Eva Koronakis
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 12
- Endocrinology top 0.5%
- Escherichia coli research studies 8
- Vibrio bacteria research studies 3
- Genetics top 1%
- Bacterial Genetics and Biotechnology 18
- Microbiology top 2%
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 3
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- Clostridium difficile and Clostridium perfringens research 5
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- Lipid Membrane Structure and Behavior 3
- Protein Structure and Dynamics 2
- Co-authors
- Vassilis KoronakisColin HughesAndrew SharffBen F. LuisiEvert BokmaMartyn F. SymmonsJeyanthy EswaranMatthew K. Higgins
- Journals
- Molecular Microbiology (6 papers)Proceedings of the National Academy of Sciences (5 papers)The EMBO Journal (2 papers)
- Partner nations
- United KingdomSouth SudanUnited States
In The Last Decade
Eva Koronakis
22 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Medicine 1.3k
- Endocrinology 694
- Genetics 1.3k
- Microbiology 212
- Oncology 493
Countries citing papers authored by Eva Koronakis
This map shows the geographic impact of Eva Koronakis'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 Eva Koronakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Koronakis more than expected).
Fields of papers citing papers by Eva Koronakis
This network shows the impact of papers produced by Eva Koronakis. 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 Eva Koronakis. The network helps show where Eva Koronakis may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Eva Koronakis, 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 | 2011 | 64 | |
| 2 | 2009 | 228 | |
| 3 | 2007 | 113 | |
| 4 | 2006 | 49 | |
| 5 | 2004 | 213 | |
| 6 | 2004 | 122 | |
| 7 | 2004 | 161 | |
| 8 | 2002 | 69 | |
| 9 | Crystal structure of the bacterial membrane protein TolC central to multidrug efflux and protein exportbreakdown → | 2000 | 856 |
| 10 | 2000 | 18 | |
| 11 | 1997 | 100 | |
| 12 | 1995 | 65 | |
| 13 | 1993 | 80 | |
| 14 | 1993 | 1 | |
| 15 | 1992 | 23 | |
| 16 | 1992 | 15 | |
| 17 | 1991 | 84 | |
| 18 | 1991 | 59 | |
| 19 | 1989 | 195 | |
| 20 | 1988 | 41 |
About Eva Koronakis
Eva Koronakis is a scholar working on Molecular Medicine, Endocrinology and Genetics, having authored 22 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Antibiotic Resistance in Bacteria (12 papers), Escherichia coli research studies (8 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Vibrio bacteria research studies (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Endocrinology (694 citations) and Genetics (1.3k citations). Eva Koronakis has collaborated with scholars based in United Kingdom, South Sudan and United States. Frequent co-authors include Vassilis Koronakis, Colin Hughes, Andrew Sharff, Ben F. Luisi, Evert Bokma, Martyn F. Symmons, Jeyanthy Eswaran, Matthew K. Higgins, Michael Cross and B. W. Senior. Their work appears in journals such as Molecular Microbiology, Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Bacteriology and FEBS Letters.
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.