Pierre‐Guy Marnet
- Agronomy and Crop Science top 0.5%
- Animal Science and Zoology top 1%
- Genetics top 5%
- Small Animals top 0.5%
- Food Science top 2%
- Co-authors
- João Alberto NegrãoB.C. McKusickJ. RushenLene MunksgaardVanessa LollivierJ. LABUSSIÈRECatherine HurtaudJocelyne Guinard-Flament
- Topics
- Milk Quality and Mastitis in Dairy Cows (42 papers)Reproductive Physiology in Livestock (32 papers)Effects of Environmental Stressors on Livestock (23 papers)
In The Last Decade
Pierre‐Guy Marnet
87 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 115
- Agronomy and Crop Science 1.1k
- Animal Science and Zoology 590
- Genetics 562
- Small Animals 523
- Food Science 334
Countries citing papers authored by Pierre‐Guy Marnet
This map shows the geographic impact of Pierre‐Guy Marnet'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 Pierre‐Guy Marnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre‐Guy Marnet more than expected).
Fields of papers citing papers by Pierre‐Guy Marnet
This network shows the impact of papers produced by Pierre‐Guy Marnet. 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 Pierre‐Guy Marnet. The network helps show where Pierre‐Guy Marnet may publish in the future.
Co-authorship network of co-authors of Pierre‐Guy Marnet
This figure shows the co-authorship network connecting the top 25 collaborators of Pierre‐Guy Marnet. A scholar is included among the top collaborators of Pierre‐Guy Marnet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pierre‐Guy Marnet. Pierre‐Guy Marnet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 35 | |
| 10 | 28 | |
| 11 | 26 | |
| 12 | 97 | |
| 13 | 38 | |
| 14 | 25 | |
| 15 | 30 | |
| 16 | 69 | |
| 17 | 24 | |
| 18 | 49 | |
| 19 | 26 | |
| 20 | Influência de um sistema misto de amamentação/ordenha sobre a posterior adaptação a ordenha mecânica exclusiva | 1 |
About Pierre‐Guy Marnet
Pierre‐Guy Marnet is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Small Animals, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (42 papers), Reproductive Physiology in Livestock (32 papers) and Effects of Environmental Stressors on Livestock (23 papers). The work is most often cited by research in Agronomy and Crop Science (1.1k citations), Small Animals (523 citations) and Animal Science and Zoology (590 citations). Pierre‐Guy Marnet has collaborated with scholars based in France, Morocco and Tunisia. Frequent co-authors include João Alberto Negrão, B.C. McKusick, J. Rushen, Lene Munksgaard, Vanessa Lollivier, J. LABUSSIÈRE, Catherine Hurtaud, Jocelyne Guinard-Flament, J. L. Peyraud and Philippe Faverdin. Their work appears in journals such as The Journal of Physical Chemistry B, The Journal of Physiology and Endocrinology.
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.