M Gobet

679 citations
7 papers · 569 · h-index 5

Impact in

  • Genetics top 5%
    • Diabetes and associated disorders
    • Virus-based gene therapy research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Heat shock proteins research 1
    • Muscle Physiology and Disorders 1
    • Virus-based gene therapy research 2
    • Diabetes and associated disorders 1

M Gobet

6 papers receiving 526 citations

Peers

M Gobet
Comparison fields: 5 of 63
  • Genetics 327
  • Immunology 214
  • Endocrinology, Diabetes and Metabolism 98
  • Gastroenterology 18
  • Surgery 126
Replace D K Didier with:
D K Didier United States
Claire Landry Belgium
Lisa Schubert United States
L. Schenning Sweden
Fleur François United States
Jonathan Massey United Kingdom
Joyce A. Schroer United States
E Palmer United States
Gay Kitchener United Kingdom
Lori S. Palley United States
M Gobet relative to D K Didier United States D K Didier's profile →
Citations per field
00.5×2.6×
D K Didier · 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 17 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

7 of 7 papers shown
#Work
1 1990270
2 1984191
3
Nucleotide sequence and structural organization of the human FMS proto-oncogene.
198946
4 198341
5 200318
6
Typing for HLA DQ using oligonucleotidic probes.
19902
7
[Homochromatographic analysis of 70 S RNA extracted from murine oncornavirus].
19731

About M Gobet

M Gobet is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 7 papers that have together received 569 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Virus-based gene therapy research (2 papers), Meat and Animal Product Quality (1 paper), Heat shock proteins research (1 paper), Diabetes and associated disorders (1 paper), Muscle Physiology and Disorders (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (327 citations), Immunology (214 citations), Endocrinology, Diabetes and Metabolism (98 citations), Gastroenterology (18 citations) and Surgery (126 citations). M Gobet has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Francis Galibert, Charles J. Sherr, A Hampe, L d'Auriol, J Hors, I Deschamps, L Degos, V. Lepage, I Khalil and Jos Even. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Thermal Biology, Journal of Clinical Investigation 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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