Frédéric Blond

19 papers receiving 522 citations

Peers

Frédéric Blond
Comparison fields: 5 of 52
  • Ophthalmology 182
  • Cellular and Molecular Neuroscience 134
  • Molecular Biology 408
  • Genetics 53
  • Neurology 39
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Hideto Koso Japan
Tjing‐Tjing Hu Belgium
Akiko Suga Japan
Anne Järve Germany
Eva Klinman United States
Ram Fridlich France
Dimitra Athanasiou United Kingdom
Sook Hyun Chung Australia
Tasneem P. Sharma United States
J D Lindsey United States
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Citations per year

Countries citing papers authored by Frédéric Blond

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Blond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Blond, 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 Blond Line = papers co-authored together Frédéric Blond 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 2015295
2 201060
3 201536
4 202328
5 201225
6 202114
7 202312
8 202210
9 20169
10 20217
11 20237
12 20197
13 20246
14 20243
15 20242
16
The combined administration of the two products encoded by the nucleoredoxin-like-I gene stabilizes vision in a mouse model of retinitis pigmentosa
20171
17
The thioredoxin RdCVFL protects against photo-oxidative retinal damage
20151
18
The development of a therapy for retinitis pigmentosa based on the combined administration of the two products encoded by the nucleoredoxin like-1 gene
20181
19 20221
20 20250

About Frédéric Blond

Frédéric Blond is a scholar working on Ophthalmology, Neurology, Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 525 indexed citations. Recurring topics across this work include Retinal Development and Disorders (9 papers), Retinal Diseases and Treatments (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Corneal Surgery and Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers), Photochromic and Fluorescence Chemistry (2 papers), Connexins and lens biology (2 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Ophthalmology (182 citations), Cellular and Molecular Neuroscience (134 citations), Molecular Biology (408 citations), Genetics (53 citations) and Neurology (39 citations). Frédéric Blond has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Thierry Léveillard, José‐Alain Sahel, Emmanuelle Clérin, Géraldine Millet-Puel, Ram Fridlich, Jacques Bellalou, Alain Van Dorsselaer, Sacha Reichman, Najate Aït-Ali and Ludivine Perrocheau. Their work appears in journals such as Journal of Neuroinflammation, Investigative Ophthalmology & Visual Science, International Journal of Molecular Sciences, Scientific Reports and Acta Ophthalmologica.

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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