Bruno Martin
- Immunology top 1%
- Agronomy and Crop Science top 1%
- Animal Science and Zoology top 1%
- Molecular Biology
- Genetics top 5%
- Co-authors
- Marc VeldhoenBrigitta StockingerKeiji HirotaJ. DanielBruno LucasHelena HelmbyChristoph WilhelmJan Buer
- Topics
- Ruminant Nutrition and Digestive Physiology (23 papers)Immune Cell Function and Interaction (20 papers)T-cell and B-cell Immunology (19 papers)
In The Last Decade
Bruno Martin
85 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Immunology 2.3k
- Agronomy and Crop Science 518
- Animal Science and Zoology 508
- Molecular Biology 495
- Genetics 400
Countries citing papers authored by Bruno Martin
This map shows the geographic impact of Bruno Martin'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 Bruno Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Martin more than expected).
Fields of papers citing papers by Bruno Martin
This network shows the impact of papers produced by Bruno Martin. 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 Bruno Martin. The network helps show where Bruno Martin may publish in the future.
Co-authorship network of co-authors of Bruno Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Martin. A scholar is included among the top collaborators of Bruno Martin 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 Bruno Martin. Bruno Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 22 | |
| 5 | 61 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | 18 | |
| 9 | 51 | |
| 10 | 43 | |
| 11 | 1 | |
| 12 | Methane output and rumen microbiota in dairy cows in response to long-term supplementation with linseed or rapeseed of grass silage- or pasture-based diets | 4 |
| 13 | Interleukin-17-Producing γδ T Cells Selectively Expand in Response to Pathogen Products and Environmental Signalsbreakdown → | 679 |
| 14 | 69 | |
| 15 | 11 | |
| 16 | Transforming growth factor-β 'reprograms' the differentiation of T helper 2 cells and promotes an interleukin 9–producing subsetbreakdown → | 904 |
| 17 | 85 | |
| 18 | 77 | |
| 19 | Use of terpene profiles in dairy produce to trace the diet of dairy cows. | 6 |
| 20 | 70 |
About Bruno Martin
Bruno Martin is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Immunology, having authored 87 papers that have together received 4.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (23 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (19 papers). The work is most often cited by research in Immunology (2.3k citations), Agronomy and Crop Science (518 citations) and Animal Science and Zoology (508 citations). Bruno Martin has collaborated with scholars based in France, Italy and Morocco. Frequent co-authors include Marc Veldhoen, Brigitta Stockinger, Keiji Hirota, J. Daniel, Bruno Lucas, Helena Helmby, Christoph Wilhelm, Jan Buer, Catherine Uyttenhove and Astrid M. Westendorf. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.
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.