André Neau
Impact in
Papers in
- Co-authors
- Yves Amigues F (8 shared papers)Cécile Grohs (4 shared papers)Hubert H. Levéziel (3 shared papers)Didier Boichard (4 shared papers)Frédérique Cerqueira (3 shared papers)Marie Yvonne M. Y. Boscher (4 shared papers)Rachel Rupp (2 shared papers)Alain Vignal A (7 shared papers)
- Journals
- Genetics Selection Evolution (4 papers)Animal Genetics (3 papers)BMC Genetics (1 paper)Poultry Science (1 paper)BMC Genomics (1 paper)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
André Neau
16 papers receiving 546 citations
Peers
Comparison fields: 5 of 31
- Equine 61
- Genetics 506
- Animal Science and Zoology 48
- Biochemistry 11
- Agronomy and Crop Science 18
Countries citing papers authored by André Neau
This map shows the geographic impact of André 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 André Neau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Neau more than expected).
Fields of papers citing papers by André Neau
This network shows the impact of papers produced by André 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 André Neau. The network helps show where André Neau may publish in the future.
Co-authors
The 25 scholars most cited alongside André 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 221 | |
| 2 | 2005 | 68 | |
| 3 | 2006 | 59 | |
| 4 | 1999 | 46 | |
| 5 | 2003 | 42 | |
| 6 | 2003 | 37 | |
| 7 | 2006 | 30 | |
| 8 | 2003 | 28 | |
| 9 | 2006 | 19 | |
| 10 | 2005 | 8 | |
| 11 | A two-step procedure for fat QTL identification in meat-type chickens | 2002 | 4 |
| 12 | Detection of quantitative trait loci affecting milk production or somatic cell score in three french dairy sheep breeds by partial genotyping on seven chromosomes | 2002 | 2 |
| 13 | Report of the International Equine Gene Mapping Workshop : First linkage map. | 1998 | 1 |
| 14 | 2000 | 1 | |
| 15 | 2000 | 1 | |
| 16 | An initial QTL scan for abdominal fatness and breast muscle weight in broiler chickens. | 2003 | 1 |
About André Neau
André Neau is a scholar working on Genetics, Equine, Food Science, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 16 papers that have together received 568 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Veterinary Equine Medical Research (3 papers) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Equine (61 citations), Genetics (506 citations), Animal Science and Zoology (48 citations), Biochemistry (11 citations) and Agronomy and Crop Science (18 citations). André Neau has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Yves Amigues F, Cécile Grohs, Hubert H. Levéziel, Didier Boichard, Frédérique Cerqueira, Marie Yvonne M. Y. Boscher, Rachel Rupp, Alain Vignal A, Mitsuru Miwa and Francis Minvielle. Their work appears in journals such as Genetics Selection Evolution, Animal Genetics, BMC Genetics, Poultry Science and BMC Genomics.
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.