M Gobet

680 citations
8 papers · 595 · h-index 5

Impact in

  • Genetics top 10%
    • Diabetes and associated disorders
    • Virus-based gene therapy research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

M Gobet

6 papers receiving 536 citations

Peers

M Gobet
Comparison fields: 5 of 64
  • Genetics 344
  • Immunology 223
  • Endocrinology, Diabetes and Metabolism 111
  • Gastroenterology 18
  • Surgery 137
Replace Robert C. Giles with:
Robert C. Giles United States
Joyce A. Schroer United States
L. Schenning Sweden
Naruhiko Takasawa Japan
E Palmer United States
Gay Kitchener United Kingdom
Paola Corbella Italy
Lorella Maniscalco Italy
Sam Khalouei Canada
Susan Carson United States
M Gobet relative to Robert C. Giles United States Robert C. Giles's profile →
Citations per field
00.5×1.5×2×2.5×
Robert C. Giles · 1×
Citations per year

Countries citing papers authored by M Gobet

Since Specialization
Citations

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

Fields of papers citing papers by M Gobet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M Gobet, 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 Gobet Line = papers co-authored together M Gobet links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1990285
2 1984202
3
Nucleotide sequence and structural organization of the human FMS proto-oncogene.
198945
4 198342
5 200318
6
Typing for HLA DQ using oligonucleotidic probes.
19902
7
[Homochromatographic analysis of 70 S RNA extracted from murine oncornavirus].
19731
8 20150

About M Gobet

M Gobet is a scholar working on Animal Science and Zoology, Cancer Research, Genetics, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 595 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Virus-based gene therapy research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA modifications and cancer (1 paper), Meat and Animal Product Quality (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Animal Virus Infections Studies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Genetics (344 citations), Immunology (223 citations), Endocrinology, Diabetes and Metabolism (111 citations), Gastroenterology (18 citations) and Surgery (137 citations). M Gobet has collaborated with scholars based in France, Slovakia and Brazil. Frequent co-authors include Francis Galibert, Charles J. Sherr, A Hampe, Iman Khalil, Ingeborg Deschamps, L d'Auriol, JACQUES HORS, Violaine Lepage, Laurent Degos and Jos Even. Their work appears in journals such as Journal of Clinical Investigation, Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Thermal Biology and PubMed.

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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