M. Vaiman
- Microbiology top 2%
- Microbial infections and disease research 13
- Immunology top 5%
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 9
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies 10
- Genetics top 2%
- Genetic and phenotypic traits in livestock 11
- Genetic Mapping and Diversity in Plants and Animals 8
- Animal Genetics and Reproduction 8
- Agronomy and Crop Science top 2%
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- Xenotransplantation and immune response 7
- Co-authors
- Christine RenardP. ChardonPatrick ChardonClaudine GeffrotinClaire Rogel GaillardMarek KirszenbaumAlain BillaultHubert H. Levéziel
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
M. Vaiman
83 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 88
- Microbiology 271
- Immunology 669
- Animal Science and Zoology 274
- Genetics 722
- Agronomy and Crop Science 251
Countries citing papers authored by M. Vaiman
This map shows the geographic impact of M. Vaiman'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. Vaiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Vaiman more than expected).
Fields of papers citing papers by M. Vaiman
This network shows the impact of papers produced by M. Vaiman. 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. Vaiman. The network helps show where M. Vaiman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Vaiman, 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 | 2001 | 58 | |
| 2 | 2000 | 27 | |
| 3 | 1999 | 127 | |
| 4 | 1998 | 38 | |
| 5 | 1997 | 18 | |
| 6 | 1997 | 35 | |
| 7 | 1995 | 3 | |
| 8 | 1995 | 2 | |
| 9 | 1995 | 5 | |
| 10 | 1994 | 13 | |
| 11 | 1993 | 23 | |
| 12 | 1993 | 26 | |
| 13 | 1991 | 19 | |
| 14 | 1991 | 17 | |
| 15 | 1990 | 1 | |
| 16 | 1989 | 26 | |
| 17 | 1988 | 57 | |
| 18 | 1987 | 11 | |
| 19 | Swine lymphocyte antigen (SLA) haplotype effects on male genital tract development and androstenone level. | 1986 | 5 |
| 20 | 1981 | 9 |
About M. Vaiman
M. Vaiman is a scholar working on Microbiology, Animal Science and Zoology, Immunology, Genetics and Agronomy and Crop Science, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial infections and disease research (13 papers), T-cell and B-cell Immunology (13 papers), Genetic and phenotypic traits in livestock (11 papers), Animal Virus Infections Studies (10 papers), Immune Cell Function and Interaction (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Animal Genetics and Reproduction (8 papers) and Xenotransplantation and immune response (7 papers). The work is most often cited by research in Microbiology (271 citations), Immunology (669 citations), Animal Science and Zoology (274 citations), Genetics (722 citations) and Agronomy and Crop Science (251 citations). M. Vaiman has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Christine Renard, P. Chardon, Patrick Chardon, Claudine Geffrotin, Claire Rogel Gaillard, Marek Kirszenbaum, Alain Billault, Hubert H. Levéziel, Laurence Cattolico and Martin Hessing. Their work appears in journals such as Animal Genetics, Immunogenetics, Mammalian Genome, Transplantation and International Journal of Immunogenetics.
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.