Andrew Camilli
- Endocrinology top 0.01%
- Vibrio bacteria research studies 101
- Escherichia coli research studies 24
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 20
- Microbiology top 0.1%
- Immunology top 0.5%
- Aquaculture disease management and microbiota 47
- Biotechnology top 0.2%
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- Bacteriophages and microbial interactions 34
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- Pneumonia and Respiratory Infections 30
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- Salmonella and Campylobacter epidemiology 23
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- Bacterial biofilms and quorum sensing 20
- Co-authors
- David L. HavaTim van OpijnenAnna D. TischlerBonnie L. BasslerRita TamayoDavid W. LazinskiSusan M. ButlerD. Scott Merrell
- Journals
- Journal of Bacteriology (25 papers)Infection and Immunity (25 papers)Molecular Microbiology (20 papers)
- Partner nations
- United StatesBangladeshChile
In The Last Decade
Andrew Camilli
180 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Endocrinology 6.0k
- Molecular Medicine 1.8k
- Microbiology 1.7k
- Immunology 2.7k
- Biotechnology 1.1k
Countries citing papers authored by Andrew Camilli
This map shows the geographic impact of Andrew Camilli'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 Andrew Camilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Camilli more than expected).
Fields of papers citing papers by Andrew Camilli
This network shows the impact of papers produced by Andrew Camilli. 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 Andrew Camilli. The network helps show where Andrew Camilli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Camilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 16 | |
| 10 | 2018 | 138 | |
| 11 | 2018 | 10 | |
| 12 | 2018 | 13 | |
| 13 | 2016 | 35 | |
| 14 | 2016 | 14 | |
| 15 | 2014 | 149 | |
| 16 | 2013 | 33 | |
| 17 | 2012 | 1 | |
| 18 | 2012 | 178 | |
| 19 | 2009 | 9 | |
| 20 | 1999 | 92 |
About Andrew Camilli
Andrew Camilli is a scholar working on Endocrinology, Molecular Medicine, Immunology, Microbiology and Food Science, having authored 182 papers that have together received 16.0k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (101 papers), Aquaculture disease management and microbiota (47 papers), Bacteriophages and microbial interactions (34 papers), Pneumonia and Respiratory Infections (30 papers), Escherichia coli research studies (24 papers), Salmonella and Campylobacter epidemiology (23 papers), Bacterial biofilms and quorum sensing (20 papers) and Antibiotic Resistance in Bacteria (20 papers). The work is most often cited by research in Endocrinology (6.0k citations), Molecular Medicine (1.8k citations), Microbiology (1.7k citations), Immunology (2.7k citations) and Biotechnology (1.1k citations). Andrew Camilli has collaborated with scholars based in United States, Bangladesh and Chile. Frequent co-authors include David L. Hava, Tim van Opijnen, Anna D. Tischler, Bonnie L. Bassler, Rita Tamayo, David W. Lazinski, Susan M. Butler, D. Scott Merrell, Stephen B. Calderwood and Daniel A. Portnoy. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Molecular Microbiology, Proceedings of the National Academy of Sciences and mBio.
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.