Stéphane Bourgeois

3.0k total citations · 1 hit paper
18 papers, 1.1k citations indexed

About

Stéphane Bourgeois is a scholar working on Genetics, Pharmacology and Molecular Biology. According to data from OpenAlex, Stéphane Bourgeois has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in Stéphane Bourgeois's work include Pharmacogenetics and Drug Metabolism (6 papers), Forensic and Genetic Research (5 papers) and Genetic Associations and Epidemiology (4 papers). Stéphane Bourgeois is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Forensic and Genetic Research (5 papers) and Genetic Associations and Epidemiology (4 papers). Stéphane Bourgeois collaborates with scholars based in United Kingdom, Canada and United States. Stéphane Bourgeois's co-authors include Damian Labuda, Panos Deloukas, Mia Wadelius, Ralph McGinnis, Vasudev Kumanduri, Jonatan D. Lindh, Pamela Whittaker, C. Barnes, Nicole Soranzo and Niclas Eriksson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain and Analytical Biochemistry.

In The Last Decade

Stéphane Bourgeois

18 papers receiving 1.1k citations

Hit Papers

A Genome-Wide Association Study Confirms VKORC1, CYP2C9, ... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stéphane Bourgeois United Kingdom 14 465 314 236 163 127 18 1.1k
Konstanze Hörtnagel Germany 20 550 1.2× 416 1.3× 763 3.2× 286 1.8× 105 0.8× 39 2.0k
Wolfgang Simon Germany 17 404 0.9× 493 1.6× 447 1.9× 94 0.6× 83 0.7× 46 1.4k
Olga A. Iakoubova United States 17 115 0.2× 457 1.5× 390 1.7× 109 0.7× 259 2.0× 26 1.2k
Suzannah Bumpstead United Kingdom 8 629 1.4× 879 2.8× 511 2.2× 305 1.9× 187 1.5× 8 2.0k
Scott J. Hebbring United States 26 162 0.3× 774 2.5× 836 3.5× 132 0.8× 35 0.3× 67 2.0k
Eric D. Wieben United States 26 138 0.3× 387 1.2× 949 4.0× 88 0.5× 76 0.6× 52 1.7k
Charlotte Brasch‐Andersen Denmark 19 177 0.4× 198 0.6× 497 2.1× 201 1.2× 30 0.2× 49 1.1k
Yoram Cohen Israel 18 123 0.3× 280 0.9× 483 2.0× 69 0.4× 23 0.2× 47 1.3k
Jun Gu China 18 135 0.3× 139 0.4× 351 1.5× 46 0.3× 49 0.4× 30 848
Britt I. Drögemöller Canada 20 366 0.8× 292 0.9× 369 1.6× 27 0.2× 28 0.2× 54 1.0k

Countries citing papers authored by Stéphane Bourgeois

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Bourgeois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stéphane Bourgeois

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

All Works

18 of 18 papers shown
1.
Bourgeois, Stéphane, Daniel F. Carr, Andrew P. Morris, et al.. (2021). Genome-Wide association between EYA1 and Aspirin-induced peptic ulceration. EBioMedicine. 74. 103728–103728. 5 indexed citations
2.
Amerikanou, Charalampia, Konstantinos Rouskas, Alexandros C. Dimopoulos, et al.. (2020). A Genetic Risk Score for the Estimation of Weight Loss After Bariatric Surgery. Obesity Surgery. 30(4). 1482–1490. 13 indexed citations
3.
Gottlieb, Assaf, Roxana Daneshjou, Marianne K. DeGorter, et al.. (2017). Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans. Genome Medicine. 9(1). 98–98. 8 indexed citations
4.
Klein, Kathrin, Andrea Jorgensen, Ben Francis, et al.. (2017). Effect of Genetic Variability in the CYP4F2, CYP4F11, and CYP4F12 Genes on Liver mRNA Levels and Warfarin Response. Frontiers in Pharmacology. 8. 323–323. 20 indexed citations
5.
Bourgeois, Stéphane, Andrea Jorgensen, Eunice J. Zhang, et al.. (2016). A multi-factorial analysis of response to warfarin in a UK prospective cohort. Genome Medicine. 8(1). 2–2. 42 indexed citations
6.
Parra, Esteban J., Mariana Rodrigues Botton, Jamila Alessandra Perini, et al.. (2015). Genome-Wide Association Study of Warfarin Maintenance Dose in a Brazilian Sample. Pharmacogenomics. 16(11). 1253–1263. 30 indexed citations
7.
Daneshjou, Roxana, Nicholas P. Tatonetti, Konrad J. Karczewski, et al.. (2013). Pathway analysis of genome-wide data improves warfarin dose prediction. BMC Genomics. 14(S3). S11–S11. 31 indexed citations
8.
Pérez-Andreu, Virginia, Javier Corral, Vanessa Roldán, et al.. (2012). miR-133a Regulates Vitamin K 2,3-Epoxide Reductase Complex Subunit 1 (VKORC1), a Key Protein in the Vitamin K Cycle. Molecular Medicine. 18(11). 1466–1472. 26 indexed citations
9.
Lefebvre, J, Claudia Moreau, Elias Gbeha, et al.. (2011). An X-Linked Haplotype of Neandertal Origin Is Present Among All Non-African Populations. Molecular Biology and Evolution. 28(7). 1957–1962. 34 indexed citations
10.
Takeuchi, Fumihiko, Ralph McGinnis, Stéphane Bourgeois, et al.. (2009). A Genome-Wide Association Study Confirms VKORC1, CYP2C9, and CYP4F2 as Principal Genetic Determinants of Warfarin Dose. PLoS Genetics. 5(3). e1000433–e1000433. 475 indexed citations breakdown →
11.
Bourgeois, Stéphane, Vania Yotova, Sijia Wang, et al.. (2009). X‐chromosome lineages and the settlement of the Americas. American Journal of Physical Anthropology. 140(3). 417–428. 13 indexed citations
12.
Bedoya, Gabriel, Patricia Montoya, Jenny García Valencia, et al.. (2006). Admixture dynamics in Hispanics: A shift in the nuclear genetic ancestry of a South American population isolate. Proceedings of the National Academy of Sciences. 103(19). 7234–7239. 175 indexed citations
13.
Moreau, Claudia, Vania Yotova, Fei Xiao, et al.. (2005). Ethiopia: between Sub-Saharan Africa and Western Eurasia. Annals of Human Genetics. 69(3). 275–287. 25 indexed citations
14.
Moreau, Claudia, Vania Yotova, Fei Xiao, et al.. (2005). Ethiopia: between Sub‐Saharan Africa and Western Eurasia. Annals of Human Genetics. 69(3). 275–287. 23 indexed citations
15.
Yotova, Vania, Damian Labuda, Ewa Ziętkiewicz, et al.. (2005). Anatomy of a founder effect: myotonic dystrophy in Northeastern Quebec. Human Genetics. 117(2-3). 177–187. 41 indexed citations
16.
Xiao, Fengxia, Vania Yotova, Ewa Ziętkiewicz, et al.. (2003). Human X-chromosomal lineages in Europe reveal Middle Eastern and Asiatic contacts. European Journal of Human Genetics. 12(4). 301–311. 17 indexed citations
17.
Bourgeois, Stéphane & Damian Labuda. (2003). Dynamic allele-specific oligonucleotide hybridization on solid support. Analytical Biochemistry. 324(2). 309–311. 29 indexed citations
18.
Dürr, Alexandra, Caroline Paternotte, Paula Coutinho, et al.. (1996). Phenotype of autosomal dominant spastic paraplegia linked to chromosome 2. Brain. 119(5). 1487–1496. 67 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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