Eric Neau
Impact in
- Genetics top 2%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
- Genetics 10
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 10
- Estrogen and related hormone effects 2
- Co-authors
- Joost P. Schanstra (18 shared papers)Jean‐Loup Bascands (17 shared papers)Denis Calise (9 shared papers)Christiane Pécher (5 shared papers)Julie Klein (10 shared papers)Jean‐Pierre Girolami (5 shared papers)Michael Bäder (5 shared papers)José M. López‐Novoa (3 shared papers)
In The Last Decade
Eric Neau
22 papers receiving 814 citations
Peers
Comparison fields: 5 of 64
- Genetics 314
- Nephrology 116
- Physiology 52
- Cardiology and Cardiovascular Medicine 164
- Hematology 77
Countries citing papers authored by Eric Neau
This map shows the geographic impact of Eric Neau'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 Neau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Neau more than expected).
Fields of papers citing papers by Eric Neau
This network shows the impact of papers produced by Eric Neau. 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 Neau. The network helps show where Eric Neau may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Neau, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 163 | |
| 2 | 2002 | 129 | |
| 3 | 2002 | 115 | |
| 4 | 2002 | 99 | |
| 5 | 2008 | 52 | |
| 6 | 2002 | 46 | |
| 7 | 2010 | 39 | |
| 8 | 2015 | 28 | |
| 9 | 2009 | 25 | |
| 10 | 2007 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2009 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2006 | 11 | |
| 15 | 2003 | 11 | |
| 16 | 1995 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2015 | 8 | |
| 19 | 1997 | 7 | |
| 20 | 2006 | 7 |
About Eric Neau
Eric Neau is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Nephrology and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 835 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Renin-Angiotensin System Studies (4 papers), Renal Diseases and Glomerulopathies (3 papers), Mast cells and histamine (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Renal and Vascular Pathologies (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Genetics (314 citations), Nephrology (116 citations), Physiology (52 citations), Cardiology and Cardiovascular Medicine (164 citations) and Hematology (77 citations). Eric Neau has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include Joost P. Schanstra, Jean‐Loup Bascands, Denis Calise, Christiane Pécher, Julie Klein, Jean‐Pierre Girolami, Michael Bäder, José M. López‐Novoa, Jean Sébastien Saulnier‐Blache and Jerold Chun. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Clinical Investigation, Journal of the American Society of Nephrology, Experimental Biology and Medicine and The FASEB Journal.
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.