Eric Neau
Impact in
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
Papers in
- Genetics 11
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 11
- Co-authors
- Jean‐Loup Bascands (17 shared papers)Joost P. Schanstra (18 shared papers)Denis Calise (9 shared papers)Christiane Pécher (5 shared papers)Jean‐Pierre Girolami (5 shared papers)Julie Klein (10 shared papers)Michael Bäder (5 shared papers)José M. López‐Novoa (3 shared papers)
In The Last Decade
Eric Neau
22 papers receiving 809 citations
Peers
Comparison fields: 5 of 67
- Genetics 336
- Nephrology 129
- Physiology 66
- Hematology 99
- Cardiology and Cardiovascular Medicine 188
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 | 128 | |
| 3 | 2002 | 113 | |
| 4 | 2002 | 99 | |
| 5 | 2008 | 52 | |
| 6 | 2002 | 46 | |
| 7 | 2010 | 39 | |
| 8 | 2015 | 28 | |
| 9 | 2009 | 25 | |
| 10 | 2007 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2009 | 16 | |
| 13 | 2017 | 14 | |
| 14 | 1995 | 11 | |
| 15 | 2006 | 11 | |
| 16 | 2003 | 11 | |
| 17 | 2002 | 10 | |
| 18 | 2015 | 8 | |
| 19 | 2006 | 7 | |
| 20 | 1997 | 7 |
About Eric Neau
Eric Neau is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Nephrology and Immunology, having authored 22 papers that have together received 830 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (11 papers), Renin-Angiotensin System Studies (5 papers), Mast cells and histamine (4 papers), Renal Diseases and Glomerulopathies (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Hemophilia Treatment and Research (2 papers), Urticaria and Related Conditions (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Genetics (336 citations), Nephrology (129 citations), Physiology (66 citations), Hematology (99 citations) and Cardiology and Cardiovascular Medicine (188 citations). Eric Neau has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include Jean‐Loup Bascands, Joost P. Schanstra, Denis Calise, Christiane Pécher, Jean‐Pierre Girolami, Julie Klein, Michael Bäder, José M. López‐Novoa, Jean Sébastien Saulnier‐Blache and Philippe Valet. Their work appears in journals such as Journal of Clinical Investigation, Biochemical and Biophysical Research Communications, Journal of the American Society of Nephrology, Scientific Reports and BMC Systems Biology.
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.