Michèle Martinot

582 citations
15 papers · 461 indexed · h-index 9
Topics
Hepatitis C virus research (15 papers)Liver Disease Diagnosis and Treatment (12 papers)Hepatitis B Virus Studies (7 papers)
Partner nations
FranceKuwaitSwitzerland

In The Last Decade

Michèle Martinot

15 papers receiving 438 citations

Peers

Michèle Martinot
Comparison fields: 5 of 42
  • Hepatology 419
  • Epidemiology 418
  • Infectious Diseases 57
  • Rheumatology 32
  • Molecular Biology 13
Replace Uta Naumann with:
Uta Naumann Germany
Barbara Langer Germany
Yoshitaka Etoh Japan
Pascale Aumont France
U. Oesen Germany
J Fehr Germany
Valeria Tedeschi United States
N.C. Tassopoulos Greece
W.O. Böcher Germany
R. Naukkarinen Finland
Michèle Martinot relative to Uta Naumann Germany Uta Naumann's profile →
Citations per field
00.5×1.5×1.9×
Uta Naumann · 1×
Citations per year

Countries citing papers authored by Michèle Martinot

Since Specialization
Citations

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

Fields of papers citing papers by Michèle Martinot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michèle Martinot

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 8
2 33
3 66
4 20
5 1
6 152
7 38
8 25
9
Economic analysis of early serum hepatitis C virus RNA testing in patients with chronic hepatitis C on interferon therapy.
1
10 34
11
[Genetic variability of the hepatitis C virus: clinical implications].
7
12 2
13 16
14 2
15 56

About Michèle Martinot

Michèle Martinot is a scholar working on Hepatology, Epidemiology and Rheumatology, having authored 15 papers that have together received 461 indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Liver Disease Diagnosis and Treatment (12 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Hepatology (419 citations), Epidemiology (418 citations) and Infectious Diseases (57 citations). Michèle Martinot has collaborated with scholars based in France, Kuwait and Switzerland. Frequent co-authors include Patrick Marcellin, Nathalie Boyer, Dominique Valla, John Patrick Madda, Claude Degott, Thierry Thévenot, François Vachon, Jean‐Louis Vildé, Françoise Degos and J. P. Coulaud. Their work appears in journals such as Annals of Internal Medicine, Gastroenterology and Journal of Hepatology.

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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