Scott R. Waterman
- Food Science top 0.5%
- Endocrinology top 0.5%
- Molecular Biology
- Infectious Diseases top 5%
- Genetics top 5%
- Co-authors
- Pamela L. C. SmallDavid W. HoldenFerric C. FangPeter R. WilliamsonColin GleesonJacqueline E. SheaAndrés Vázquez‐TorresMichael Hensel
- Topics
- Salmonella and Campylobacter epidemiology (11 papers)Bacteriophages and microbial interactions (6 papers)Bacterial Genetics and Biotechnology (6 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Scott R. Waterman
29 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Food Science 1.0k
- Endocrinology 855
- Molecular Biology 661
- Infectious Diseases 493
- Genetics 343
Countries citing papers authored by Scott R. Waterman
This map shows the geographic impact of Scott R. Waterman'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 Scott R. Waterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott R. Waterman more than expected).
Fields of papers citing papers by Scott R. Waterman
This network shows the impact of papers produced by Scott R. Waterman. 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 Scott R. Waterman. The network helps show where Scott R. Waterman may publish in the future.
Co-authorship network of co-authors of Scott R. Waterman
This figure shows the co-authorship network connecting the top 25 collaborators of Scott R. Waterman. A scholar is included among the top collaborators of Scott R. Waterman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott R. Waterman. Scott R. Waterman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 86 | |
| 2 | 21 | |
| 3 | 194 | |
| 4 | 110 | |
| 5 | 36 | |
| 6 | 26 | |
| 7 | 37 | |
| 8 | 305 | |
| 9 | 22 | |
| 10 | 127 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Genes encoding putative effector proteins of the type III secretion system of Salmonella pathogenicity island 2 are required for bacterial virulence and proliferation in macrophagesbreakdown → | 493 |
| 15 | 101 | |
| 16 | 140 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 1 |
About Scott R. Waterman
Scott R. Waterman is a scholar working on Endocrinology, Food Science and Molecular Medicine, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (11 papers), Bacteriophages and microbial interactions (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Endocrinology (855 citations), Food Science (1.0k citations) and Biotechnology (238 citations). Scott R. Waterman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Pamela L. C. Small, David W. Holden, Ferric C. Fang, Peter R. Williamson, Colin Gleeson, Jacqueline E. Shea, Andrés Vázquez‐Torres, Michael Hensel, G. T. Banks and Rosanna Mundy. Their work appears in journals such as Journal of Clinical Investigation, The EMBO Journal and Nature Cell 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.