Sven D. Willger
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Molecular Medicine top 5%
Papers in
-
- Bacterial biofilms and quorum sensing 8
- Fungal and yeast genetics research 5
-
- Antifungal resistance and susceptibility 11
- Co-authors
- Nora Grahl (11 shared papers)Robert A. Cramer (7 shared papers)Deborah A. Hogan (11 shared papers)Srisombat Puttikamonkul (4 shared papers)Christopher B. Lawrence (2 shared papers)Kwang‐Hyung Kim (2 shared papers)Martin Bard (1 shared paper)Robert J. Barbuch (1 shared paper)
- Journals
- PLoS Pathogens (4 papers)Molecular Microbiology (3 papers)PLoS ONE (2 papers)mSphere (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
Sven D. Willger
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Infectious Diseases 639
- Molecular Medicine 81
- Endocrinology 75
- Pharmacology 202
- Molecular Biology 837
Countries citing papers authored by Sven D. Willger
This map shows the geographic impact of Sven D. Willger'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 Sven D. Willger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven D. Willger more than expected).
Fields of papers citing papers by Sven D. Willger
This network shows the impact of papers produced by Sven D. Willger. 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 Sven D. Willger. The network helps show where Sven D. Willger may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven D. Willger, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 279 | |
| 2 | 2011 | 146 | |
| 3 | 2014 | 141 | |
| 4 | 2014 | 121 | |
| 5 | 2010 | 103 | |
| 6 | 2016 | 91 | |
| 7 | 2015 | 91 | |
| 8 | 2012 | 82 | |
| 9 | 2019 | 74 | |
| 10 | 2009 | 54 | |
| 11 | 2009 | 51 | |
| 12 | 2014 | 50 | |
| 13 | 2012 | 49 | |
| 14 | 2020 | 42 | |
| 15 | 2009 | 41 | |
| 16 | 2015 | 40 | |
| 17 | 2019 | 23 | |
| 18 | 2016 | 21 | |
| 19 | 2022 | 19 | |
| 20 | 2016 | 19 |
About Sven D. Willger
Sven D. Willger is a scholar working on Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Medicine and Pharmacology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (11 papers), Bacterial biofilms and quorum sensing (8 papers), Fungal and yeast genetics research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Cystic Fibrosis Research Advances (5 papers), Fungal Biology and Applications (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Infectious Diseases (639 citations), Molecular Medicine (81 citations), Endocrinology (75 citations), Pharmacology (202 citations) and Molecular Biology (837 citations). Sven D. Willger has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Nora Grahl, Robert A. Cramer, Deborah A. Hogan, Srisombat Puttikamonkul, Christopher B. Lawrence, Kwang‐Hyung Kim, Martin Bard, Robert J. Barbuch, James B. Burritt and Colleen E. Harty. Their work appears in journals such as PLoS Pathogens, Molecular Microbiology, PLoS ONE, mSphere and PLoS Genetics.
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.