Steve Garvis
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 0.5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Bacterial biofilms and quorum sensing 6
- Epigenetics and DNA Methylation 5
- Food Science 11
- Salmonella and Campylobacter epidemiology 11
- Co-authors
- Michael E. Konkel (8 shared papers)David W. Holden (5 shared papers)Bong Jik Kim (2 shared papers)Carmen R. Beuzón (3 shared papers)Javier Ruiz‐Albert (4 shared papers)Kate E. Unsworth (3 shared papers)Vanessa Rivera‐Amill (2 shared papers)Timothy A. Ryder (2 shared papers)
- Journals
- The EMBO Journal (3 papers)Molecular Microbiology (3 papers)Cellular Microbiology (2 papers)Microbiology (2 papers)Metabolomics (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Steve Garvis
31 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Endocrinology 751
- Food Science 1.1k
- Aging 97
- Molecular Medicine 193
- Infectious Diseases 566
Countries citing papers authored by Steve Garvis
This map shows the geographic impact of Steve Garvis'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 Steve Garvis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Garvis more than expected).
Fields of papers citing papers by Steve Garvis
This network shows the impact of papers produced by Steve Garvis. 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 Steve Garvis. The network helps show where Steve Garvis may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Garvis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 483 | |
| 2 | 1997 | 238 | |
| 3 | 1999 | 210 | |
| 4 | 1999 | 199 | |
| 5 | 2012 | 160 | |
| 6 | 2001 | 99 | |
| 7 | 2005 | 84 | |
| 8 | 2009 | 83 | |
| 9 | 2002 | 63 | |
| 10 | 2019 | 56 | |
| 11 | 2013 | 56 | |
| 12 | 2014 | 44 | |
| 13 | 2014 | 43 | |
| 14 | 1999 | 40 | |
| 15 | 2013 | 39 | |
| 16 | 2002 | 31 | |
| 17 | 2014 | 30 | |
| 18 | 2017 | 28 | |
| 19 | 2014 | 25 | |
| 20 | 2015 | 19 |
About Steve Garvis
Steve Garvis is a scholar working on Molecular Biology, Food Science, Endocrinology, Ecology and Aging, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Vibrio bacteria research studies (10 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Bacteriophages and microbial interactions (7 papers), Antibiotic Resistance in Bacteria (6 papers), Bacterial biofilms and quorum sensing (6 papers), Epigenetics and DNA Methylation (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Endocrinology (751 citations), Food Science (1.1k citations), Aging (97 citations), Molecular Medicine (193 citations) and Infectious Diseases (566 citations). Steve Garvis has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Michael E. Konkel, David W. Holden, Bong Jik Kim, Carmen R. Beuzón, Javier Ruiz‐Albert, Kate E. Unsworth, Vanessa Rivera‐Amill, Timothy A. Ryder, Emmanuel Boucrot and Stéphane Méresse. Their work appears in journals such as The EMBO Journal, Molecular Microbiology, Cellular Microbiology, Microbiology and Metabolomics.
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.