M Schmid

965 citations
49 papers · 730 · h-index 13

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 15
    • Genetic Mapping and Diversity in Plants and Animals 15
    • Diabetes and associated disorders 7
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 6

M Schmid

44 papers receiving 701 citations

Peers

M Schmid
Comparison fields: 5 of 79
  • Virology 79
  • Aging 30
  • Immunology 201
  • Genetics 244
  • Cellular and Molecular Neuroscience 107
Replace Lazaro Lorenzo with:
Lazaro Lorenzo France
Nathalie Bédard Canada
Bernard Conrad Switzerland
Gloria Arriagada Chile
Yufei Xu China
Giuseppe Mameli Italy
Allan Dillner United States
Marie-Anne Germain Canada
Melody E. Clark United States
Ling Kong United States
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Citations per field
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Citations per year

Countries citing papers authored by M Schmid

Since Specialization
Citations

This map shows the geographic impact of M Schmid'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 Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Schmid more than expected).

Fields of papers citing papers by M Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Schmid. 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 Schmid. The network helps show where M Schmid may publish in the future.

Co-authors

The 25 scholars most cited alongside M Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Schmid Line = papers co-authored together M Schmid links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992121
2 199794
3 198266
4 198063
5 199445
6 201738
7 198532
8
HLA-DR genotype risks in seropositive rheumatoid arthritis.
198432
9 198526
10 198723
11 199015
12 202115
13 198415
14 202011
15 202011
16 19789
17 20209
18 20188
19 20197
20 20207

About M Schmid

M Schmid is a scholar working on Genetics, Immunology, Animal Science and Zoology, Molecular Biology and Rheumatology, having authored 49 papers that have together received 730 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (15 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), T-cell and B-cell Immunology (8 papers), Diabetes and associated disorders (7 papers), Animal Nutrition and Physiology (7 papers), Immune Cell Function and Interaction (6 papers), Genetics and Plant Breeding (5 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Virology (79 citations), Aging (30 citations), Immunology (201 citations), Genetics (244 citations) and Cellular and Molecular Neuroscience (107 citations). M Schmid has collaborated with scholars based in Germany, France and Indonesia. Frequent co-authors include Jörn Bennewitz, Laurence Boumsell, J Hors, Hélène Dastot, Marc Busson, Armand Bensussan, J. Périès, Hugues de Thé, F Puvion-Dutilleul and Ali Saı̈b. Their work appears in journals such as Diabetologia, Animal Genetics, Animals, Journal of Virology and Journal of Animal Breeding and Genetics.

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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