Kim Lewis
Impact in
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria
- Endocrinology top 0.05%
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 51
-
- Escherichia coli research studies 9
- Co-authors
- Amy L. SpoeringMarin VulićAlexander M. KlibanovSlava S. EpsteinIris KerenOlga LomovskayaTobias DörrLawrence Mulcahy
- Journals
- Antimicrobial Agents and Chemotherapy (14 papers)mBio (8 papers)Journal of Bacteriology (7 papers)Proceedings of the National Academy of Sciences (7 papers)Science (3 papers)
- Partner nations
- United StatesAustraliaMexico
In The Last Decade
Kim Lewis
133 papers receiving 20.3k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Molecular Medicine 5.7k
- Endocrinology 2.4k
- Microbiology 2.1k
- Genetics 5.0k
- Infectious Diseases 2.9k
Countries citing papers authored by Kim Lewis
This map shows the geographic impact of Kim Lewis'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 Kim Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Lewis more than expected).
Fields of papers citing papers by Kim Lewis
This network shows the impact of papers produced by Kim Lewis. 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 Kim Lewis. The network helps show where Kim Lewis may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Lewis, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 98 | |
| 7 | 2020 | 14 | |
| 8 | 2020 | 6 | |
| 9 | ATP-Dependent Persister Formation in Escherichia coli Hit paper breakdown → | 2017 | 332 |
| 10 | 2013 | 409 | |
| 11 | 2009 | 264 | |
| 12 | 2009 | 181 | |
| 13 | Mechanism of Persister Formation in Bacteria and Fungi | 2008 | 1 |
| 14 | 2007 | 198 | |
| 15 | 2006 | 230 | |
| 16 | 2006 | 467 | |
| 17 | 2006 | 86 | |
| 18 | 2005 | 123 | |
| 19 | Specialized Persister Cells and the Mechanism of Multidrug Tolerance in Escherichia coli Hit paper breakdown → | 2004 | 672 |
| 20 | 2001 | 62 |
About Kim Lewis
Kim Lewis is a scholar working on Molecular Medicine, Endocrinology, Pharmacology, Aging and Genetics, having authored 135 papers that have together received 20.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (51 papers), Bacterial Genetics and Biotechnology (45 papers), Bacterial biofilms and quorum sensing (23 papers), Microbial Natural Products and Biosynthesis (18 papers), Bacteriophages and microbial interactions (10 papers), Escherichia coli research studies (9 papers), Genomics and Phylogenetic Studies (8 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Molecular Medicine (5.7k citations), Endocrinology (2.4k citations), Microbiology (2.1k citations), Genetics (5.0k citations) and Infectious Diseases (2.9k citations). Kim Lewis has collaborated with scholars based in United States, Australia and Mexico. Frequent co-authors include Amy L. Spoering, Marin Vulić, Alexander M. Klibanov, Slava S. Epstein, Iris Keren, Olga Lomovskaya, Tobias Dörr, Lawrence Mulcahy, Joerg C. Tiller and Frank R. Stermitz. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, mBio, Journal of Bacteriology, Proceedings of the National Academy of Sciences and Science.
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.