández Mexico
Paul G. Farnworth Australia
John Rendu relative to Unnur Styrkársdóttir Iceland Unnur Styrkársdóttir's profile →
Citations per field
00.5×2×3.4×
Unnur Styrkársdóttir · 1×
Citations per year

Countries citing papers authored by John Rendu

Since Specialization
Citations

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

Fields of papers citing papers by John Rendu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013317
2 2010110
3 201681
4 201537
5 201937
6 201731
7 202130
8 201430
9 201730
10 201329
11 201823
12 201819
13 201219
14 201618
15 202017
16 201516
17 201015
18 201615
19 201614
20 202111

About John Rendu

John Rendu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Genetics and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (9 papers), Muscle Physiology and Disorders (9 papers), Cardiomyopathy and Myosin Studies (9 papers), Ion channel regulation and function (6 papers), Genetic Neurodegenerative Diseases (5 papers), CRISPR and Genetic Engineering (5 papers), Nuclear Structure and Function (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Reproductive Medicine (210 citations), Nephrology (84 citations), Cell Biology (167 citations), Genetics (229 citations) and Genetics (78 citations). John Rendu has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Julien Fauré, Charles Coutton, Joël Lunardi, Didier Grünwald, Julie Delaroche, Thomas Karaouzène, Virginie Pierre, Sandra Yassine, Pierre F. Ray and Pierre‐Simon Jouk. Their work appears in journals such as Neuromuscular Disorders, Human Molecular Genetics, Human Mutation, Journal of Medical Genetics and Acta Neuropathologica Communications.

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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