Maxime Québatte

835 citations
18 papers · 605 indexed · h-index 14

Impact in

    • Bartonella species infections research
    • Vector-borne infectious diseases
    • Vibrio bacteria research studies

Papers in

    • Bartonella species infections research 11
    • Vector-borne infectious diseases 5
    • Escherichia coli research studies 3

Maxime Québatte

18 papers receiving 601 citations

Peers

Maxime Québatte
Comparison fields: 5 of 56
  • Parasitology 223
  • Endocrinology 96
  • Virology 68
  • Infectious Diseases 126
  • Molecular Medicine 33
Replace Isobel H. Norville with:
Isobel H. Norville United Kingdom
Aurora Marques Cianciarullo Brazil
Hillevi Lindroos Sweden
G L McLaughlin United States
Nadia Schürch Switzerland
Scott Sammons United States
Juan J. Martinez United States
Iain G. Old France
Nurjahan Begum Bangladesh
C. Hemsley United Kingdom
Maxime Québatte relative to Isobel H. Norville United Kingdom Isobel H. Norville's profile →
Citations per field
00.5×4.3×
Isobel H. Norville · 1×
Citations per year

Countries citing papers authored by Maxime Québatte

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Québatte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maxime Québatte, 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 Maxime Québatte Line = papers co-authored together Maxime Québatte links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20242
2 202214
3 20198
4 201924
5 201746
6 201760
7 201735
8 201733
9 20177
10 201427
11 201354
12 201318
13 201233
14 201172
15 201094
16 201013
17 201053
18 200512

About Maxime Québatte

Maxime Québatte is a scholar working on Parasitology, Endocrinology, Virology, Small Animals and Genetics, having authored 18 papers that have together received 605 indexed citations. Recurring topics across this work include Bartonella species infections research (11 papers), Vector-borne infectious diseases (5 papers), Bacteriophages and microbial interactions (4 papers), Viral Infections and Vectors (3 papers), Brucella: diagnosis, epidemiology, treatment (3 papers), Escherichia coli research studies (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Burkholderia infections and melioidosis (2 papers). The work is most often cited by research in Parasitology (223 citations), Endocrinology (96 citations), Virology (68 citations), Infectious Diseases (126 citations) and Molecular Medicine (33 citations). Maxime Québatte has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Christoph Dehio, Philipp Engel, Gunnar F. Schröder, Ralf Schuelein, Alexander Harms, Christian H. Ahrens, Ulrich Omasits, Daniel J. Stekhoven, Mark D. Robinson and Michaela Dehio. Their work appears in journals such as Genome Research, Proceedings of the National Academy of Sciences, Cellular Microbiology, mSphere and Molecular Microbiology.

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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