M. Vaiman

2.8k total citations
83 papers, 1.9k citations indexed

About

M. Vaiman is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, M. Vaiman has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Genetics and 18 papers in Immunology. Recurrent topics in M. Vaiman's work include Microbial infections and disease research (13 papers), T-cell and B-cell Immunology (13 papers) and Genetic and phenotypic traits in livestock (11 papers). M. Vaiman is often cited by papers focused on Microbial infections and disease research (13 papers), T-cell and B-cell Immunology (13 papers) and Genetic and phenotypic traits in livestock (11 papers). M. Vaiman collaborates with scholars based in France, Morocco and United States. M. Vaiman's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Arteriosclerosis Thrombosis and Vascular Biology and European Journal of Biochemistry.

In The Last Decade

M. Vaiman

83 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Vaiman France 27 722 669 510 274 271 83 1.9k
M R Brandon Australia 31 392 0.5× 1.6k 2.3× 556 1.1× 201 0.7× 133 0.5× 77 3.0k
Anne Eugster United States 24 527 0.7× 442 0.7× 586 1.1× 117 0.4× 95 0.4× 78 1.7k
Ernest Bailey United States 25 776 1.1× 340 0.5× 433 0.8× 167 0.6× 49 0.2× 93 1.7k
Yaofeng Zhao China 31 440 0.6× 1.3k 1.9× 1.2k 2.4× 179 0.7× 92 0.3× 123 2.8k
S. Lazáry Switzerland 23 350 0.5× 547 0.8× 238 0.5× 90 0.3× 179 0.7× 85 1.7k
B. J. Sheahan Ireland 29 322 0.4× 425 0.6× 436 0.9× 170 0.6× 146 0.5× 92 2.3k
Giuseppe Borzacchiello Italy 28 439 0.6× 324 0.5× 577 1.1× 69 0.3× 457 1.7× 102 2.3k
M J Lawman United States 27 255 0.4× 706 1.1× 300 0.6× 206 0.8× 127 0.5× 62 2.1k
K. Perk Israel 21 373 0.5× 289 0.4× 232 0.5× 341 1.2× 36 0.1× 99 1.4k
B A Spalholz United States 11 887 1.2× 399 0.6× 707 1.4× 188 0.7× 73 0.3× 14 1.8k

Countries citing papers authored by M. Vaiman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of M. Vaiman

This figure shows the co-authorship network connecting the top 25 collaborators of M. Vaiman. A scholar is included among the top collaborators of M. Vaiman 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 M. Vaiman. M. Vaiman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chardon, P., et al.. (2001). Sequence of the swine major histocompatibility complex region containing all non‐classical class I genes. Tissue Antigens. 57(1). 55–65. 58 indexed citations
2.
Chardon, Patrick, Christine Renard, Claire Rogel Gaillard, & M. Vaiman. (2000). The porcine Major Histocompatibility Complex and related paralogous regions: a review. Genetics Selection Evolution. 32(2). 109–28. 27 indexed citations
3.
Gaillard, Claire Rogel, et al.. (1999). Construction of a swine BAC library: application to the characterization and mapping of porcine type C endoviral elements. Cytogenetic and Genome Research. 85(3-4). 205–211. 127 indexed citations
4.
Vaiman, M., et al.. (1998). Porcine major histocompatibility complex. Revue Scientifique et Technique de l OIE. 17(1). 95–107. 38 indexed citations
5.
Gaillard, Claire Rogel, H. Hayes, P. Coullin, P. Chardon, & M. Vaiman. (1997). Swine centromeric DNA repeats revealed by primed in situ (PRINS) labeling. Cytogenetic and Genome Research. 79(1-2). 79–84. 18 indexed citations
6.
Gaillard, Claire Rogel, Christine Renard, P. Coullin, et al.. (1997). Construction of a swine YAC library allowing an efficient recovery of unique and centromeric repeated sequences. Mammalian Genome. 8(3). 186–192. 35 indexed citations
7.
Garrido, Juan J., Y. Lahbib‐Mansais, Claudine Geffrotin, M. Yerle, & M. Vaiman. (1995). Localization of the tenascin-C gene to pig Chromosome 1. Mammalian Genome. 6(3). 221–221. 3 indexed citations
8.
Chardon, P., et al.. (1995). Dinucleotide repeat polymorphism at the porcine TNFA locus. Animal Genetics. 26(5). 366–367. 2 indexed citations
9.
Geffrotin, Claudine, et al.. (1995). Distinct Tissue Distribution in Pigs of Tenascin-X and Tenascin-C Transcripts. European Journal of Biochemistry. 231(1). 83–92. 5 indexed citations
10.
Nuñes, Mark E., et al.. (1994). Characterization of six new loci within the swine major histocompatibility complex class III region. Mammalian Genome. 5(10). 616–622. 13 indexed citations
11.
Milan, D., M. Yerle, Annette Schmitz, et al.. (1993). A PCR-based method to amplify DNA with random primers: determining the chromosomal content of porcine flow-karyotype peaks by chromosome painting. Cytogenetic and Genome Research. 62(2-3). 139–141. 23 indexed citations
12.
Yerle, M., et al.. (1993). Isolation of four HSP70 genes in the pig and localization on Chromosomes 7 and 14. Mammalian Genome. 4(5). 247–251. 26 indexed citations
13.
Andrés, Damián de, et al.. (1991). Mapping and genetic organization of the TNF genes in the swine Mhc. Immunogenetics. 34(4). 257–260. 19 indexed citations
14.
Geffrotin, Claudine, Christine Renard, P. Chardon, & M. Vaiman. (1991). Marked genetic polymorphism of the swine steroid 21‐hydroxylase gene, and its location between the SLA class I and class II regions. Animal Genetics. 22(4). 311–322. 17 indexed citations
15.
Renard, Christine, B. Kristensen, Y. Bouquet, et al.. (1990). Swine lymphocyte alloantigens (SLA) class I serology and genetics in Belgian Landrace and Pietrain breeds. Animal Genetics. 21(1). 59–68. 1 indexed citations
16.
Renard, Christine & M. Vaiman. (1989). Possible relationships between SLA and porcine reproduction. annales de biologie animale biochimie biophysique. 29(5). 569–576. 26 indexed citations
17.
Kristensen, B., et al.. (1988). Joint Report of the First International Comparison Test on Swine Lymphocyte Alloantigens (SLA). Animal Genetics. 19(1). 63–72. 57 indexed citations
18.
Guérin, G., Maud Bertaud, P. Chardon, et al.. (1987). Molecular genetic analysis of the major histocompatibility complex in an ELA typed horse family. Animal Genetics. 18(4). 323–336. 11 indexed citations
19.
Rothschild, Max F., et al.. (1986). Swine lymphocyte antigen (SLA) haplotype effects on male genital tract development and androstenone level.. Proceedings of the World Congress on Genetics applied to Livestock Production. 197–202. 5 indexed citations
20.
Capy, Pierre, et al.. (1981). Etude préliminaire des relations entre le complexe majeur d'histocompatibilité (SLA) et des caractères de production chez le porc. Genetics Selection Evolution. 13(4). 441–441. 9 indexed citations

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.

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