Jocelyne Rémiré

944 total citations
17 papers, 750 citations indexed

About

Jocelyne Rémiré is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jocelyne Rémiré has authored 17 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 10 papers in Epidemiology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jocelyne Rémiré's work include Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Jocelyne Rémiré is often cited by papers focused on Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Jocelyne Rémiré collaborates with scholars based in France, Belgium and United States. Jocelyne Rémiré's co-authors include Jean–Michel Pawlotsky, Françoise Darthuy, Daniel Dhumeaux, Christophe Hézode, Magali Bouvier‐Alias, Anne Bastie, J Duval, Claude–James Soussy, I. Lonjon and C Pellet and has published in prestigious journals such as Hepatology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Jocelyne Rémiré

16 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jocelyne Rémiré France 12 693 614 96 79 61 17 750
Françoise Darthuy France 13 727 1.0× 651 1.1× 96 1.0× 84 1.1× 61 1.0× 17 793
Stefanie Grethe Germany 7 485 0.7× 421 0.7× 108 1.1× 53 0.7× 62 1.0× 10 544
A. Uy Germany 11 499 0.7× 474 0.8× 99 1.0× 62 0.8× 75 1.2× 15 592
J.M. Sánchez‐Tapias Spain 13 725 1.0× 638 1.0× 97 1.0× 68 0.9× 20 0.3× 20 772
J. Power Ireland 11 477 0.7× 424 0.7× 62 0.6× 82 1.0× 45 0.7× 14 574
J. Wai-Kuo Shih United States 8 386 0.6× 400 0.7× 91 0.9× 80 1.0× 34 0.6× 9 528
Minoru Horikita Japan 5 743 1.1× 713 1.2× 47 0.5× 83 1.1× 37 0.6× 6 787
Takahide Nakazawa Japan 8 551 0.8× 440 0.7× 79 0.8× 28 0.4× 116 1.9× 8 562
Maki Kojima Japan 5 430 0.6× 345 0.6× 76 0.8× 46 0.6× 80 1.3× 8 460
Showgo Ohkoshi Japan 12 698 1.0× 581 0.9× 68 0.7× 25 0.3× 127 2.1× 19 728

Countries citing papers authored by Jocelyne Rémiré

Since Specialization
Citations

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

Fields of papers citing papers by Jocelyne Rémiré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jocelyne Rémiré

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

All Works

17 of 17 papers shown
1.
2.
Gourlain, Karine, Alexandre Soulier, Magali Bouvier‐Alias, et al.. (2005). Dynamic Range of Hepatitis C Virus RNA Quantification with the Cobas Ampliprep-Cobas Amplicor HCV Monitor v2.0 Assay. Journal of Clinical Microbiology. 43(4). 1669–1673. 18 indexed citations
3.
Pawlotsky, Jean–Michel, Magali Bouvier‐Alias, Christophe Hézode, et al.. (2000). Standardization of Hepatitis C Virus RNA Quantification. Hepatology. 32(3). 654–659. 138 indexed citations
4.
Pawlotsky, Jean–Michel, Anne Bastie, Christophe Hézode, et al.. (2000). Routine detection and quantification of hepatitis B virus DNA in clinical laboratories: performance of three commercial assays. Journal of Virological Methods. 85(1-2). 11–21. 68 indexed citations
5.
Pawlotsky, Jean–Michel, Michèle Martinot‐Peignoux, Jean‐Dominique Poveda, et al.. (1999). Quantification of hepatitis C virus RNA in serum by branched DNA-based signal amplification assays. Journal of Virological Methods. 79(2). 227–235. 30 indexed citations
6.
Pawlotsky, Jean–Michel, Françoise Roudot‐Thoraval, A. Scott Muerhoff, et al.. (1998). GB virus C (GBV-C) infection in patients with chronic hepatitis C. Influence on liver disease and on hepatitis virus behaviour: Effect of interferon alfa therapy. Journal of Medical Virology. 54(1). 26–37. 23 indexed citations
7.
Pawlotsky, Jean–Michel, I. Lonjon, Christophe Hézode, et al.. (1998). What strategy should be used for diagnosis of hepatitis C virus infection in clinical laboratories?. Hepatology. 27(6). 1700–1702. 102 indexed citations
8.
Pawlotsky, Jean–Michel, Muriel Pellerin, Magali Bouvier‐Alias, et al.. (1998). Genetic complexity of the hypervariable region 1 (HVR1) of hepatitis C virus (HCV): Influence on the characteristics of the infection and responses to interferon alfa therapy in patients with chronic hepatitis C. Journal of Medical Virology. 54(4). 256–264. 94 indexed citations
9.
Pawlotsky, Jean–Michel, Muriel Pellerin, Michel Bouvier, et al.. (1998). Genetic complexity of the hypervariable region 1 (HVR1) of hepatitis C virus (HCV): Influence on the characteristics of the infection and responses to interferon alfa therapy in patients with chronic hepatitis C. Journal of Medical Virology. 54(4). 256–264. 8 indexed citations
10.
Pawlotsky, Jean–Michel, L. E. Prescott, Peter Simmonds, et al.. (1997). Serological determination of hepatitis C virus genotype: comparison with a standardized genotyping assay. Journal of Clinical Microbiology. 35(7). 1734–1739. 61 indexed citations
11.
Pawlotsky, Jean–Michel, F Roudot-Thoraval, Françoise Darthuy, et al.. (1996). Factors Affecting Treatment Responses to Interferon-  in Chronic Hepatitis C. The Journal of Infectious Diseases. 174(1). 1–7. 85 indexed citations
12.
Pawlotsky, Jean–Michel, Anne Bastie, C Pellet, et al.. (1996). Significance of indeterminate third-generation hepatitis C virus recombinant immunoblot assay. Journal of Clinical Microbiology. 34(1). 80–83. 69 indexed citations
13.
Pawlotsky, Jean–Michel, E Dussaix, Peter Simmonds, et al.. (1995). HEPATITIS-C VIRUS (HCV) GENOTYPE DETERMINATION - GENOTYPING VERSUS SEROTYPING. Hepatology. 22. 1009–1009. 5 indexed citations
14.
Pawlotsky, Jean–Michel, Jocelyne Rémiré, Françoise Darthuy, et al.. (1995). Is the detection of anti‐hepatitis C virus core IgM influenced by the presence of serum rheumatoid factor?. Journal of Medical Virology. 45(1). 68–70. 3 indexed citations
15.
Pawlotsky, Jean–Michel, Françoise Darthuy, Jocelyne Rémiré, et al.. (1995). Significance of anti‐hepatitis C virus core IgM antibodies in patients with chronic hepatitis C. Journal of Medical Virology. 47(3). 285–291. 13 indexed citations
16.
Pawlotsky, Jean–Michel, F Roudot-Thoraval, C Pellet, et al.. (1995). Influence of hepatitis C virus (HCV) genotypes on HCV recombinant immunoblot assay patterns. Journal of Clinical Microbiology. 33(5). 1357–1359. 32 indexed citations
17.
Garabedian, B, Jean–Michel Pawlotsky, François‐Jérôme Authier, et al.. (1994). Myasthenia gravis and hepatitis C virus infection. Neuromuscular Disorders. 4(5-6). S23–S23. 1 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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