Ivan Erill
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
-
- Genomics and Phylogenetic Studies 32
- RNA and protein synthesis mechanisms 9
- Bacterial biofilms and quorum sensing 5
- Ecology 30
- Bacteriophages and microbial interactions 23
- Microbial Community Ecology and Physiology 6
- Co-authors
- Jordi Barbé (22 shared papers)Susana Campoy (16 shared papers)Neus Sanchez-Alberola (5 shared papers)Sandra Da Re (2 shared papers)Didier Mazel (2 shared papers)Bruno González‐Zorn (2 shared papers)Émilie Guérin (2 shared papers)Guillaume Cambray (2 shared papers)
- Journals
- Journal of Bacteriology (7 papers)Nucleic Acids Research (6 papers)BMC Bioinformatics (4 papers)Bioinformatics (2 papers)Microbiology (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Ivan Erill
80 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 142
- Molecular Medicine 507
- Endocrinology 302
- Genetics 608
- Ecology 523
- Pollution 205
Countries citing papers authored by Ivan Erill
This map shows the geographic impact of Ivan Erill'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 Ivan Erill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Erill more than expected).
Fields of papers citing papers by Ivan Erill
This network shows the impact of papers produced by Ivan Erill. 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 Ivan Erill. The network helps show where Ivan Erill may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Erill, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 364 | |
| 2 | 2007 | 284 | |
| 3 | 2011 | 102 | |
| 4 | 2003 | 81 | |
| 5 | 2013 | 80 | |
| 6 | 2010 | 74 | |
| 7 | 2006 | 70 | |
| 8 | 2015 | 63 | |
| 9 | 2003 | 58 | |
| 10 | 2013 | 54 | |
| 11 | 2007 | 50 | |
| 12 | 2018 | 48 | |
| 13 | 2004 | 47 | |
| 14 | 2019 | 45 | |
| 15 | 2004 | 41 | |
| 16 | 2017 | 40 | |
| 17 | 2006 | 36 | |
| 18 | 2004 | 35 | |
| 19 | 2009 | 33 | |
| 20 | 2020 | 31 |
About Ivan Erill
Ivan Erill is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Molecular Medicine, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (32 papers), Bacteriophages and microbial interactions (23 papers), Bacterial Genetics and Biotechnology (18 papers), RNA and protein synthesis mechanisms (9 papers), Antibiotic Resistance in Bacteria (6 papers), Microbial Community Ecology and Physiology (6 papers), Vibrio bacteria research studies (5 papers) and Bacterial biofilms and quorum sensing (5 papers). The work is most often cited by research in Molecular Medicine (507 citations), Endocrinology (302 citations), Genetics (608 citations), Ecology (523 citations) and Pollution (205 citations). Ivan Erill has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Jordi Barbé, Susana Campoy, Neus Sanchez-Alberola, Sandra Da Re, Didier Mazel, Bruno González‐Zorn, Émilie Guérin, Guillaume Cambray, Pilar Cortés and Jordi Aguiló. Their work appears in journals such as Journal of Bacteriology, Nucleic Acids Research, BMC Bioinformatics, Bioinformatics and 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.