Daniel V. Zurawski
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 35
- Endocrinology top 0.5%
- Vibrio bacteria research studies 17
- Escherichia coli research studies 15
- Microbiology top 1%
- Antimicrobial Peptides and Activities 5
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 5
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- Bacterial biofilms and quorum sensing 11
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- Bacteriophages and microbial interactions 5
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Christian MelanderRoberta J. MelanderMitchell G. ThompsonMolly K. McLendonDavid W. CraftYuanzheng SiBrendan W. CoreyLarry A. Gallagher
- Journals
- PLoS ONE (2 papers)Applied and Environmental Microbiology (1 paper)Clinical Infectious Diseases (1 paper)
- Partner nations
- United StatesSingaporeThailand
In The Last Decade
Daniel V. Zurawski
59 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 140
- Molecular Medicine 1.1k
- Endocrinology 704
- Applied Microbiology and Biotechnology 118
- Microbiology 328
- Infectious Diseases 351
Countries citing papers authored by Daniel V. Zurawski
This map shows the geographic impact of Daniel V. Zurawski'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 Daniel V. Zurawski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. Zurawski more than expected).
Fields of papers citing papers by Daniel V. Zurawski
This network shows the impact of papers produced by Daniel V. Zurawski. 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 Daniel V. Zurawski. The network helps show where Daniel V. Zurawski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel V. Zurawski, 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 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 43 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 65 | |
| 11 | 2016 | 26 | |
| 12 | 2014 | 19 | |
| 13 | 2014 | 84 | |
| 14 | 2012 | 1 | |
| 15 | 2012 | 197 | |
| 16 | 2012 | 70 | |
| 17 | 2003 | 41 | |
| 18 | 2003 | 20 | |
| 19 | 2000 | 37 | |
| 20 | 2000 | 57 |
About Daniel V. Zurawski
Daniel V. Zurawski is a scholar working on Molecular Medicine, Endocrinology and Microbiology, having authored 60 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (35 papers), Vibrio bacteria research studies (17 papers), Escherichia coli research studies (15 papers), Bacterial biofilms and quorum sensing (11 papers), Antimicrobial Peptides and Activities (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacteriophages and microbial interactions (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Molecular Medicine (1.1k citations), Endocrinology (704 citations) and Applied Microbiology and Biotechnology (118 citations). Daniel V. Zurawski has collaborated with scholars based in United States, Singapore and Thailand. Frequent co-authors include Christian Melander, Roberta J. Melander, Mitchell G. Thompson, Molly K. McLendon, David W. Craft, Yuanzheng Si, Brendan W. Corey, Larry A. Gallagher, Yonas A. Alamneh and Robert K. Ernst. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Clinical Infectious Diseases.
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.