David S. Waugh
Impact in
- Endocrinology top 0.5%
- Molecular Biology top 1%
- RNA and protein synthesis mechanisms
- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
- Genetics 57
- Bacterial Genetics and Biotechnology 34
- Yersinia bacterium, plague, ectoparasites research 25
- Co-authors
- Rachel B. KapustJoseph E. TropeaSreedevi NallamsettyScott CherryKaren M. RoutzahnA.G. EvdokimovBrian AustinXinhua Ji
- Journals
- Protein Expression and Purification (13 papers)Protein Science (12 papers)Journal of Molecular Biology (8 papers)Journal of Biological Chemistry (7 papers)Structure (6 papers)
- Partner nations
- United StatesHungarySwitzerland
In The Last Decade
David S. Waugh
139 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Endocrinology 577
- Molecular Biology 5.8k
- Genetics 1.8k
- Biotechnology 397
- Radiology, Nuclear Medicine and Imaging 1.0k
Countries citing papers authored by David S. Waugh
This map shows the geographic impact of David S. Waugh'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. Waugh 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. Waugh more than expected).
Fields of papers citing papers by David S. Waugh
This network shows the impact of papers produced by David S. Waugh. 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. Waugh. The network helps show where David S. Waugh may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Waugh, 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 | 0 | |
| 2 | 2021 | 27 | |
| 3 | 2016 | 1 | |
| 4 | 2016 | 16 | |
| 5 | 2015 | 37 | |
| 6 | 2015 | 86 | |
| 7 | 2013 | 20 | |
| 8 | 2011 | 17 | |
| 9 | 2010 | 8 | |
| 10 | 2009 | 26 | |
| 11 | 2008 | 22 | |
| 12 | 2008 | 25 | |
| 13 | 2008 | 28 | |
| 14 | 2007 | 91 | |
| 15 | 2006 | 185 | |
| 16 | 2006 | 11 | |
| 17 | 2002 | 29 | |
| 18 | 2002 | 6 | |
| 19 | 2002 | 77 | |
| 20 | 2001 | 186 |
About David S. Waugh
David S. Waugh is a scholar working on Genetics, Endocrinology, Molecular Biology, Pharmacology and Ecology, having authored 140 papers that have together received 7.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (34 papers), Bacteriophages and microbial interactions (28 papers), RNA and protein synthesis mechanisms (25 papers), Yersinia bacterium, plague, ectoparasites research (25 papers), Protein purification and stability (20 papers), Enzyme Structure and Function (19 papers), Protein Tyrosine Phosphatases (18 papers) and Monoclonal and Polyclonal Antibodies Research (17 papers). The work is most often cited by research in Endocrinology (577 citations), Molecular Biology (5.8k citations), Genetics (1.8k citations), Biotechnology (397 citations) and Radiology, Nuclear Medicine and Imaging (1.0k citations). David S. Waugh has collaborated with scholars based in United States, Hungary and Switzerland. Frequent co-authors include Rachel B. Kapust, Joseph E. Tropea, Sreedevi Nallamsetty, Scott Cherry, Karen M. Routzahn, A.G. Evdokimov, Brian Austin, Xinhua Ji, Donald L. Court and József Tőzsér. Their work appears in journals such as Protein Expression and Purification, Protein Science, Journal of Molecular Biology, Journal of Biological Chemistry and Structure.
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.