Rémi Kazma

640 total citations
17 papers, 393 citations indexed

About

Rémi Kazma is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Rémi Kazma has authored 17 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Rémi Kazma's work include Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Rémi Kazma is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Genomics and Rare Diseases (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Rémi Kazma collaborates with scholars based in United States, France and Switzerland. Rémi Kazma's co-authors include Emmanuelle Génin, John S. Witte, Iona Cheng, Benjamin A. Rybicki, Albert M. Levin, Joel Mefford, Maja Mockenhaupt, Alain Hovnanian, Marie‐Claude Babron and Martin Schumacher and has published in prestigious journals such as PLoS ONE, Cancer Research and American Journal of Epidemiology.

In The Last Decade

Rémi Kazma

17 papers receiving 389 citations

Peers

Rémi Kazma

PRM

GENET

PHARM

Junqi Wang China

Nathalie Marchand United States

Marianne Rodrigues Fernandes Brazil

Margaret Ghilchik United Kingdom

Nina Lahdenpohja Finland

Zoltán Berger Chile

Stefania Cheli Italy

Jiangyang Zhao China

M Itoh Japan

Zdzisława Kondera‐Anasz Poland

Junqi Wang China

Rémi Kazma

104 ×0.9

68 ×0.9

PRM

52 ×0.7

44 ×0.6

GENET

17 ×0.2

PHARM

Citations per year, relative to Rémi Kazma Rémi Kazma (= 1×) peers Junqi Wang

Countries citing papers authored by Rémi Kazma

Since Specialization

Citations

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

Fields of papers citing papers by Rémi Kazma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Kazma

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

All Works

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17 of 17 papers shown

Yuen, Man‐Fung, Xue Zhou, Edward Gane, et al.. (2021). Safety, pharmacokinetics, and antiviral activity of RO7049389, a core protein allosteric modulator, in patients with chronic hepatitis B virus infection: a multicentre, randomised, placebo-controlled, phase 1 trial. The Lancet. Gastroenterology & hepatology. 6(9). 723–732. 43 indexed citations

Zhou, Xuedong, Rémi Kazma, Dominik M. Meinel, et al.. (2020). Resistance monitoring data from treatment-naive chronic HBV infected patients treated for 28 days with a new class a core protein allosteric modulator RO7049389 monotherapy. Journal of Hepatology. 73. S850–S851. 2 indexed citations

Li, Yuqing, Elena Giorgi, Kenneth B. Beckman, et al.. (2019). Association between mitochondrial genetic variation and breast cancer risk: The Multiethnic Cohort. PLoS ONE. 14(10). e0222284–e0222284. 9 indexed citations

Budde, Petra, Rémi Kazma, Patrick D. Maguire, et al.. (2017). SAT0301 Serum autoantibody profiling of primary sjÖgren's syndrome patients reveals novel biomarkers associated with the disease, disease activity, and clinical response to vay736. Annals of the Rheumatic Diseases. 76. 886–886. 1 indexed citations

Lindquist, Karla, Pamela L. Paris, Thomas J. Hoffmann, et al.. (2016). Mutational Landscape of Aggressive Prostate Tumors in African American Men. Cancer Research. 76(7). 1860–1868. 54 indexed citations

Oliveira, J., Rémi Kazma, Édith Le Floch, et al.. (2016). Toxoplasma gondii exposure may modulate the influence of TLR2 genetic variation on bipolar disorder: a gene–environment interaction study. International Journal of Bipolar Disorders. 4(1). 11–11. 30 indexed citations

Li, Yuqing, Kenneth B. Beckman, Christian Caberto, et al.. (2015). Association of Genes, Pathways, and Haplogroups of the Mitochondrial Genome with the Risk of Colorectal Cancer: The Multiethnic Cohort. PLoS ONE. 10(9). e0136796–e0136796. 36 indexed citations

Babron, Marie‐Claude, Rémi Kazma, Valérie Gaborieau, et al.. (2014). Genetic variants in DNA repair pathways and risk of upper aerodigestive tract cancers: combined analysis of data from two genome-wide association studies in European populations. Carcinogenesis. 35(7). 1523–1527. 9 indexed citations

Kazma, Rémi, Niall J. Cardin, & John S. Witte. (2012). Does Accounting for Gene-Environment Interactions Help Uncover Association between Rare Variants and Complex Diseases?. Human Heredity. 74(3-4). 205–214. 5 indexed citations

10.

Kazma, Rémi, Joel Mefford, Iona Cheng, et al.. (2012). Association of the Innate Immunity and Inflammation Pathway with Advanced Prostate Cancer Risk. PLoS ONE. 7(12). e51680–e51680. 49 indexed citations

11.

Kazma, Rémi, Marie‐Claude Babron, Valérie Gaborieau, et al.. (2012). Lung cancer and DNA repair genes: multilevel association analysis from the International Lung Cancer Consortium. Carcinogenesis. 33(5). 1059–1064. 29 indexed citations

12.

Génin, Emmanuelle, Martin Schumacher, Jean‐Claude Roujeau, et al.. (2011). Genome-wide association study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe. Orphanet Journal of Rare Diseases. 6(1). 52–52. 81 indexed citations

13.

Kazma, Rémi, Thomas J. Hoffmann, & John S. Witte. (2011). Use of principal components to aggregate rare variants in case-control and family-based association studies in the presence of multiple covariates. BMC Proceedings. 5(S9). S29–S29. 5 indexed citations

14.

Kazma, Rémi & Julia N. Bailey. (2011). Population‐based and family‐based designs to analyze rare variants in complex diseases. Genetic Epidemiology. 35(S1). S41–7. 18 indexed citations

15.

Kazma, Rémi, Marie‐Claude Babron, & Emmanuelle Génin. (2010). Genetic Association and Gene-Environment Interaction: A New Method for Overcoming the Lack of Exposure Information in Controls. American Journal of Epidemiology. 173(2). 225–235. 17 indexed citations

16.

Kazma, Rémi, Catherine Bonaïti‐Pellié, Jill M. Norris, & Emmanuelle Génin. (2009). On the use of sibling recurrence risks to select environmental factors liable to interact with genetic risk factors. European Journal of Human Genetics. 18(1). 88–94. 2 indexed citations

17.

Kazma, Rémi, Marie‐Hélène Dizier, M Guilloud-Bataille, Catherine Bonaïti‐Pellié, & Emmanuelle Génin. (2007). Power comparison of different methods to detect genetic effects and gene-environment interactions. BMC Proceedings. 1(S1). S74–S74. 3 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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