T. Perpoint

1.0k citations
17 papers · 313 · h-index 9

Impact in

  • Microbiology top 10%
    • Microbial infections and disease research
    • Antimicrobial Resistance in Staphylococcus
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Fungal Infections and Studies 2
    • Tuberculosis Research and Epidemiology 3
    • Antimicrobial Resistance in Staphylococcus 3
    • Clostridium difficile and Clostridium perfringens research 2

T. Perpoint

17 papers receiving 306 citations

Peers

T. Perpoint
Comparison fields: 5 of 65
  • Microbiology 55
  • Infectious Diseases 134
  • Microbiology 4
  • Virology 25
  • Applied Microbiology and Biotechnology 10
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T. Perpoint relative to Mwila Kabwe Australia Mwila Kabwe's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by T. Perpoint

Since Specialization
Citations

This map shows the geographic impact of T. Perpoint'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 T. Perpoint with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Perpoint more than expected).

Fields of papers citing papers by T. Perpoint

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202291
2 200747
3 200839
4 200627
5 201426
6 200617
7 200812
8 200411
9 201010
10 20178
11 20188
12 20154
13 20134
14 20154
15 20153
16 20171
17 20111

About T. Perpoint

T. Perpoint is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology and Microbiology, having authored 17 papers that have together received 313 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Streptococcal Infections and Treatments (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Actinomycetales infections and treatment (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Fungal Infections and Studies (2 papers), Infectious Diseases and Tuberculosis (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Microbiology (55 citations), Infectious Diseases (134 citations), Microbiology (4 citations), Virology (25 citations) and Applied Microbiology and Biotechnology (10 citations). T. Perpoint has collaborated with scholars based in France, Morocco and Belgium. Frequent co-authors include Tristan Ferry, Gérard Lina, François Vandenesch, Jérôme Étienne, D. Peyramond, I. Mohammédi, Frédéric Laurent, Claude-Alexandre Gustave, Jean‐Paul Pirnay and Sarah Djebara. Their work appears in journals such as Clinical Infectious Diseases, Clinical Microbiology and Infection, European Journal of Clinical Microbiology & Infectious Diseases, Nature Communications and Journal of Clinical 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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