Bernard Bonaïti

623 total citations
22 papers, 374 citations indexed

About

Bernard Bonaïti is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Bernard Bonaïti has authored 22 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Bernard Bonaïti's work include Genetic and phenotypic traits in livestock (7 papers), Agriculture and Rural Development Research (6 papers) and Genetic factors in colorectal cancer (3 papers). Bernard Bonaïti is often cited by papers focused on Genetic and phenotypic traits in livestock (7 papers), Agriculture and Rural Development Research (6 papers) and Genetic factors in colorectal cancer (3 papers). Bernard Bonaïti collaborates with scholars based in France, Belgium and United Kingdom. Bernard Bonaïti's co-authors include Catherine Bonaïti‐Pellié, Suzanne Lesage, Alexis Brice, Pierre Pollak, Alexandra Dürr, Alexis Elbaz, François Viallet, Mathieu Anheim, Christel Condroyer and Violaine Planté‐Bordeneuve and has published in prestigious journals such as Neurology, Journal of Medical Genetics and European Journal of Human Genetics.

In The Last Decade

Bernard Bonaïti

21 papers receiving 355 citations

Peers

Bernard Bonaïti

NEURO

PHYSI

GENET

Rachita Yadav United States

Louise Berkhoudt Lassen Denmark

Nancy Telford United States

Andreas Heiseke Germany

Kathrin Huehne Germany

Rosie Bell United Kingdom

Dominique Bétemps France

Hilary Holloway New Zealand

Martin Heinrichs Germany

Vydehi Kanneganti Israel

Rachita Yadav United States

Bernard Bonaïti

27 ×0.2

NEURO

150 ×1.2

PHYSI

68 ×0.6

GENET

192 ×1.8

33 ×0.4

Citations per year, relative to Bernard Bonaïti Bernard Bonaïti (= 1×) peers Rachita Yadav

Countries citing papers authored by Bernard Bonaïti

Since Specialization

Citations

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

Fields of papers citing papers by Bernard Bonaïti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Bonaïti

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Bonaïti. A scholar is included among the top collaborators of Bernard Bonaïti 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 Bonaïti. Bernard Bonaïti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bonaïti, Bernard, Flora Alarcon, Nadine Andrieu, et al.. (2013). A new scoring system in cancer genetics: application to criteria for BRCA1 and BRCA2 mutation screening. Journal of Medical Genetics. 51(2). 114–121. 4 indexed citations

Anheim, Mathieu, Alexis Elbaz, Suzanne Lesage, et al.. (2012). Penetrance of Parkinson disease in glucocerebrosidase gene mutation carriers. Neurology. 78(6). 417–420. 183 indexed citations

Bonaïti, Bernard, Flora Alarcon, Valérie Bonadona, et al.. (2011). Nouveau système de score pour le diagnostic des prédispositions aux cancers du sein et de l’ovaire associées à BRCA1/2. Bulletin du Cancer. 98(7). 779–795. 9 indexed citations

Bonaïti, Bernard, Malin Olsson, Urban Hellman, et al.. (2010). TTR familial amyloid polyneuropathy: does a mitochondrial polymorphism entirely explain the parent-of-origin difference in penetrance?. European Journal of Human Genetics. 18(8). 948–952. 54 indexed citations

Bonaïti, Bernard, Valérie Bonadona, Hervé Perdry, Nadine Andrieu, & Catherine Bonaïti‐Pellié. (2010). Estimating penetrance from multiple case families with predisposing mutations: extension of the ‘genotype-restricted likelihood’ (GRL) method. European Journal of Human Genetics. 19(2). 173–179. 5 indexed citations

Bonadona, Valérie, et al.. (2010). Estimation des risques tumoraux dans le syndrome de Lynch : résultats de l’étude française ERISCAM. Revue d Épidémiologie et de Santé Publique. 58. S71–S71.

Bonaïti, Bernard, Flora Alarcon, Catherine Bonaïti‐Pellié, & Violaine Planté‐Bordeneuve. (2009). Parent-of-origin effect in transthyretin related amyloid polyneuropathy. Amyloid. 16(3). 149–150. 24 indexed citations

Astruc, Jean‐Michel, et al.. (2009). SIEOL: implementing a global information system for genetic and techno-economic support in dairy sheep in France.. 123–127. 2 indexed citations

Barillet, F., et al.. (2009). Selecting milk composition and mastitis resistance by using a part lactation sampling design in French Manech red faced dairy sheep breed.. 129–135. 10 indexed citations

10.

Bonnardière, Claude La, Bernard Bonaïti, David Abrial, et al.. (2006). Milk yield, age at first calving, and the risk of BSE: An analysis at the farm level in France. Preventive Veterinary Medicine. 78(1). 67–78. 6 indexed citations

11.

Banos, Georgios, J. Philipsson, Bernard Bonaïti, et al.. (1993). Report of a joint research project between Interbull and Copa/Cogeca of the feasability of a simultaneous genetics evaluation of Black and White dairy bulls across European Community Countries. Open Repository and Bibliography (University of Liège). 9 indexed citations

12.

COULON, J.B., et al.. (1993). Facteurs de variation de la composition chimique du lait dans des exploitations à haut niveau de production. INRAE Productions Animales. 6(1). 53–60. 1 indexed citations

13.

Barillet, F. & Bernard Bonaïti. (1992). Les objectifs et les critères de sélection : La production laitière des ruminants traits. INRAE Productions Animales. 5(HS). 117–121. 1 indexed citations

14.

Bonaïti, Bernard, et al.. (1990). Genetic evaluation of dairy cattle in France.. 3(2). 83–92. 3 indexed citations

15.

Bonaïti, Bernard, et al.. (1990). La méthode française d’évaluation génétique des reproducteurs laitiers. INRAE Productions Animales. 3(2). 83–92. 5 indexed citations

16.

Bonaïti, Bernard, et al.. (1988). Comparaison des races bovines Charolaise, Limousine et Maine-Anjou en race pure et en intercroisement 2. Performances d'engraissement des taurillons purs et F1. Genetics Selection Evolution. 20(3). 343–343. 3 indexed citations

17.

Boichard, Didier & Bernard Bonaïti. (1987). Paramètres génétiques des caractères de production laitière en première lactation dans les races bovines Frisonne, Montbéliarde et Normande. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations

18.

Bonaïti, Bernard, et al.. (1982). Etudes sur la production laitière des bovins IV. – Paramètres génétiques en première lactation. Genetics Selection Evolution. 14(2). 161–161. 1 indexed citations

19.

Andersen, B. B., Giovanni Bittante, Bernard Bonaïti, et al.. (1981). Performance testing of bulls in AI: Report of a working group of the commission on cattle production. Livestock Production Science. 8(2). 101–119. 37 indexed citations

20.

Bonaïti, Bernard, et al.. (1979). Evaluation des aptitudes laitières des brebis de race pure ou croisées Romanov. Genetics Selection Evolution. 11(3). 223–223. 4 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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