Dan Knights
Impact in
- Biological Psychiatry top 0.05%
- Molecular Biology top 0.01%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
Papers in
-
- Gut microbiota and health 108
- Genomics and Phylogenetic Studies 17
-
- Clostridium difficile and Clostridium perfringens research 25
- Co-authors
- Rob Knight (30 shared papers)José Carlos Clemente (6 shared papers)Jesse Zaneveld (5 shared papers)J. Gregory Caporaso (6 shared papers)Curtis Huttenhower (4 shared papers)Daniel T. McDonald (3 shared papers)Deron E. Burkepile (1 shared paper)Rebecca L. Vega Thurber (1 shared paper)
- Journals
- Cell Host & Microbe (8 papers)PLoS ONE (6 papers)Cell (5 papers)Frontiers in Microbiology (5 papers)mSystems (5 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Dan Knights
148 papers receiving 102.1k citations
Dan Knights's Hit Papers
Peers
Comparison fields: 5 of 218
- Biological Psychiatry 2.3k
- Molecular Biology 56.1k
- Gastroenterology 4.0k
- Ecology 18.7k
- Periodontics 2.6k
Countries citing papers authored by Dan Knights
This map shows the geographic impact of Dan Knights'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 Dan Knights with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Knights more than expected).
Fields of papers citing papers by Dan Knights
This network shows the impact of papers produced by Dan Knights. 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 Dan Knights. The network helps show where Dan Knights may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Knights, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | QIIME allows analysis of high-throughput community sequencing data Hit paper breakdown → | 2010 | 29412 |
| 2 | Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 Hit paper breakdown → | 2019 | 16992 |
| 3 | Structure, function and diversity of the healthy human microbiome Hit paper breakdown → | 2012 | 9233 |
| 4 | Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences Hit paper breakdown → | 2013 | 7564 |
| 5 | Human gut microbiome viewed across age and geography Hit paper breakdown → | 2012 | 6187 |
| 6 | Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes Hit paper breakdown → | 2011 | 5255 |
| 7 | The Treatment-Naive Microbiome in New-Onset Crohn’s Disease Hit paper breakdown → | 2014 | 2624 |
| 8 | UniFrac: an effective distance metric for microbial community comparison Hit paper breakdown → | 2010 | 2232 |
| 9 | A framework for human microbiome research Hit paper breakdown → | 2012 | 2104 |
| 10 | Diet Drives Convergence in Gut Microbiome Functions Across Mammalian Phylogeny and Within Humans Hit paper breakdown → | 2011 | 1551 |
| 11 | Bayesian community-wide culture-independent microbial source tracking Hit paper breakdown → | 2011 | 1407 |
| 12 | Gut Microbiomes of Malawian Twin Pairs Discordant for Kwashiorkor Hit paper breakdown → | 2013 | 943 |
| 13 | Moving pictures of the human microbiome Hit paper breakdown → | 2011 | 905 |
| 14 | Cohabiting family members share microbiota with one another and with their dogs Hit paper breakdown → | 2013 | 849 |
| 15 | Enterotypes in the landscape of gut microbial community composition Hit paper breakdown → | 2017 | 806 |
| 16 | American Gut: an Open Platform for Citizen Science Microbiome Research Hit paper breakdown → | 2018 | 667 |
| 17 | Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications Hit paper breakdown → | 2011 | 621 |
| 18 | Systematic improvement of amplicon marker gene methods for increased accuracy in microbiome studies Hit paper breakdown → | 2016 | 610 |
| 19 | US Immigration Westernizes the Human Gut Microbiome Hit paper breakdown → | 2018 | 584 |
| 20 | Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans Hit paper breakdown → | 2019 | 543 |
About Dan Knights
Dan Knights is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Ecology and Food Science, having authored 150 papers that have together received 103.6k indexed citations. Recurring topics across this work include Gut microbiota and health (108 papers), Diet and metabolism studies (29 papers), Clostridium difficile and Clostridium perfringens research (25 papers), Genomics and Phylogenetic Studies (17 papers), Nutritional Studies and Diet (13 papers), Microbial Community Ecology and Physiology (13 papers), Probiotics and Fermented Foods (11 papers) and Gastrointestinal motility and disorders (7 papers). The work is most often cited by research in Biological Psychiatry (2.3k citations), Molecular Biology (56.1k citations), Gastroenterology (4.0k citations), Ecology (18.7k citations) and Periodontics (2.6k citations). Dan Knights has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Rob Knight, José Carlos Clemente, Jesse Zaneveld, J. Gregory Caporaso, Curtis Huttenhower, Daniel T. McDonald, Deron E. Burkepile, Rebecca L. Vega Thurber, Robert Gerald Beiko and Morgan G. I. Langille. Their work appears in journals such as Cell Host & Microbe, PLoS ONE, Cell, Frontiers in Microbiology and mSystems.
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.