Patrick Bavoil

739 citations
12 papers · 677 · h-index 11

Impact in

Papers in

    • Reproductive tract infections research 4
    • Bacterial Genetics and Biotechnology 7

Patrick Bavoil

12 papers receiving 582 citations

Peers

Patrick Bavoil
Comparison fields: 5 of 68
  • Microbiology 322
  • Endocrinology 75
  • Molecular Medicine 40
  • Genetics 220
  • Epidemiology 185
Replace Algis Anilionis with:
Algis Anilionis United States
John S. Swartley United States
C. C. Storey United Kingdom
Peter M. Power Australia
George W. Liechti United States
Rubens López Spain
Michael J. Cieslewicz United States
C Hammack United States
Ole Herman Ambur Norway
Frances O. Sottnek United States
Patrick Bavoil relative to Algis Anilionis United States Algis Anilionis's profile →
Citations per field
00.5×2×3×4×5×
Algis Anilionis · 1×
Citations per year

Countries citing papers authored by Patrick Bavoil

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Bavoil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Patrick Bavoil, 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 Patrick Bavoil Line = papers co-authored together Patrick Bavoil links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1984222
2 1977140
3 199365
4 198057
5 198154
6 199147
7 197727
8 199321
9 202213
10 197813
11 198313
12 20185

About Patrick Bavoil

Patrick Bavoil is a scholar working on Microbiology, Genetics, Molecular Medicine, Endocrinology and Molecular Biology, having authored 12 papers that have together received 677 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (7 papers), Reproductive tract infections research (4 papers), RNA and protein synthesis mechanisms (4 papers), Escherichia coli research studies (2 papers), Bacteriophages and microbial interactions (2 papers), Urinary Tract Infections Management (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Microbiology (322 citations), Endocrinology (75 citations), Molecular Medicine (40 citations), Genetics (220 citations) and Epidemiology (185 citations). Patrick Bavoil has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Hiroshi Nikaido, A C Ohlin, J Schachter, Kaspar von Meyenburg, Maurice J. Hofnung, Virginia L. Clark, Byron E. Batteiger, Jin‐Chung Chen, Lee S.F. Soderberg and R G Rank. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Molecular Microbiology, Infection and Immunity and FEBS Letters.

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.

Explore authors with similar magnitude of impact