Kevin Gozzi

551 citations
18 papers · 341 · h-index 11

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 8
    • CRISPR and Genetic Engineering 6
    • RNA and protein synthesis mechanisms 4
    • Bacillus and Francisella bacterial research 1
    • Bacterial Genetics and Biotechnology 14

Kevin Gozzi

17 papers receiving 340 citations

Peers

Kevin Gozzi
Comparison fields: 5 of 61
  • Molecular Medicine 32
  • Endocrinology 32
  • Genetics 105
  • Ecology 92
  • Molecular Biology 232
Replace Gili Rosenberg with:
Gili Rosenberg Israel
Caitlin Sande Canada
Roman A. Sutormin Russia
José Á. Ruiz-Masó Spain
Clémentine Dressaire France
Ana Yepes Germany
Ameer Elfarash Egypt
Jason E. Heindl United States
Richard Horler United Kingdom
Sophie E. Irving United Kingdom
Kevin Gozzi relative to Gili Rosenberg Israel Gili Rosenberg's profile →
Citations per field
00.5×3.8×
Gili Rosenberg · 1×
Citations per year

Countries citing papers authored by Kevin Gozzi

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Gozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201577
2 201751
3 202140
4 201830
5 201719
6 201618
7 202317
8 202216
9 202214
10 201714
11 201910
12 201710
13 20199
14 20218
15 20236
16 20251
17 20171
18 20250

About Kevin Gozzi

Kevin Gozzi is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Food Science, having authored 18 papers that have together received 341 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Bacterial biofilms and quorum sensing (8 papers), CRISPR and Genetic Engineering (6 papers), Bacteriophages and microbial interactions (5 papers), RNA and protein synthesis mechanisms (4 papers), Antibiotic Resistance in Bacteria (3 papers), Probiotics and Fermented Foods (3 papers) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Molecular Medicine (32 citations), Endocrinology (32 citations), Genetics (105 citations), Ecology (92 citations) and Molecular Biology (232 citations). Kevin Gozzi has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Yunrong Chai, Yun Chen, Fang Yan, Michael T. Laub, Yiyang Yu, Jian-Hua Guo, Carly Ching, Moshe Shemesh, Raul Salinas and Maria A. Schumacher. Their work appears in journals such as Journal of Bacteriology, npj Biofilms and Microbiomes, PLoS ONE, Genes & Development and PLoS Biology.

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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