John Chase
Impact in
Papers in
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- Curcumin's Biomedical Applications 2
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- Scientific Computing and Data Management 2
- Co-authors
- J. Gregory Caporaso (11 shared papers)Rob Knight (6 shared papers)Jai Ram Rideout (6 shared papers)Scott Theodore Kelley (3 shared papers)Daniel T. McDonald (2 shared papers)Jessica B. Henley (1 shared paper)Yoshiki Vázquez‐Baeza (1 shared paper)Daniel Domogala (1 shared paper)
- Journals
- mSystems (3 papers)PLoS ONE (2 papers)Gastroenterology (1 paper)Inflammatory Bowel Diseases (1 paper)GigaScience (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John Chase
13 papers receiving 19.3k citations
John Chase's Hit Papers
Peers
Comparison fields: 5 of 167
- Ecology 3.5k
- Pollution 1.3k
- Molecular Biology 6.4k
- Animal Science and Zoology 859
- Periodontics 575
Countries citing papers authored by John Chase
This map shows the geographic impact of John Chase'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 John Chase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chase more than expected).
Fields of papers citing papers by John Chase
This network shows the impact of papers produced by John Chase. 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 John Chase. The network helps show where John Chase may publish in the future.
Co-authors
The 25 scholars most cited alongside John Chase, 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 | Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 Hit paper breakdown → | 2019 | 17355 |
| 2 | American Gut: an Open Platform for Citizen Science Microbiome Research Hit paper breakdown → | 2018 | 679 |
| 3 | Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences Hit paper breakdown → | 2014 | 455 |
| 4 | 2014 | 349 | |
| 5 | 2015 | 204 | |
| 6 | 2016 | 124 | |
| 7 | 2013 | 117 | |
| 8 | 2016 | 59 | |
| 9 | 2016 | 40 | |
| 10 | 2016 | 34 | |
| 11 | 2018 | 16 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 5 |
About John Chase
John Chase is a scholar working on Molecular Medicine, Information Systems and Management, Molecular Biology, Ecology and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 19.4k indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (3 papers), Research Data Management Practices (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Curcumin's Biomedical Applications (2 papers), Scientific Computing and Data Management (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Ecology (3.5k citations), Pollution (1.3k citations), Molecular Biology (6.4k citations), Animal Science and Zoology (859 citations) and Periodontics (575 citations). John Chase has collaborated with scholars based in United States, Canada and China. Frequent co-authors include J. Gregory Caporaso, Rob Knight, Jai Ram Rideout, Scott Theodore Kelley, Daniel T. McDonald, Jessica B. Henley, Yoshiki Vázquez‐Baeza, Daniel Domogala, Antonio González-Sánchez and Robert R. Dunn. Their work appears in journals such as mSystems, PLoS ONE, Gastroenterology, Inflammatory Bowel Diseases and GigaScience.
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.