Éric Daugas

15.9k citations
116 papers · 9.8k indexed · 6 hit papers · h-index 38

Impact in

Papers in

Éric Daugas

108 papers receiving 9.6k citations

Hit Papers

Heat-shock protein 70 antagonizes apoptosis-inducing factor 2001 · 714 citations
71419962026200620162505007501000

Peers

Éric Daugas
Comparison fields: 5 of 144
  • Nephrology 1.2k
  • Immunology 2.1k
  • Molecular Biology 5.6k
  • Rheumatology 1.2k
  • Virology 288
Replace Toshiyuki Miyata with:
Toshiyuki Miyata Japan
John Savill United Kingdom
Gérard Lambeau France
Klaus Resch Germany
Flemming Pociot Denmark
Roy L. Silverstein United States
Hermann‐Josef Gröne Germany
John S. Parks United States
Detlef Schlöndorff Germany
Johan van der Vlag Netherlands
Éric Daugas relative to Toshiyuki Miyata Japan Toshiyuki Miyata's profile →
Citations per field
00.5×3.6×
Toshiyuki Miyata · 1×
Citations per year

Countries citing papers authored by Éric Daugas

Since Specialization
Citations

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

Fields of papers citing papers by Éric Daugas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Daugas, 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 Daugas Line = papers co-authored together Éric Daugas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20243
4 20240
5 20240
6 20232
7 20233
8 20237
9 20234
10 20225
11 202017
12 201729
13 201654
14 201473
15 201119
16 2010274
17 200773
18 20065
19 200012
20
Bcl-2 inhibits the mitochondrial release of an apoptogenic protease.
Hit paper breakdown →
1996964

About Éric Daugas

Éric Daugas is a scholar working on Nephrology, Transplantation, Rheumatology, Immunology and Hepatology, having authored 116 papers that have together received 9.8k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (36 papers), Systemic Lupus Erythematosus Research (33 papers), Cell death mechanisms and regulation (15 papers), Vasculitis and related conditions (15 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Mast cells and histamine (11 papers), Renal Transplantation Outcomes and Treatments (11 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers). The work is most often cited by research in Nephrology (1.2k citations), Immunology (2.1k citations), Molecular Biology (5.6k citations), Rheumatology (1.2k citations) and Virology (288 citations). Éric Daugas has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Guido Kroemer, Naoufal Zamzami, Santos A. Susín, L Ravagnan, Josef Penninger, Karine F. Ferri, Maria Castedo, Tak W. Mak, Nathanaël Larochette and Théano Irinopoulou. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, The Journal of Experimental Medicine, Clinical Kidney Journal and American Journal of Kidney Diseases.

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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