O. Argillier
Impact in
- Agronomy and Crop Science top 1%
- Crop Yield and Soil Fertility
- Bioenergy crop production and management
- Ruminant Nutrition and Digestive Physiology
- Plant Science top 2%
- Wheat and Barley Genetics and Pathology
- Genetics and Plant Breeding
Papers in
-
- Genetics and Plant Breeding 17
- Wheat and Barley Genetics and Pathology 14
- Genetics 17
- Genetic Mapping and Diversity in Plants and Animals 14
- Genetic and phenotypic traits in livestock 6
- Co-authors
- Yves Y. Barrière (17 shared papers)Erhard Ebmeyer (12 shared papers)Viktor Korzun (12 shared papers)Martin W. Ganal (12 shared papers)Sonja Kollers (11 shared papers)Jie Ling (10 shared papers)Jörg Plieske (10 shared papers)Marion S. Röder (11 shared papers)
In The Last Decade
O. Argillier
35 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 44
- Agronomy and Crop Science 421
- Plant Science 1.1k
- Genetics 652
- Biomedical Engineering 294
- Biotechnology 50
Countries citing papers authored by O. Argillier
This map shows the geographic impact of O. Argillier'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 O. Argillier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. Argillier more than expected).
Fields of papers citing papers by O. Argillier
This network shows the impact of papers produced by O. Argillier. 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 O. Argillier. The network helps show where O. Argillier may publish in the future.
Co-authors
The 25 scholars most cited alongside O. Argillier, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 133 | |
| 2 | 2004 | 130 | |
| 3 | 2014 | 122 | |
| 4 | 2015 | 102 | |
| 5 | 2000 | 97 | |
| 6 | 1993 | 89 | |
| 7 | 2001 | 85 | |
| 8 | 2014 | 82 | |
| 9 | 2005 | 61 | |
| 10 | 2014 | 60 | |
| 11 | 2020 | 51 | |
| 12 | 2013 | 47 | |
| 13 | 2014 | 47 | |
| 14 | 2000 | 46 | |
| 15 | 1997 | 44 | |
| 16 | 2017 | 43 | |
| 17 | 2016 | 39 | |
| 18 | 1994 | 38 | |
| 19 | 1995 | 38 | |
| 20 | 1996 | 36 |
About O. Argillier
O. Argillier is a scholar working on Plant Science, Genetics, Agronomy and Crop Science, Molecular Biology and Biomedical Engineering, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (17 papers), Wheat and Barley Genetics and Pathology (14 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Crop Yield and Soil Fertility (9 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Genetic and phenotypic traits in livestock (6 papers), Bioenergy crop production and management (5 papers) and Plant Gene Expression Analysis (4 papers). The work is most often cited by research in Agronomy and Crop Science (421 citations), Plant Science (1.1k citations), Genetics (652 citations), Biomedical Engineering (294 citations) and Biotechnology (50 citations). O. Argillier has collaborated with scholars based in France, Germany and Morocco. Frequent co-authors include Yves Y. Barrière, Erhard Ebmeyer, Viktor Korzun, Martin W. Ganal, Sonja Kollers, Jie Ling, Jörg Plieske, Marion S. Röder, Valérie Mechin and Maike Hinze. Their work appears in journals such as Journal of the Science of Food and Agriculture, Theoretical and Applied Genetics, Frontiers in Plant Science, PLoS ONE and Crop Science.
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.