Nicolas Blanchard

3.3k total citations · 1 hit paper
54 papers, 2.5k citations indexed

About

Nicolas Blanchard is a scholar working on Immunology, Parasitology and Epidemiology. According to data from OpenAlex, Nicolas Blanchard has authored 54 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 23 papers in Parasitology and 19 papers in Epidemiology. Recurrent topics in Nicolas Blanchard's work include Toxoplasma gondii Research Studies (23 papers), Immunotherapy and Immune Responses (17 papers) and Cytomegalovirus and herpesvirus research (16 papers). Nicolas Blanchard is often cited by papers focused on Toxoplasma gondii Research Studies (23 papers), Immunotherapy and Immune Responses (17 papers) and Cytomegalovirus and herpesvirus research (16 papers). Nicolas Blanchard collaborates with scholars based in France, United States and Argentina. Nicolas Blanchard's co-authors include Claire Hivroz, Nilabh Shastri, Céline Dumont, Graça Raposo, Danielle Lankar, Armelle Régnault, Florence Faure, Federico Gonzãlez, Ellen A. Robey and Vincenzo Di Bartolo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Nicolas Blanchard

51 papers receiving 2.5k citations

Hit Papers

TCR Activation of Human T Cells Induces the Production of... 2002 2026 2010 2018 2002 100 200 300 400 500

Peers

Nicolas Blanchard
Comparison fields: 5 of 94
  • Immunology 1.2k
  • Molecular Biology 1.0k
  • Epidemiology 558
  • Parasitology 536
  • Cancer Research 262
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Citations per field, relative to Nicolas Blanchard
Nicolas Blanchard · 1×
Citations per year, relative to Nicolas Blanchard
Nicolas Blanchard · 1×

Countries citing papers authored by Nicolas Blanchard

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Blanchard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Blanchard

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Blanchard. A scholar is included among the top collaborators of Nicolas Blanchard 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 Nicolas Blanchard. Nicolas Blanchard 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
# Work Indexed citations
1 0
2 0
3 0
4 7
5 13
6 9
7 15
8 6
9 9
10 18
11 38
12 9
13 28
14 22
15 74
16 13
17 50
18 66
19
TCR Activation of Human T Cells Induces the Production of Exosomes Bearing the TCR/CD3/ζ Complex breakdown →
554
20 14

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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