Marion Sevajol

704 total citations · 1 hit paper
3 papers, 450 citations indexed

About

Marion Sevajol is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine and Virology. According to data from OpenAlex, Marion Sevajol has authored 3 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Virology. Recurrent topics in Marion Sevajol's work include Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Immunology Research (1 paper). Marion Sevajol is often cited by papers focused on Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Immunology Research (1 paper). Marion Sevajol collaborates with scholars based in France. Marion Sevajol's co-authors include Lorenzo Subissi, Isabelle Imbert, Étienne Decroly, Bruno Canard, François Ferrón, Laure Gluais, G. Bricogne, Thi-Tuyet-Nhung Le, Clemens Vonrhein and Nicolas Papageorgiou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Virus Research and Acta Crystallographica Section D Biological Crystallography.

In The Last Decade

Marion Sevajol

3 papers receiving 441 citations

Hit Papers

Structural and molecular basis of mismatch correction and... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Marion Sevajol
Comparison fields: 5 of 62
  • Infectious Diseases 355
  • Molecular Biology 139
  • Animal Science and Zoology 66
  • Cardiology and Cardiovascular Medicine 56
  • Computational Theory and Mathematics 49
Replace Yunxiang Yang with:
Yunxiang Yang China
Ji Ge China
Yucen Huang China
Jennifer Gribble United States
Zhihui Jia China
Keisuke Nakagawa Japan
Min-Han Lin Taiwan
Peng-Nien Huang Taiwan
Priscila Sutto‐Ortiz France
Yunxiang Yang China View profile →
Citations per field, relative to Marion Sevajol
Marion Sevajol · 1×
Citations per year, relative to Marion Sevajol
Marion Sevajol · 1×

Countries citing papers authored by Marion Sevajol

Since Specialization
Citations

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

Fields of papers citing papers by Marion Sevajol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Sevajol

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

All Works

3 of 3 papers shown
# Work Indexed citations
1
Structural and molecular basis of mismatch correction and ribavirin excision from coronavirus RNA breakdown →
267
2 154
3 29

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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