Eric Pinaud

2.8k citations
36 papers · 2.1k indexed · 1 hit paper · h-index 22
Topics
T-cell and B-cell Immunology (29 papers)Immune Cell Function and Interaction (21 papers)Monoclonal and Polyclonal Antibodies Research (15 papers)

In The Last Decade

Eric Pinaud

36 papers receiving 2.1k citations

Hit Papers

Transcription-targeted DNA deamination by the AID antibod...20032026201020182003200400600

Peers

Eric Pinaud
Comparison fields: 5 of 63
  • Immunology 1.5k
  • Molecular Biology 990
  • Radiology, Nuclear Medicine and Imaging 340
  • Epidemiology 192
  • Oncology 189
Replace Hong Ming Shen with:
Hong Ming Shen United States
Keisuke Horikawa Australia
Kevin T. Merrell United States
Sergio Roa United States
Toru Fukazawa Japan
Yosho Fukita Japan
Carol F. Webb United States
Niklas Feldhahn United States
Alain Vallé France
Thach Mai United States
Eric Pinaud relative to Hong Ming Shen United States Hong Ming Shen's profile →
Citations per field
00.5×9.4×
Hong Ming Shen · 1×
Citations per year

Countries citing papers authored by Eric Pinaud

Since Specialization
Citations

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

Fields of papers citing papers by Eric Pinaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Pinaud

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Pinaud. A scholar is included among the top collaborators of Eric Pinaud 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 Eric Pinaud. Eric Pinaud 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 1
2 2
3 32
4 7
5 3
6 14
7 24
8 63
9 25
10 5
11 89
12 109
13 32
14 68
15 51
16 162
17 172
18 29
19 32
20 44

About Eric Pinaud

Eric Pinaud is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (29 papers), Immune Cell Function and Interaction (21 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). The work is most often cited by research in Immunology (1.5k citations), Genetics (188 citations) and Radiology, Nuclear Medicine and Imaging (340 citations). Eric Pinaud has collaborated with scholars based in France, United States and Austria. Frequent co-authors include Michel Cogné, Frederick W. Alt, Katrin F. Chua, Ming Tian, Jayanta Chaudhuri, Yves Denizot, Christelle Vincent‐Fabert, Thomas Perlot, Rémi Fiancette and Christine Chauveau. Their work appears in journals such as Nature, Science and Cell.

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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