Brett Smith
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
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- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Gut microbiota and health 3
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
- Heat shock proteins research 1
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- Effects of Radiation Exposure 2
- Co-authors
- Andrew T. Magis (4 shared papers)Chengzhen L. Dai (3 shared papers)Sean M. Gibbons (2 shared papers)Sergey A. Kornilov (3 shared papers)Jennifer C. Lovejoy (1 shared paper)Nathan D. Price (1 shared paper)Leroy Hood (1 shared paper)Michelle A. Rudek (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)AI Magazine (2 papers)Nature Communications (1 paper)Clinical Infectious Diseases (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Brett Smith
16 papers receiving 931 citations
Brett Smith's Hit Papers
Peers
Comparison fields: 5 of 134
- Biological Psychiatry 40
- Molecular Biology 558
- Infectious Diseases 117
- Physiology 158
- Gastroenterology 28
Countries citing papers authored by Brett Smith
This map shows the geographic impact of Brett Smith'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 Brett Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brett Smith more than expected).
Fields of papers citing papers by Brett Smith
This network shows the impact of papers produced by Brett Smith. 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 Brett Smith. The network helps show where Brett Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Brett Smith, 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 | Health and disease markers correlate with gut microbiome composition across thousands of people Hit paper breakdown → | 2020 | 577 |
| 2 | 2022 | 63 | |
| 3 | 2009 | 58 | |
| 4 | 2010 | 48 | |
| 5 | 2012 | 43 | |
| 6 | 2024 | 41 | |
| 7 | 2021 | 40 | |
| 8 | 2015 | 30 | |
| 9 | 2018 | 23 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2009 | 5 | |
| 14 | 2014 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2019 | 1 |
About Brett Smith
Brett Smith is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Surgery and Pharmacology, having authored 16 papers that have together received 953 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Effects of Radiation Exposure (2 papers), Advanced Radiotherapy Techniques (1 paper), Heat shock proteins research (1 paper), Radiation Therapy and Dosimetry (1 paper) and Mechanical Engineering and Vibrations Research (1 paper). The work is most often cited by research in Biological Psychiatry (40 citations), Molecular Biology (558 citations), Infectious Diseases (117 citations), Physiology (158 citations) and Gastroenterology (28 citations). Brett Smith has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Andrew T. Magis, Chengzhen L. Dai, Sean M. Gibbons, Sergey A. Kornilov, Jennifer C. Lovejoy, Nathan D. Price, Leroy Hood, Michelle A. Rudek, Brian Tatting and Noa Rappaport. Their work appears in journals such as Journal of Clinical Oncology, AI Magazine, Nature Communications, Clinical Infectious Diseases and Journal of Lipid 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.