Matthew Tuck
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Health top 10%
- Social Media in Health Education
Papers in
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- Pharmacogenetics and Drug Metabolism 5
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- Hormonal Regulation and Hypertension 4
- Co-authors
- Katherine Chang Chretien (4 shared papers)Takehide Ogihara (4 shared papers)Kazuko Masuo (4 shared papers)Tomohiro Katsuya (4 shared papers)Hiromi Rakugi (3 shared papers)Yuan Fu (3 shared papers)Donald Earl Henson (3 shared papers)Bernadette K. McLaren (2 shared papers)
- Journals
- American Journal of Hypertension (7 papers)Journal of General Internal Medicine (3 papers)Journal of Hospital Medicine (3 papers)Archives of Pathology & Laboratory Medicine (2 papers)International Review of Psychiatry (2 papers)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Matthew Tuck
38 papers receiving 1.2k citations
Matthew Tuck's Hit Papers
Peers
Comparison fields: 5 of 113
- Infectious Diseases 301
- Health 77
- Pharmacology 77
- Internal Medicine 30
- Immunology 156
Countries citing papers authored by Matthew Tuck
This map shows the geographic impact of Matthew Tuck'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 Matthew Tuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Tuck more than expected).
Fields of papers citing papers by Matthew Tuck
This network shows the impact of papers produced by Matthew Tuck. 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 Matthew Tuck. The network helps show where Matthew Tuck may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Tuck, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mapping the human genetic architecture of COVID-19 Hit paper breakdown → | 2021 | 641 |
| 2 | 2015 | 61 | |
| 3 | 2013 | 55 | |
| 4 | 2005 | 51 | |
| 5 | 2005 | 49 | |
| 6 | 1998 | 45 | |
| 7 | 2016 | 41 | |
| 8 | 2005 | 39 | |
| 9 | 2005 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2005 | 35 | |
| 12 | 2006 | 34 | |
| 13 | 2018 | 33 | |
| 14 | 2021 | 18 | |
| 15 | 2016 | 13 | |
| 16 | 2020 | 13 | |
| 17 | 2005 | 13 | |
| 18 | 2020 | 11 | |
| 19 | 2006 | 10 | |
| 20 | 2017 | 8 |
About Matthew Tuck
Matthew Tuck is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Hematology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovations in Medical Education (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Hormonal Regulation and Hypertension (4 papers), Genetic Associations and Epidemiology (3 papers), Cancer Genomics and Diagnostics (2 papers), Healthcare cost, quality, practices (2 papers), Alcoholism and Thiamine Deficiency (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Infectious Diseases (301 citations), Health (77 citations), Pharmacology (77 citations), Internal Medicine (30 citations) and Immunology (156 citations). Matthew Tuck has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Katherine Chang Chretien, Takehide Ogihara, Kazuko Masuo, Tomohiro Katsuya, Hiromi Rakugi, Yuan Fu, Donald Earl Henson, Bernadette K. McLaren, Jorge Albores‐Saavedra and Kelley S. Carrick. Their work appears in journals such as American Journal of Hypertension, Journal of General Internal Medicine, Journal of Hospital Medicine, Archives of Pathology & Laboratory Medicine and International Review of Psychiatry.
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.