M.C. Rousselet

411 total citations
23 papers, 116 citations indexed

About

M.C. Rousselet is a scholar working on Epidemiology, Hepatology and Hematology. According to data from OpenAlex, M.C. Rousselet has authored 23 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Hepatology and 3 papers in Hematology. Recurrent topics in M.C. Rousselet's work include Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (4 papers) and Hepatitis C virus research (4 papers). M.C. Rousselet is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (4 papers) and Hepatitis C virus research (4 papers). M.C. Rousselet collaborates with scholars based in France, United States and Netherlands. M.C. Rousselet's co-authors include Paul Calès, F. Oberti, Jérôme Boursier, I. Fouchard‐Hubert, S. Michalak, Charlène Brochard, Sandrine Bertrais, Yves Gallois, Christophe Aubé and Frédéric Oberti and has published in prestigious journals such as Journal of Hepatology, Annals of Oncology and Alimentary Pharmacology & Therapeutics.

In The Last Decade

M.C. Rousselet

22 papers receiving 113 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.C. Rousselet France 7 57 51 16 14 14 23 116
Maria Laura Dessanti Italy 6 41 0.7× 24 0.5× 27 1.7× 12 0.9× 32 2.3× 9 95
C Mussini Italy 5 31 0.5× 63 1.2× 13 0.8× 28 2.0× 13 0.9× 8 92
Hannah K. Jackson United Kingdom 5 41 0.7× 39 0.8× 6 0.4× 11 0.8× 13 0.9× 9 105
Satoshi Saitou Japan 7 154 2.7× 146 2.9× 23 1.4× 7 0.5× 7 0.5× 13 302
G Madej Poland 5 27 0.5× 23 0.5× 5 0.3× 3 0.2× 15 1.1× 16 94
Angelo Ferrantelli Italy 4 12 0.2× 15 0.3× 58 3.6× 15 1.1× 4 0.3× 15 169
Vesa Lindström Finland 8 39 0.7× 14 0.3× 16 1.0× 26 1.9× 23 1.6× 13 117
Margaret Hoyle United States 5 19 0.3× 11 0.2× 5 0.3× 4 0.3× 19 1.4× 10 116
Shona C. Moore United Kingdom 6 24 0.4× 6 0.1× 6 0.4× 3 0.2× 9 0.6× 8 152
Xiaobi Huang United States 5 17 0.3× 16 0.3× 35 2.2× 4 0.3× 21 1.5× 17 113

Countries citing papers authored by M.C. Rousselet

Since Specialization
Citations

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

Fields of papers citing papers by M.C. Rousselet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.C. Rousselet. 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 M.C. Rousselet. The network helps show where M.C. Rousselet may publish in the future.

Co-authorship network of co-authors of M.C. Rousselet

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

All Works

20 of 20 papers shown
1.
Aubert, Carole E., Valérie Le Corre, Souhil Lebdai, et al.. (2020). Évaluation de l’utilisation de la salle hybride sur l’activité de chirurgie en cancérologie rénale. Progrès en Urologie. 30(5). 288–295.
2.
Boursier, Jérôme, J. Vergniol, Adrien Lannes, et al.. (2017). The combination of Fibroscan with blood markers in the fibrometerVCTE significantly reduces the use of liver biopsy for the assessment of advanced fibrosis in non-alcoholic fatty liver disease. Journal of Hepatology. 66(1). S161–S162. 1 indexed citations
3.
Orvain, Corentin, Damien Luque Paz, Irène Dobo, et al.. (2016). Circulating Cd34+ cell count differentiates primary myelofibrosis from other Philadelphia-negative myeloproliferative neoplasms: a pragmatic study. Annals of Hematology. 95(11). 1819–1823. 6 indexed citations
4.
Boch, J., et al.. (2016). Dose Rate Switching Technique onELDRS-Free Bipolar Devices. IEEE Transactions on Nuclear Science. 63(4). 2065–2071. 7 indexed citations
5.
Boursier, Jérôme, J. Vergniol, Jean‐Baptiste Hiriart, et al.. (2015). P0989 : A combination of elastometry and blood markers improves the non-invasive staging of liver fibrosis in NAFLD. Journal of Hepatology. 62. S717–S718. 1 indexed citations
6.
Boch, J., A. Michez, M.C. Rousselet, et al.. (2015). Dose Rate Switching Technique to Estimate the Low Dose Rate Response of Bipolar Technologies. 1–4. 2 indexed citations
7.
Boursier, Jérôme, Charlène Brochard, Sandrine Bertrais, et al.. (2014). Combination of blood tests for significant fibrosis and cirrhosis improves the assessment of liver‐prognosis in chronic hepatitis C. Alimentary Pharmacology & Therapeutics. 40(2). 178–188. 33 indexed citations
8.
Boursier, Jérôme, Victor de Lédinghen, Vincent Leroy, et al.. (2010). 1046 A NEW FIBROSIS STAGING METHOD PROVIDES VERY ACCURATE NON-INVASIVE DIAGNOSIS OF LIVER FIBROSIS WITHOUT LIVER BIOPSY. Journal of Hepatology. 52. S405–S405. 1 indexed citations
9.
Calès, Paul, Jérôme Boursier, Sandrine Bertrais, et al.. (2010). 1048 ACCURACY OF LIVER FIBROSIS CLASSIFICATIONS PROVIDED BY NON-INVASIVE TESTS. Journal of Hepatology. 52. S406–S406. 2 indexed citations
10.
Calès, Paul, Jérôme Boursier, Julien Chaigneau, F. Oberti, & M.C. Rousselet. (2009). Treatment of liver fibrosis: Clinical aspects. Gastroentérologie Clinique et Biologique. 33(10-11). 958–966. 7 indexed citations
11.
Sandrini, Jérémy, et al.. (2009). Tuberculose compliquée d’un syndrome hémophagocytaire ou syndrome d’activation macrophagique. Médecine et Maladies Infectieuses. 40(8). 476–479. 4 indexed citations
12.
Calès, Paul, Jérôme Boursier, V. de Lédinghen, et al.. (2008). Evaluation and improvement of a reliable diagnosis of cirrhosis by blood tests. Gastroentérologie Clinique et Biologique. 32(12). 1050–1060. 8 indexed citations
13.
Lunel‐Fabiani, Françoise, Paul Calès, Philippe Halfon, et al.. (2007). P1886 Meta-analysis of blood scores for liverfibrosis in chronic hepatitis C. International Journal of Antimicrobial Agents. 29. S540–S541. 2 indexed citations
14.
Calès, Paul, Valériane Leroy, M.C. Rousselet, et al.. (2006). CA 19-Méta-analyse des scores sanguins de fibrose hépatique au cours des hépatites chroniques C. Gastroentérologie Clinique et Biologique. 30(8-9). 1058–1058. 1 indexed citations
15.
Boursier, Jérôme, Yves Gallois, I. Hubert, et al.. (2006). CA 18-Association scores sanguins, écho-doppler et élastométrie impulsionnelle pour le diagnostic de fibrose hépatique. Gastroentérologie Clinique et Biologique. 30(8-9). 1058–1058. 1 indexed citations
17.
Aubé, Christophe, et al.. (2004). Kyste endométriosique hépatique. Journal de Radiologie. 85(2). 124–127. 6 indexed citations
18.
Leclech, C., Christophe Aubé, M.C. Rousselet, et al.. (1995). [Favourable course of a pseudotumoral form of hepatic and splenic sarcoidosis under treatment with hydroxychloroquine and colchicine].. PubMed. 19(12). 1066–8. 5 indexed citations
19.
Ifrah, Norbert, et al.. (1987). Aleukaemic granulocytic sarcoma. International Journal of Clinical Practice. 41(8). 891–893. 2 indexed citations
20.
Rousselet, M.C., et al.. (1973). [Mobilization of hepatic and cardiac glycogen by phenyliminooxadiazols].. PubMed. 27(3). 517–27. 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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