Emmanuèle Barras

3.3k citations
32 papers · 2.6k indexed · 1 hit paper · h-index 21
Topics
Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (17 papers)Immunodeficiency and Autoimmune Disorders (10 papers)

In The Last Decade

Emmanuèle Barras

31 papers receiving 2.6k citations

Hit Papers

MicroRNA-155 modulates the interleukin-1 signaling pathwa...20092026201420202009200400600

Peers

Emmanuèle Barras
Comparison fields: 5 of 94
  • Molecular Biology 1.3k
  • Immunology 1.3k
  • Cancer Research 551
  • Genetics 522
  • Oncology 196
Replace I-hsin Su with:
I-hsin Su Singapore
Lukas T. Jeker United States
Miguel R. Campanero Spain
Joan M. Robbins United States
Mira Jeong United States
Nienke van der Stoep Netherlands
Amy S. Weinmann United States
David Frendewey United States
Frances A. High United States
Nelly Olova United Kingdom
Emmanuèle Barras relative to I-hsin Su Singapore I-hsin Su's profile →
Citations per field
00.5×1.5×
I-hsin Su · 1×
Citations per year

Countries citing papers authored by Emmanuèle Barras

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuèle Barras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuèle Barras

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuèle Barras. A scholar is included among the top collaborators of Emmanuèle Barras 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 Emmanuèle Barras. Emmanuèle Barras 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 46
2 46
3 1
4
MicroRNA-155 modulates the interleukin-1 signaling pathway in activated human monocyte-derived dendritic cellsbreakdown →
605
5 31
6 16
7 14
8 54
9 164
10 135
11 9
12 27
13 1
14 63
15 57
16 232
17 163
18 121
19 13
20 12

About Emmanuèle Barras

Emmanuèle Barras is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (17 papers) and Immunodeficiency and Autoimmune Disorders (10 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (551 citations) and Molecular Biology (1.3k citations). Emmanuèle Barras has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Walter Reith, Bernard Mach, Bénédicte Durand, Isabelle Dunand-Sauthier, Manuel A. S. Santos, Philippe Pierre, Patrícia M. Pereira, Maurizio Ceppi, Madeleine Zufferey and Krzysztof Masternak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

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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