Eric Pédruzzi
Impact in
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
Papers in ⓘ
-
- S100 Proteins and Annexins 5
- Sphingolipid Metabolism and Signaling 2
- Immunology 15
- Immune Response and Inflammation 10
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7
- Immune cells in cancer 3
- Co-authors
- Marie‐Anne Gougerot‐Pocidalo (7 shared papers)Éric Ogier‐Denis (11 shared papers)Jamel El‐Benna (4 shared papers)Carole Elbim (5 shared papers)Michèle Fay (7 shared papers)Cécile Guichard (7 shared papers)Pham My‐Chan Dang (3 shared papers)Marcelle Bens (4 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Gastroenterology (2 papers)FEBS Letters (2 papers)Blood (2 papers)Cellular Signalling (2 papers)
- Partner nations
- FranceGermanyNetherlands
In The Last Decade
Eric Pédruzzi
31 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 108
- Immunology 823
- Biochemistry 132
- Cancer Research 262
- Neurology 106
- Cell Biology 207
Countries citing papers authored by Eric Pédruzzi
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
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.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 362 | |
| 2 | 2010 | 244 | |
| 3 | 2005 | 196 | |
| 4 | 1998 | 195 | |
| 5 | 1999 | 104 | |
| 6 | 2005 | 99 | |
| 7 | 2010 | 82 | |
| 8 | 2011 | 70 | |
| 9 | 2006 | 69 | |
| 10 | 2002 | 68 | |
| 11 | 2007 | 45 | |
| 12 | 2014 | 40 | |
| 13 | 2012 | 40 | |
| 14 | 1993 | 37 | |
| 15 | 2009 | 34 | |
| 16 | 2005 | 32 | |
| 17 | 1993 | 27 | |
| 18 | 1998 | 21 | |
| 19 | 1993 | 19 | |
| 20 | 1995 | 18 |
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.