Eric Pédruzzi

2.4k citations
33 papers · 1.9k indexed · h-index 19

Impact in

  • Immunology top 5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
    • Antioxidant Activity and Oxidative Stress

Papers in

    • S100 Proteins and Annexins 5
    • Sphingolipid Metabolism and Signaling 2
    • Immune Response and Inflammation 10
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
    • Immune cells in cancer 3

Eric Pédruzzi

31 papers receiving 1.9k citations

Peers

Eric Pédruzzi
Comparison fields: 5 of 108
  • Immunology 823
  • Biochemistry 132
  • Cancer Research 262
  • Neurology 106
  • Cell Biology 207
Replace Jun Guo with:
Jun Guo China
Mario A. Vermeer Netherlands
Fabeha Fazal United States
Suk‐Hwan Baek South Korea
Akira Yuo Japan
Taras Afonyushkin Austria
Deneys R. van der Westhuyzen United States
C Kunsch United States
Chiharu Kishimoto Japan
Gernot Schabbauer Austria
Eric Pédruzzi relative to Jun Guo China Jun Guo's profile →
Citations per field
00.5×1.6×
Jun Guo · 1×
Citations per year

Countries citing papers authored by Eric Pédruzzi

Since Specialization
Citations

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

Fields of papers citing papers by Eric Pédruzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004362
2 2010244
3 2005196
4 1998195
5 1999104
6 200599
7 201082
8 201170
9 200669
10 200268
11 200745
12 201440
13 201240
14 199337
15 200934
16 200532
17 199327
18 199821
19 199319
20 199518

About Eric Pédruzzi

Eric Pédruzzi is a scholar working on Molecular Biology, Immunology, Physiology, Genetics and Cell Biology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), S100 Proteins and Annexins (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Immune cells in cancer (3 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Immunology (823 citations), Biochemistry (132 citations), Cancer Research (262 citations), Neurology (106 citations) and Cell Biology (207 citations). Eric Pédruzzi has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Marie‐Anne Gougerot‐Pocidalo, Éric Ogier‐Denis, Jamel El‐Benna, Carole Elbim, Michèle Fay, Cécile Guichard, Pham My‐Chan Dang, Marcelle Bens, Axel Périanin and Fanny Daniel. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology, FEBS Letters, Blood and Cellular Signalling.

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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