Jean‐Michel Michno
- Plant Science top 5%
- Plant Virus Research Studies 7
- Soybean genetics and cultivation 6
- Legume Nitrogen Fixing Symbiosis 4
- Plant nutrient uptake and metabolism 3
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- CRISPR and Genetic Engineering 5
- Plant tissue culture and regeneration 5
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- Genetic Mapping and Diversity in Plants and Animals 4
- Genetic and phenotypic traits in livestock 3
Jean‐Michel Michno
22 papers receiving 717 citations
Peers
Comparison fields: 5 of 53
- Plant Science 570
- Business and International Management 24
- Molecular Biology 440
- Biotechnology 42
- Genetics 123
Countries citing papers authored by Jean‐Michel Michno
This map shows the geographic impact of Jean‐Michel Michno'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 Jean‐Michel Michno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Michel Michno more than expected).
Fields of papers citing papers by Jean‐Michel Michno
This network shows the impact of papers produced by Jean‐Michel Michno. 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 Jean‐Michel Michno. The network helps show where Jean‐Michel Michno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Michel Michno, 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 | 2025 | 4 | |
| 2 | 2021 | 10 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 7 | |
| 5 | 2020 | 5 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 20 | |
| 8 | 2018 | 111 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 37 | |
| 11 | 2016 | 44 | |
| 12 | 2016 | 45 | |
| 13 | 2015 | 3 | |
| 14 | 2015 | 135 | |
| 15 | 2015 | 18 | |
| 16 | 2014 | 49 | |
| 17 | 2014 | 55 | |
| 18 | 2013 | 19 | |
| 19 | Gene expression profiling by cDNA-AFLP and identification of differentially expressed transcripts of bovine pituitary gland in growing bulls of dairy breeds. | 2012 | 4 |
| 20 | Study of SNP C > T polymorphism within the candidate genes for dairy and beef traits in a panel of selected cattle breeds. | 2008 | 6 |
About Jean‐Michel Michno
Jean‐Michel Michno is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 22 papers that have together received 737 indexed citations. Recurring topics across this work include Plant Virus Research Studies (7 papers), Soybean genetics and cultivation (6 papers), CRISPR and Genetic Engineering (5 papers), Plant tissue culture and regeneration (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Plant Science (570 citations), Business and International Management (24 citations) and Molecular Biology (440 citations). Jean‐Michel Michno has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include Robert M. Stupar, Shaun J. Curtin, Benjamin W. Campbell, Chad L. Myers, Robert Schaefer, Adrian O. Stec, Junqi Liu, Thomas J. Y. Kono, Xiaobo Wang and Owen A. Hoekenga. Their work appears in journals such as BMC Biotechnology, G3 Genes Genomes Genetics, The Plant Genome, Field Crops Research and GM crops & food.
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.