M. Vaiman
Impact in
- Microbiology top 2%
- Microbial infections and disease research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Genetics 23
- Genetic and phenotypic traits in livestock 11
- Genetic Mapping and Diversity in Plants and Animals 8
- Animal Genetics and Reproduction 8
- Co-authors
- Christine Renard (22 shared papers)P. Chardon (20 shared papers)Patrick Chardon (13 shared papers)Claudine Geffrotin (13 shared papers)Claire Rogel Gaillard (6 shared papers)Marek Kirszenbaum (7 shared papers)Alain Billault (1 shared paper)Hubert H. Levéziel (2 shared papers)
- Journals
- Animal Genetics (8 papers)Mammalian Genome (7 papers)Immunogenetics (7 papers)Transplantation (6 papers)Genomics (4 papers)
- Partner nations
- FranceMoroccoUnited States
In The Last Decade
M. Vaiman
82 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Microbiology 265
- Immunology 642
- Animal Science and Zoology 265
- Genetics 673
- Agronomy and Crop Science 240
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-authors
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
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 127 | |
| 2 | 1978 | 96 | |
| 3 | 1995 | 81 | |
| 4 | 1970 | 74 | |
| 5 | 2001 | 63 | |
| 6 | 1995 | 61 | |
| 7 | 1995 | 60 | |
| 8 | 1988 | 57 | |
| 9 | 2001 | 57 | |
| 10 | 1993 | 53 | |
| 11 | 1985 | 49 | |
| 12 | 1995 | 47 | |
| 13 | 1987 | 46 | |
| 14 | 1979 | 44 | |
| 15 | Assignment of MHC in swine to chromosome 7 by in situ hybridization and serological typing. | 1984 | 42 |
| 16 | 1982 | 40 | |
| 17 | 1998 | 38 | |
| 18 | 1992 | 38 | |
| 19 | 1997 | 35 | |
| 20 | 1991 | 33 |
About M. Vaiman
M. Vaiman is a scholar working on Molecular Biology, Genetics, Immunology, Animal Science and Zoology and Microbiology, having authored 83 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Microbial infections and disease research (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 (265 citations), Immunology (642 citations), Animal Science and Zoology (265 citations), Genetics (673 citations) and Agronomy and Crop Science (240 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, Martin Hessing and Laurence Cattolico. Their work appears in journals such as Animal Genetics, Mammalian Genome, Immunogenetics, Transplantation and Genomics.
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.