Scott T. Kelley
- Molecular Biology top 1%
- Ecology top 0.2%
- Genetics top 0.5%
- Plant Science top 2%
- Infectious Diseases top 1%
- Co-authors
- Rob KnightMicah HamadyCatherine LozuponeAndrew J. BohonakJeffrey L. JensenBrian D. FarrellNorman R. PaceDan Knights
- Topics
- Gut microbiota and health (35 papers)Genomics and Phylogenetic Studies (25 papers)Microbial Community Ecology and Physiology (17 papers)
- Cited by
- EcologyPeriodonticsMolecular Biology
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Scott T. Kelley
133 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Molecular Biology 5.8k
- Ecology 3.7k
- Genetics 1.8k
- Plant Science 1.2k
- Infectious Diseases 1.2k
Countries citing papers authored by Scott T. Kelley
This map shows the geographic impact of Scott T. Kelley'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 T. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott T. Kelley more than expected).
Fields of papers citing papers by Scott T. Kelley
This network shows the impact of papers produced by Scott T. Kelley. 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 T. Kelley. The network helps show where Scott T. Kelley may publish in the future.
Co-authorship network of co-authors of Scott T. Kelley
This figure shows the co-authorship network connecting the top 25 collaborators of Scott T. Kelley. A scholar is included among the top collaborators of Scott T. Kelley 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 T. Kelley. Scott T. Kelley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 14 | |
| 8 | Age- and Sex-Dependent Patterns of Gut Microbial Diversity in Human Adultsbreakdown → | 270 |
| 9 | 55 | |
| 10 | 13 | |
| 11 | 33 | |
| 12 | 111 | |
| 13 | Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
\nbreakdown → | 723 |
| 14 | 7 | |
| 15 | "Extreme Programming" in a Bioinformatics Class | 1 |
| 16 | 39 | |
| 17 | 214 | |
| 18 | The Marine Viromes of Four Oceanic Regionsbreakdown → | 709 |
| 19 | 11 | |
| 20 | 50 |
About Scott T. Kelley
Scott T. Kelley is a scholar working on Endocrinology, Periodontics and Ecology, having authored 138 papers that have together received 13.2k indexed citations. Recurring topics across this work include Gut microbiota and health (35 papers), Genomics and Phylogenetic Studies (25 papers) and Microbial Community Ecology and Physiology (17 papers). The work is most often cited by research in Ecology (3.7k citations), Periodontics (478 citations) and Molecular Biology (5.8k citations). Scott T. Kelley has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Rob Knight, Micah Hamady, Catherine Lozupone, Andrew J. Bohonak, Jeffrey L. Jensen, Brian D. Farrell, Norman R. Pace, Dan Knights, Justin Kuczynski and Varykina G. Thackray. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.