Eric Botella
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bacterial biofilms and quorum sensing
Papers in
- Genetics 13
- Bacterial Genetics and Biotechnology 13
-
- Escherichia coli research studies 1
- Co-authors
- Kevin M. Devine (10 shared papers)David Noone (8 shared papers)Letal I. Salzberg (7 shared papers)Paola Bisicchia (3 shared papers)Karsten Hokamp (4 shared papers)Sebastian Hübner (3 shared papers)Leagh G. Powell (2 shared papers)Dörte Becher (2 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Molecular Microbiology (3 papers)Microbiology (2 papers)Science (2 papers)Methods in microbiology (1 paper)
- Partner nations
- IrelandFranceNetherlands
In The Last Decade
Eric Botella
14 papers receiving 1.3k citations
Eric Botella's Hit Papers
Peers
Comparison fields: 5 of 54
- Genetics 810
- Molecular Biology 522
- Biotechnology 46
- Aging 4
- Pharmacology 30
Countries citing papers authored by Eric Botella
This map shows the geographic impact of Eric Botella'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 Eric Botella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Botella more than expected).
Fields of papers citing papers by Eric Botella
This network shows the impact of papers produced by Eric Botella. 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 Eric Botella. The network helps show where Eric Botella may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Botella, 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 | Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis Hit paper breakdown → | 2012 | 727 |
| 2 | 2012 | 226 | |
| 3 | 2010 | 52 | |
| 4 | 2010 | 38 | |
| 5 | 2012 | 38 | |
| 6 | 2014 | 36 | |
| 7 | 2011 | 35 | |
| 8 | 2015 | 28 | |
| 9 | 2012 | 22 | |
| 10 | 2010 | 21 | |
| 11 | 2013 | 19 | |
| 12 | 2014 | 13 | |
| 13 | 2006 | 3 | |
| 14 | 2012 | 3 |
About Eric Botella
Eric Botella is a scholar working on Genetics, Endocrinology, Small Animals, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Escherichia coli research studies (1 paper) and Brucella: diagnosis, epidemiology, treatment (1 paper). The work is most often cited by research in Genetics (810 citations), Molecular Biology (522 citations), Biotechnology (46 citations), Aging (4 citations) and Pharmacology (30 citations). Eric Botella has collaborated with scholars based in Ireland, France and Netherlands. Frequent co-authors include Kevin M. Devine, David Noone, Letal I. Salzberg, Paola Bisicchia, Karsten Hokamp, Sebastian Hübner, Leagh G. Powell, Dörte Becher, Haike Antelmann and Efthimia E. Lioliou. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, Microbiology, Science and Methods in 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.