Dave Stroud
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Glycosylation and Glycoproteins Research 3
- CRISPR and Genetic Engineering 2
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Michael S. Donnenberg (1 shared paper)Divya Rose (1 shared paper)Jeremiah D. Hackett (1 shared paper)Eric L. Buckles (1 shared paper)George F. Mayhew (1 shared paper)David C. Schwartz (1 shared paper)Peter Redford (1 shared paper)Harry L. T. Mobley (1 shared paper)
- Journals
- Genetics (3 papers)Nature (2 papers)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Dave Stroud
13 papers receiving 1.4k citations
Dave Stroud's Hit Papers
Peers
Comparison fields: 5 of 102
- Endocrinology 582
- Aging 117
- Molecular Medicine 181
- Genetics 332
- Molecular Biology 647
Countries citing papers authored by Dave Stroud
This map shows the geographic impact of Dave Stroud'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 Dave Stroud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave Stroud more than expected).
Fields of papers citing papers by Dave Stroud
This network shows the impact of papers produced by Dave Stroud. 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 Dave Stroud. The network helps show where Dave Stroud may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave Stroud, 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 | Extensive mosaic structure revealed by the complete genome sequence of uropathogenic Escherichia coli Hit paper breakdown → | 2002 | 1148 |
| 2 | 2013 | 54 | |
| 3 | 2000 | 52 | |
| 4 | 2010 | 41 | |
| 5 | 2010 | 31 | |
| 6 | 2015 | 28 | |
| 7 | 2014 | 24 | |
| 8 | 2023 | 7 | |
| 9 | 2002 | 6 | |
| 10 | 2021 | 4 | |
| 11 | 1964 | 3 | |
| 12 | 1961 | 3 | |
| 13 | 1961 | 1 |
About Dave Stroud
Dave Stroud is a scholar working on Molecular Biology, Aging, Genetics, Endocrinology and Biotechnology, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Escherichia coli research studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Evolution and Genetic Dynamics (2 papers), Transgenic Plants and Applications (2 papers), Bacterial Genetics and Biotechnology (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology (582 citations), Aging (117 citations), Molecular Medicine (181 citations), Genetics (332 citations) and Molecular Biology (647 citations). Dave Stroud has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Michael S. Donnenberg, Divya Rose, Jeremiah D. Hackett, Eric L. Buckles, George F. Mayhew, David C. Schwartz, Peter Redford, Harry L. T. Mobley, P. Roesch and Rodney A. Welch. Their work appears in journals such as Genetics, Nature, Biochemical and Biophysical Research Communications, Gene and Current Biology.
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.