John Chase
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
- Molecular Biology top 10%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
Papers in
-
- Gut microbiota and health 5
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- J. Gregory Caporaso (11 shared papers)Rob Knight (6 shared papers)Jai Ram Rideout (6 shared papers)Antonio González (2 shared papers)Scott T. Kelley (3 shared papers)Daniel McDonald (2 shared papers)Luke K. Ursell (2 shared papers)Noah Fierer (1 shared paper)
- Journals
- PLoS ONE (2 papers)mSystems (2 papers)Inflammatory Bowel Diseases (1 paper)Microbiome (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
John Chase
12 papers receiving 1.3k citations
John Chase's Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Medicine 93
- Molecular Biology 714
- Biological Psychiatry 23
- Periodontics 41
- Health, Toxicology and Mutagenesis 106
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 | Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences Hit paper breakdown → | 2014 | 427 |
| 2 | 2014 | 321 | |
| 3 | 2015 | 191 | |
| 4 | 2016 | 115 | |
| 5 | 2013 | 111 | |
| 6 | 2016 | 57 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 31 | |
| 9 | 2017 | 20 | |
| 10 | 2018 | 15 | |
| 11 | 2015 | 6 | |
| 12 | 2014 | 5 | |
| 13 | Using books and libraries | 1951 | 0 |
About John Chase
John Chase is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Infectious Diseases and Surgery, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Curcumin's Biomedical Applications (2 papers), Amoebic Infections and Treatments (1 paper), Drilling and Well Engineering (1 paper), Gene expression and cancer classification (1 paper), Gastrointestinal motility and disorders (1 paper), Bioinformatics and Genomic Networks (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Molecular Medicine (93 citations), Molecular Biology (714 citations), Biological Psychiatry (23 citations), Periodontics (41 citations) and Health, Toxicology and Mutagenesis (106 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, Antonio González, Scott T. Kelley, Daniel McDonald, Luke K. Ursell, Noah Fierer, Yan He and Yoshiki Vázquez‐Baeza. Their work appears in journals such as PLoS ONE, mSystems, Inflammatory Bowel Diseases, Microbiome and Genome 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.