David S. Weiss
- Immunology top 0.1%
- Immune Response and Inflammation 9
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria 31
- Endocrinology top 0.2%
- Vibrio bacteria research studies 17
- Escherichia coli research studies 7
- Microbiology top 0.5%
- Molecular Biology top 0.5%
- CRISPR and Genetic Engineering 15
- Bacillus and Francisella bacterial research 14
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- Bacterial Genetics and Biotechnology 18
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- Antibiotics Pharmacokinetics and Efficacy 9
- Co-authors
- Yvette WeinrauchArturo ZychlinskyChristian GoosmannBeatrix FaulerVolker BrinkmannDenise M. MonackSanjeev MariathasanVishva M. Dixit
- Journals
- Nature (3 papers)Science (2 papers)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
David S. Weiss
82 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Immunology 7.8k
- Molecular Medicine 1.4k
- Endocrinology 1.1k
- Microbiology 710
- Molecular Biology 7.0k
Countries citing papers authored by David S. Weiss
This map shows the geographic impact of David S. Weiss'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 David S. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Weiss more than expected).
Fields of papers citing papers by David S. Weiss
This network shows the impact of papers produced by David S. Weiss. 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 David S. Weiss. The network helps show where David S. Weiss may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David S. Weiss, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 24 | |
| 6 | 2021 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2016 | 24 | |
| 9 | 2016 | 165 | |
| 10 | 2015 | 2 | |
| 11 | 2014 | 75 | |
| 12 | 2013 | 161 | |
| 13 | 2013 | 87 | |
| 14 | 2013 | 46 | |
| 15 | 2013 | 33 | |
| 16 | 2012 | 207 | |
| 17 | 2011 | 50 | |
| 18 | 2007 | 42 | |
| 19 | 2005 | 345 | |
| 20 | 2004 | 176 |
About David S. Weiss
David S. Weiss is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 83 papers that have together received 15.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (31 papers), Bacterial Genetics and Biotechnology (18 papers), Vibrio bacteria research studies (17 papers), CRISPR and Genetic Engineering (15 papers), Bacillus and Francisella bacterial research (14 papers), Immune Response and Inflammation (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers) and Escherichia coli research studies (7 papers). The work is most often cited by research in Immunology (7.8k citations), Molecular Medicine (1.4k citations) and Endocrinology (1.1k citations). David S. Weiss has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Yvette Weinrauch, Arturo Zychlinsky, Christian Goosmann, Beatrix Fauler, Volker Brinkmann, Denise M. Monack, Sanjeev Mariathasan, Vishva M. Dixit, Timothy R. Sampson and Jacqueline McBride. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.