Delphine Sitterlin
- Molecular Biology
- Epidemiology top 5%
- Immunology
- Hepatology top 5%
- Infectious Diseases top 10%
- Co-authors
- Catherine TransyAnne DejeanJacob-S. SeelerAgnès MarchioPierre TiollaisFrançoise BergamettiJan M. A. van DeursenXiaosheng Wu
- Topics
- Hepatitis B Virus Studies (9 papers)Respiratory viral infections research (6 papers)Hepatitis C virus research (6 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Delphine Sitterlin
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 573
- Epidemiology 555
- Immunology 194
- Hepatology 183
- Infectious Diseases 180
Countries citing papers authored by Delphine Sitterlin
This map shows the geographic impact of Delphine Sitterlin'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 Delphine Sitterlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Delphine Sitterlin more than expected).
Fields of papers citing papers by Delphine Sitterlin
This network shows the impact of papers produced by Delphine Sitterlin. 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 Delphine Sitterlin. The network helps show where Delphine Sitterlin may publish in the future.
Co-authorship network of co-authors of Delphine Sitterlin
This figure shows the co-authorship network connecting the top 25 collaborators of Delphine Sitterlin. A scholar is included among the top collaborators of Delphine Sitterlin 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 Delphine Sitterlin. Delphine Sitterlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 3 | |
| 6 | 138 | |
| 7 | 8 | |
| 8 | 35 | |
| 9 | 2 | |
| 10 | 23 | |
| 11 | 24 | |
| 12 | 64 | |
| 13 | 53 | |
| 14 | Le rôle de la protéine virale X dans le cycle infectieuxdes hépadnavirus de mammifères | 2 |
| 15 | 221 | |
| 16 | 47 | |
| 17 | 57 | |
| 18 | 239 | |
| 19 | 54 | |
| 20 | 99 |
About Delphine Sitterlin
Delphine Sitterlin is a scholar working on Hepatology, Epidemiology and Animal Science and Zoology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Respiratory viral infections research (6 papers) and Hepatitis C virus research (6 papers). The work is most often cited by research in Hepatology (183 citations), Epidemiology (555 citations) and Virology (56 citations). Delphine Sitterlin has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Catherine Transy, Anne Dejean, Jacob-S. Seeler, Agnès Marchio, Pierre Tiollais, Françoise Bergametti, Jan M. A. van Deursen, Xiaosheng Wu, João Rodrigues and Angela Bachi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.