T. Lynn Smith
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Neurology top 5%
- Barrier Structure and Function Studies
Papers in
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- Liver Disease Diagnosis and Treatment 6
-
- Migration, Ethnicity, and Economy 3
- Co-authors
- Frank A. Anania (9 shared papers)Pradeep Kumar (9 shared papers)Natalie Thorn (4 shared papers)Yunshan Liu (6 shared papers)Khalidur Rahman (4 shared papers)Brandy L. Daugherty (1 shared paper)Jeffrey D. Ritzenthaler (1 shared paper)Chris Ward (2 shared papers)
- Journals
- American Sociological Review (4 papers)Hispanic American Historical Review (4 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)Contemporary Sociology A Journal of Reviews (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
T. Lynn Smith
43 papers receiving 961 citations
Peers
Comparison fields: 5 of 122
- Hepatology 130
- Neurology 134
- Epidemiology 426
- Endocrinology, Diabetes and Metabolism 135
- Physiology 183
Countries citing papers authored by T. Lynn Smith
This map shows the geographic impact of T. Lynn 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 T. Lynn Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lynn Smith more than expected).
Fields of papers citing papers by T. Lynn Smith
This network shows the impact of papers produced by T. Lynn 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 T. Lynn Smith. The network helps show where T. Lynn Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Lynn 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 264 | |
| 2 | 2007 | 128 | |
| 3 | 2014 | 73 | |
| 4 | 2006 | 69 | |
| 5 | 2014 | 67 | |
| 6 | 2020 | 63 | |
| 7 | 2018 | 58 | |
| 8 | 2014 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2018 | 30 | |
| 11 | 1951 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 1964 | 18 | |
| 14 | 1951 | 15 | |
| 15 | 1955 | 10 | |
| 16 | 1962 | 9 | |
| 17 | 1959 | 8 | |
| 18 | 1971 | 8 | |
| 19 | 1952 | 8 | |
| 20 | 1966 | 7 |
About T. Lynn Smith
T. Lynn Smith is a scholar working on Epidemiology, Sociology and Political Science, Molecular Biology, General Agricultural and Biological Sciences and Hepatology, having authored 47 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (4 papers), Barrier Structure and Function Studies (3 papers), Migration, Ethnicity, and Economy (3 papers), Diet, Metabolism, and Disease (2 papers), Latin American rural development (2 papers), Gut microbiota and health (2 papers) and Agriculture and Rural Development Research (2 papers). The work is most often cited by research in Hepatology (130 citations), Neurology (134 citations), Epidemiology (426 citations), Endocrinology, Diabetes and Metabolism (135 citations) and Physiology (183 citations). T. Lynn Smith has collaborated with scholars based in United States, India and China. Frequent co-authors include Frank A. Anania, Pradeep Kumar, Natalie Thorn, Yunshan Liu, Khalidur Rahman, Brandy L. Daugherty, Jeffrey D. Ritzenthaler, Chris Ward, Michael Koval and Alton B. Farris. Their work appears in journals such as American Sociological Review, Hispanic American Historical Review, Journal of Biological Chemistry, The FASEB Journal and Contemporary Sociology A Journal of Reviews.
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.