Chantal Rabourdin‐Combe

6.5k citations
94 papers · 5.0k indexed · h-index 39
Topics
Virology and Viral Diseases (25 papers)Immunotherapy and Immune Responses (24 papers)Monoclonal and Polyclonal Antibodies Research (22 papers)
Partner nations
FranceSwitzerlandRussia

In The Last Decade

Chantal Rabourdin‐Combe

93 papers receiving 4.9k citations

Peers

Chantal Rabourdin‐Combe
Comparison fields: 5 of 108
  • Immunology 2.7k
  • Epidemiology 1.8k
  • Molecular Biology 1.4k
  • Infectious Diseases 734
  • Genetics 589
Replace Jan Pravsgaard Christensen with:
Jan Pravsgaard Christensen Denmark
M. Kathryn Liszewski United States
Hanspeter Pircher Switzerland
Joshy Jacob United States
Reinhold Schirmbeck Germany
Gillis R. Otten United States
Carla Oseroff United States
Peter Aichele Germany
Ross M. Kedl United States
Amos Panet Israel
Chantal Rabourdin‐Combe relative to Jan Pravsgaard Christensen Denmark Jan Pravsgaard Christensen's profile →
Citations per field
00.5×1.5×
Jan Pravsgaard Christensen · 1×
Citations per year

Countries citing papers authored by Chantal Rabourdin‐Combe

Since Specialization
Citations

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

Fields of papers citing papers by Chantal Rabourdin‐Combe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chantal Rabourdin‐Combe. 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 Chantal Rabourdin‐Combe. The network helps show where Chantal Rabourdin‐Combe may publish in the future.

Co-authorship network of co-authors of Chantal Rabourdin‐Combe

This figure shows the co-authorship network connecting the top 25 collaborators of Chantal Rabourdin‐Combe. A scholar is included among the top collaborators of Chantal Rabourdin‐Combe 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 Chantal Rabourdin‐Combe. Chantal Rabourdin‐Combe 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
#WorkIndexed citations
1 87
2 27
3 30
4 56
5 158
6 86
7 8
8 124
9 155
10 69
11 106
12 58
13 140
14 137
15 15
16 17
17 32
18 23
19 21
20 45

About Chantal Rabourdin‐Combe

Chantal Rabourdin‐Combe is a scholar working on Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 94 papers that have together received 5.0k indexed citations. Recurring topics across this work include Virology and Viral Diseases (25 papers), Immunotherapy and Immune Responses (24 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). The work is most often cited by research in Immunology (2.7k citations), Virology (367 citations) and Epidemiology (1.8k citations). Chantal Rabourdin‐Combe has collaborated with scholars based in France, Switzerland and Russia. Frequent co-authors include Christine Servet‐Delprat, Olga Azocar, Pierre‐Olivier Vidalain, Pierre Rivailler, Patrick Bertolino, Anne Astier, Vincent Lotteau, Wolf H. Fridman, Denis Gerlier and Marie-Claude Trescol-Biémont. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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