Fabrice Larribe

1.6k total citations
19 papers, 1.1k citations indexed

About

Fabrice Larribe is a scholar working on Health, Toxicology and Mutagenesis, Genetics and Analytical Chemistry. According to data from OpenAlex, Fabrice Larribe has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health, Toxicology and Mutagenesis, 5 papers in Genetics and 3 papers in Analytical Chemistry. Recurrent topics in Fabrice Larribe's work include Mercury impact and mitigation studies (9 papers), Heavy Metal Exposure and Toxicity (8 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Fabrice Larribe is often cited by papers focused on Mercury impact and mitigation studies (9 papers), Heavy Metal Exposure and Toxicity (8 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Fabrice Larribe collaborates with scholars based in Canada, Brazil and United States. Fabrice Larribe's co-authors include Donna Mergler, Marc Lucotte, Jean Lebel, Carlos José Sousa Passos, Fernando J.P. Branches, Ken Hudnell, Mary Baldwin, Myriam Fillion, Jean Remy Davée Guimarães and Mélanie Lemire and has published in prestigious journals such as The Science of The Total Environment, Environmental Research and Public Health Nutrition.

In The Last Decade

Fabrice Larribe

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrice Larribe Canada 12 908 214 161 72 66 19 1.1k
Melanie A. Marty United States 18 624 0.7× 68 0.3× 152 0.9× 31 0.4× 50 0.8× 28 1.1k
Ľubica Palkovičová Slovakia 28 1.3k 1.4× 83 0.4× 130 0.8× 18 0.3× 43 0.7× 83 1.7k
Beata Drobná Slovakia 25 1.3k 1.4× 54 0.3× 144 0.9× 13 0.2× 59 0.9× 56 1.6k
Paula de Novaes Sarcinelli Brazil 18 701 0.8× 168 0.8× 272 1.7× 32 0.4× 376 5.7× 42 1.2k
Marina Vafeiadi Greece 23 877 1.0× 156 0.7× 97 0.6× 17 0.2× 54 0.8× 59 1.5k
Harold Zenick United States 18 555 0.6× 75 0.4× 51 0.3× 34 0.5× 131 2.0× 53 1.1k
Srishti Shrestha United States 19 555 0.6× 80 0.4× 95 0.6× 33 0.5× 225 3.4× 54 1.1k
Nadia Abdelouahab Canada 22 922 1.0× 153 0.7× 109 0.7× 10 0.1× 38 0.6× 35 1.4k
Maritsa Solano-González United States 19 603 0.7× 152 0.7× 143 0.9× 26 0.4× 135 2.0× 37 959
Paul B. Hammond United States 15 914 1.0× 311 1.5× 305 1.9× 8 0.1× 63 1.0× 21 1.4k

Countries citing papers authored by Fabrice Larribe

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Larribe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Larribe

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

All Works

19 of 19 papers shown
1.
Larribe, Fabrice, et al.. (2015). A new method for estimating the demographic history from DNA sequences: an importance sampling approach. Frontiers in Genetics. 6. 259–259. 1 indexed citations
2.
Fillion, Myriam, Mélanie Lemire, Aline Philibert, et al.. (2013). Toxic risks and nutritional benefits of traditional diet on near visual contrast sensitivity and color vision in the Brazilian Amazon. NeuroToxicology. 37. 173–181. 21 indexed citations
3.
Larribe, Fabrice & Paul Fearnhead. (2011). Composite likelihood methods in statistical genetics. Lancaster EPrints (Lancaster University). 4 indexed citations
4.
Fillion, Myriam, Mélanie Lemire, Aline Philibert, et al.. (2011). Visual acuity in fish consumers of the Brazilian Amazon: risks and benefits from local diet. Public Health Nutrition. 14(12). 2236–2244. 19 indexed citations
5.
Larribe, Fabrice & Paul Fearnhead. (2011). ON COMPOSITE LIKELIHOODS IN STATISTICAL GENETICS. 30 indexed citations
6.
Larribe, Fabrice & Sabin Lessard. (2008). A Composite-Conditional-Likelihood Approach for Gene Mapping Based on Linkage Disequilibrium in Windows of Marker Loci. Statistical Applications in Genetics and Molecular Biology. 7(1). Article27–Article27. 6 indexed citations
7.
Baldwin, Mary, Maryse F. Bouchard, Fabrice Larribe, & Donna Mergler. (2008). Past Occupational Exposure to Airborne Manganese in a Manganese Alloy Plant. Journal of Occupational and Environmental Hygiene. 5(7). 426–437. 11 indexed citations
8.
Fillion, Myriam, Donna Mergler, Carlos José Sousa Passos, et al.. (2006). A preliminary study of mercury exposure and blood pressure in the Brazilian Amazon. Environmental Health. 5(1). 29–29. 138 indexed citations
9.
Passos, Carlos José Sousa, Fabrice Larribe, & Donna Mergler. (2004). Response to “Fruits, fish, and mercury: further considerations”. Environmental Research. 96(1). 104–105. 7 indexed citations
10.
Passos, Carlos José Sousa, Donna Mergler, Marc Lucotte, et al.. (2003). Eating tropical fruit reduces mercury exposure from fish consumption in the Brazilian Amazon. Environmental Research. 93(2). 123–130. 94 indexed citations
11.
Larribe, Fabrice, Sabin Lessard, & Nicholas J. Schork. (2002). Gene Mapping via the Ancestral Recombination Graph. Theoretical Population Biology. 62(2). 215–229. 24 indexed citations
12.
Mergler, Donna, et al.. (2001). Sequential analysis of hair mercury levels in relation to fish diet of an Amazonian population, Brazil. The Science of The Total Environment. 271(1-3). 87–97. 119 indexed citations
13.
Baldwin, Mary, Donna Mergler, Fabrice Larribe, et al.. (1999). Bioindicator and exposure data for a population based study of manganese.. PubMed. 20(2-3). 343–53. 74 indexed citations
14.
Baldwin, Mary, Fabrice Larribe, Anne Beuter, et al.. (1999). Manganese neurotoxicity, a continuum of dysfunction: results from a community based study.. PubMed. 20(2-3). 327–42. 197 indexed citations
15.
Lebel, Jean, et al.. (1998). Neurotoxic Effects of Low-Level Methylmercury Contamination in the Amazonian Basin. Environmental Research. 79(1). 20–32. 250 indexed citations
16.
Mergler, Donna, Fabrice Larribe, Michel Panisset, et al.. (1998). Preliminary evidence of neurotoxicity associated with eating fish from the Upper St. Lawrence River Lakes.. PubMed. 19(4-5). 691–702. 31 indexed citations
17.
Lebel, Jean, M. Roulet, Donna Mergler, Marc Lucotte, & Fabrice Larribe. (1997). Fish Diet and Mercury Exposure in a Riparian Amazonian Population. Water Air & Soil Pollution. 97(1-2). 31–44. 7 indexed citations
18.
Lebel, Jean, M. Roulet, Donna Mergler, Marc Lucotte, & Fabrice Larribe. (1997). Fish diet and mercury exposure in a riparian Amazonian population. Water Air & Soil Pollution. 97(1-2). 31–44. 81 indexed citations
19.
Mergler, Donna, et al.. (1996). [Mental health deterioration in workers exposed to styrene].. PubMed. 44(1). 14–24. 8 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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