F. Gavini

3.2k citations
80 papers · 2.4k · h-index 28

Impact in

Papers in

F. Gavini

77 papers receiving 2.2k citations

Peers

F. Gavini
Comparison fields: 5 of 123
  • Endocrinology 469
  • Molecular Medicine 260
  • Food Science 693
  • Microbiology 20
  • Biotechnology 231
Replace Vilma A. Stanisich with:
Vilma A. Stanisich Australia
D. Izard France
Mohammad Katouli Australia
Claire Bertelli Switzerland
Chantal Bizet France
Vyacheslav Chetvernin United States
Frances W. Brenner United States
J. A. E. FARROW United Kingdom
Wai‐Fong Yin Malaysia
Rial D. Rolfe United States
F. Gavini relative to Vilma A. Stanisich Australia Vilma A. Stanisich's profile →
Citations per field
00.5×1.5×2.2×
Vilma A. Stanisich · 1×
Citations per year

Countries citing papers authored by F. Gavini

Since Specialization
Citations

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

Fields of papers citing papers by F. Gavini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989292
2 2004135
3 2006105
4 200797
5 200282
6 197981
7 199179
8 200577
9 200177
10 198173
11 200166
12 198758
13 198854
14 199751
15 198147
16 198345
17 200644
18 200742
19 199340
20 198639

About F. Gavini

F. Gavini is a scholar working on Molecular Biology, Endocrinology, Food Science, Ecology and Molecular Medicine, having authored 80 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enterobacteriaceae and Cronobacter Research (28 papers), Genomics and Phylogenetic Studies (21 papers), Probiotics and Fermented Foods (20 papers), Microbial Community Ecology and Physiology (12 papers), Antibiotic Resistance in Bacteria (10 papers), Plant Pathogenic Bacteria Studies (9 papers), Bacteriophages and microbial interactions (6 papers) and Gut microbiota and health (6 papers). The work is most often cited by research in Endocrinology (469 citations), Molecular Medicine (260 citations), Food Science (693 citations), Microbiology (20 citations) and Biotechnology (231 citations). F. Gavini has collaborated with scholars based in France, Belgium and Morocco. Frequent co-authors include D. Izard, H Leclerc, K. Kersters, J. De Ley, Joris Mergaert, Christel Neut, Christine Mielcarek, Christine Faille, P.A. Trinel and H Beerens. Their work appears in journals such as Systematic and Applied Microbiology, Journal of Clinical Microbiology, Canadian Journal of Microbiology, Journal of Food Protection and International Journal of Food 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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