Sophie Clément
- Molecular Biology top 10%
- Epidemiology top 2%
- Hepatology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Co-authors
- Francesco NegroChristine ChaponnierGiulio GabbianiNicolas GoossensVera B. DuginaMichelangelo FotiDulce AlfaiateValerio Pazienza
- Topics
- Liver Disease Diagnosis and Treatment (28 papers)Hepatitis C virus research (26 papers)Hepatitis B Virus Studies (12 papers)
- Cited by
- HepatologyEpidemiologyCell Biology
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Sophie Clément
90 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.1k
- Epidemiology 993
- Hepatology 901
- Cardiology and Cardiovascular Medicine 475
- Surgery 412
Countries citing papers authored by Sophie Clément
This map shows the geographic impact of Sophie Clément'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 Sophie Clément with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sophie Clément more than expected).
Fields of papers citing papers by Sophie Clément
This network shows the impact of papers produced by Sophie Clément. 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 Sophie Clément. The network helps show where Sophie Clément may publish in the future.
Co-authorship network of co-authors of Sophie Clément
This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Clément. A scholar is included among the top collaborators of Sophie Clément 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 Sophie Clément. Sophie Clément is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | 82 | |
| 10 | 53 | |
| 11 | 177 | |
| 12 | 18 | |
| 13 | 191 | |
| 14 | 9 | |
| 15 | 67 | |
| 16 | Intracellular residency is frequently associated with recurrent Staphylococcus aureus rhinosinusitis. | 81 |
| 17 | Mutant actins that cause congenital myopathy affect sarcomeric protein expression in patient muscle and produce intranuclear and cytoplasmic aggregates in cultured myoblasts | 3 |
| 18 | 89 | |
| 19 | 18 | |
| 20 | 11 |
About Sophie Clément
Sophie Clément is a scholar working on Hepatology, Epidemiology and Cell Biology, having authored 94 papers that have together received 2.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (28 papers), Hepatitis C virus research (26 papers) and Hepatitis B Virus Studies (12 papers). The work is most often cited by research in Hepatology (901 citations), Epidemiology (993 citations) and Cell Biology (347 citations). Sophie Clément has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Francesco Negro, Christine Chaponnier, Giulio Gabbiani, Nicolas Goossens, Vera B. Dugina, Michelangelo Foti, Dulce Alfaiate, Valerio Pazienza, Stéphanie Pascarella and Ingrid Zwaenepoel. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.