M. Gelé
Impact in
- Agronomy and Crop Science top 5%
- Ruminant Nutrition and Digestive Physiology
- Milk Quality and Mastitis in Dairy Cows
- Reproductive Physiology in Livestock
- Animal Science and Zoology top 5%
- Effects of Environmental Stressors on Livestock
- Meat and Animal Product Quality
Papers in
-
- Milk Quality and Mastitis in Dairy Cows 6
- Genetics 8
- Genetic and phenotypic traits in livestock 6
- Digestive system and related health 2
- Co-authors
- Marion Boutinaud (4 shared papers)Fabienne Le Provost (4 shared papers)Mickaël Brochard (4 shared papers)Hélène Soyeurt (1 shared paper)Pierre Dardenne (2 shared papers)Frédéric Colinet (1 shared paper)Andreas Werner (2 shared papers)Frédéric Dehareng (2 shared papers)
In The Last Decade
M. Gelé
14 papers receiving 327 citations
Peers
Comparison fields: 5 of 52
- Agronomy and Crop Science 212
- Animal Science and Zoology 143
- Genetics 197
- Analytical Chemistry 44
- Food Science 44
Countries citing papers authored by M. Gelé
This map shows the geographic impact of M. Gelé'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 M. Gelé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gelé more than expected).
Fields of papers citing papers by M. Gelé
This network shows the impact of papers produced by M. Gelé. 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 M. Gelé. The network helps show where M. Gelé may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Gelé, 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 | 2016 | 111 | |
| 2 | 2013 | 74 | |
| 3 | 2021 | 54 | |
| 4 | 2017 | 27 | |
| 5 | 2016 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2014 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | Predicting the risk of ketosis using mid infrared spectrometry. | 2015 | 2 |
| 13 | REPROSCOPE: the observatory of cattle reproductive performances in France. | 2019 | 1 |
| 14 | Mid-infrared prediction of beta-hydroxybutyrate, acetone, and citrate contents in milk | 2015 | 1 |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About M. Gelé
M. Gelé is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Food Science and Analytical Chemistry, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Meat and Animal Product Quality (5 papers), Spectroscopy and Chemometric Analyses (3 papers), Effects of Environmental Stressors on Livestock (2 papers), Digestive system and related health (2 papers), Animal Diversity and Health Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Agronomy and Crop Science (212 citations), Animal Science and Zoology (143 citations), Genetics (197 citations), Analytical Chemistry (44 citations) and Food Science (44 citations). M. Gelé has collaborated with scholars based in France, Belgium and Italy. Frequent co-authors include Marion Boutinaud, Fabienne Le Provost, Mickaël Brochard, Hélène Soyeurt, Pierre Dardenne, Frédéric Colinet, Andreas Werner, Frédéric Dehareng, Nicolas Gengler and Clément Grelet. Their work appears in journals such as Journal of Dairy Science, Scientific Reports, BMC Genomics, Journal of Animal Science and Molecular Omics.
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.