Bernard Puech

1.9k total citations
42 papers, 965 citations indexed

About

Bernard Puech is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Bernard Puech has authored 42 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Ophthalmology and 7 papers in Genetics. Recurrent topics in Bernard Puech's work include Retinal Development and Disorders (18 papers), Retinal Diseases and Treatments (13 papers) and Connexins and lens biology (3 papers). Bernard Puech is often cited by papers focused on Retinal Development and Disorders (18 papers), Retinal Diseases and Treatments (13 papers) and Connexins and lens biology (3 papers). Bernard Puech collaborates with scholars based in France, United States and United Kingdom. Bernard Puech's co-authors include Isabelle Meunier, Sabine Defoort‐Dhellemmes, J C Hache, Christian P. Hamel, Carl Arndt, Patrice François, Jean‐Jacques De Laey, Niki Hart‐Holden, Shomi S. Bhattacharya and Graeme C. Black and has published in prestigious journals such as Scientific Reports, Ophthalmology and The Journal of Pediatrics.

In The Last Decade

Bernard Puech

41 papers receiving 938 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernard Puech France 17 699 514 189 149 106 42 965
Felix Tonagel Germany 14 772 1.1× 347 0.7× 119 0.6× 124 0.8× 97 0.9× 33 1.0k
Emin Cumhur Şener Türkiye 15 395 0.6× 289 0.6× 184 1.0× 94 0.6× 82 0.8× 38 1.0k
A.C. Bird United Kingdom 17 557 0.8× 545 1.1× 114 0.6× 206 1.4× 49 0.5× 43 1.1k
Juliana Maria Ferraz Sallum Brazil 18 586 0.8× 518 1.0× 118 0.6× 204 1.4× 54 0.5× 94 870
Oliver Puk Germany 17 404 0.6× 186 0.4× 158 0.8× 127 0.9× 47 0.4× 30 681
Aimee V. Chappelow United States 11 685 1.0× 554 1.1× 104 0.6× 248 1.7× 53 0.5× 18 1.1k
J.W. Delleman Netherlands 17 360 0.5× 196 0.4× 275 1.5× 142 1.0× 137 1.3× 45 872
Wendy M. Aartsen Netherlands 13 574 0.8× 149 0.3× 100 0.5× 76 0.5× 153 1.4× 16 815
Mihailo Vujic Sweden 11 797 1.1× 304 0.6× 466 2.5× 84 0.6× 89 0.8× 14 1.1k
Pelin Atmaca-Sönmez United States 8 345 0.5× 382 0.7× 66 0.3× 220 1.5× 27 0.3× 12 650

Countries citing papers authored by Bernard Puech

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Puech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Puech

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Puech. A scholar is included among the top collaborators of Bernard Puech based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Puech. Bernard Puech is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Khan, Mubeen, Stéphanie S. Cornelis, Muhammad Imran Khan, et al.. (2019). Cost‐effective molecular inversion probe‐based ABCA4 sequencing reveals deep‐intronic variants in Stargardt disease. Human Mutation. 40(10). 1749–1759. 37 indexed citations
2.
Scheidecker, Sophie, Sarah Hull, Valérie Pelletier, et al.. (2015). Predominantly Cone-System Dysfunction as Rare Form of Retinal Degeneration in Patients With Molecularly Confirmed Bardet-Biedl Syndrome. American Journal of Ophthalmology. 160(2). 364–372.e1. 19 indexed citations
3.
Drumare, Isabelle, et al.. (2015). Long-term follow-up of two patients with oligocone trichromacy. Documenta Ophthalmologica. 131(2). 149–158. 4 indexed citations
4.
Meunier, Isabelle, Gaël Manès, Béatrice Bocquet, et al.. (2014). Frequency and Clinical Pattern of Vitelliform Macular Dystrophy Caused by Mutations of Interphotoreceptor Matrix IMPG1 and IMPG2 Genes. Ophthalmology. 121(12). 2406–2414. 55 indexed citations
5.
Lacassagne, Emmanuelle, Florence Rigaudière, Karine Bigot, et al.. (2011). Phenotypic variability in a French family with a novel mutation in the BEST1 gene causing multifocal best vitelliform macular dystrophy.. PubMed. 17. 309–22. 24 indexed citations
6.
Meunier, Isabelle, Audrey Sénéćhal, Claire‐Marie Dhaenens, et al.. (2011). Systematic Screening of BEST1 and PRPH2 in Juvenile and Adult Vitelliform Macular Dystrophies: A Rationale for Molecular Analysis. Ophthalmology. 118(6). 1130–1136. 46 indexed citations
7.
Giaufré, E., et al.. (2011). Le vécu de l’algoneurodystrophie ou syndrome douloureux régional complexe de type 1 par le chirurgien. Annales Françaises d Anesthésie et de Réanimation. 31(1). e33–e38. 1 indexed citations
8.
Perrault, Isabelle, Sylvain Hanein, Xavier Gérard, et al.. (2010). Spectrum ofSPATA7mutations in Leber congenital amaurosis and delineation of the associated phenotype. Human Mutation. 31(3). E1241–E1250. 19 indexed citations
9.
Puech, Bernard, Arnaud Lacour, Giovanni Stévanin, et al.. (2010). Kjellin Syndrome: Long-term Neuro-ophthalmologic Follow-up and Novel Mutations in the SPG11 Gene. Ophthalmology. 118(3). 564–573. 24 indexed citations
10.
Hamel, Christian P., Isabelle Meunier, Carl Arndt, et al.. (2009). Extensive Macular Atrophy with Pseudodrusen-like Appearance: A New Clinical Entity. American Journal of Ophthalmology. 147(4). 609–620. 49 indexed citations
11.
Puech, Virginie, Bernard Puech, Andrew R. Webster, et al.. (2008). A Molecular Genetic Investigation of Two Families With Macular Dysplasia in Association With Digit Abnormalities. Investigative Ophthalmology & Visual Science. 49(13). 456–456. 1 indexed citations
12.
Leroy, Bart P., Niki Hart‐Holden, B. A. Lafaut, et al.. (2004). Mutations of VMD2 Splicing Regulators Cause Nanophthalmos and Autosomal Dominant Vitreoretinochoroidopathy (ADVIRC). Investigative Ophthalmology & Visual Science. 45(10). 3683–3683. 163 indexed citations
13.
Defoort‐Dhellemmes, Sabine, Thierry Lebrun, Carl Arndt, et al.. (2004). Achromatopsie congénitale : intérêt de l’électrorétinogramme pour le diagnostic précoce. Journal Français d Ophtalmologie. 27(2). 143–148. 4 indexed citations
14.
Marchant, Dominique, Karı̈n Gogat, Sandrine Boutboul, et al.. (2001). Identification of novel VMD2 gene mutations in patients with best vitelliform macular dystrophy. Human Mutation. 17(3). 235–235. 37 indexed citations
15.
Small, Kent W., Nitin Udar, Robert R. Klein, et al.. (1999). North Carolina macular dystrophy (MCDR1) locus: a fine resolution genetic map and haplotype analysis.. PubMed. 5. 38–38. 36 indexed citations
16.
17.
Puech, Bernard, et al.. (1990). Biointegration of massive bone allografts: imaging and histological studies in cat.. PubMed. 11. 75–8. 5 indexed citations
18.
Puech, Bernard, et al.. (1989). [Heredity in Stargardt disease and fundus flavimaculatus].. PubMed. 3(3). 187–92. 2 indexed citations
19.
Puech, Bernard, et al.. (1989). X-Shaped Macular Dystrophy with Flavimaculatus Flecks. Ophthalmologica. 199(4). 146–157. 7 indexed citations
20.
Puech, P, et al.. (1989). Identification of the cranium of W.A. Mozart. Forensic Science International. 41(1-2). 101–110. 9 indexed citations

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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