Éric Diesis

436 citations
20 papers · 369 · h-index 10

Impact in

Papers in

Éric Diesis

20 papers receiving 356 citations

Peers

Éric Diesis
Comparison fields: 5 of 65
  • Hepatology 114
  • Virology 29
  • Radiology, Nuclear Medicine and Imaging 62
  • Epidemiology 88
  • Molecular Biology 183
Replace Takuya Umehara with:
Takuya Umehara Japan
Julie Claudinon Germany
Sergio Hernández Chile
Laurent Bellon United States
Dorothea Sizmann Switzerland
Andreas Bohne-Lang Germany
Lionel Imbert France
T D Heath United Kingdom
Sophie Vichier‐Guerre France
Éric Diesis relative to Takuya Umehara Japan Takuya Umehara's profile →
Citations per field
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Takuya Umehara · 1×
Citations per year

Countries citing papers authored by Éric Diesis

Since Specialization
Citations

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

Fields of papers citing papers by Éric Diesis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Diesis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Diesis Line = papers co-authored together Éric Diesis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200980
2 198970
3 201059
4 199329
5 199521
6 201020
7 199420
8 202118
9 199710
10 19909
11 20067
12 20227
13
Induction of antibodies against the Plasmodium falciparum p126 antigen in non-responder H-2b and partial-responder H-2d mice using synthetic peptides.
19975
14 20094
15 19983
16 20252
17 19912
18 20101
19 19941
20 19921

About Éric Diesis

Éric Diesis is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Virology and Organic Chemistry, having authored 20 papers that have together received 369 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Chemical Synthesis and Analysis (5 papers), HIV Research and Treatment (4 papers), Protein Structure and Dynamics (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Analytical Chemistry and Chromatography (3 papers), Click Chemistry and Applications (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Hepatology (114 citations), Virology (29 citations), Radiology, Nuclear Medicine and Imaging (62 citations), Epidemiology (88 citations) and Molecular Biology (183 citations). Éric Diesis has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Aurélien Tartar, J. C. Gesquière, M. T. Cung, François Pénin, Roland Montserret, Darius Moradpour, Hubert E. Blum, Vincent Raussens, Naveen Arora and Jean‐Marie Ruysschaert. Their work appears in journals such as Journal of Virology, Vaccine, Journal of Biological Chemistry, Journal of Chromatography A and Immunopharmacology.

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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