Nathan Tintle
Impact in
- Nutrition and Dietetics top 2%
- Fatty Acid Research and Health
- Statistics and Probability top 2%
- Statistics Education and Methodologies
Papers in
- Genetics 41
- Genetic Associations and Epidemiology 38
- Genomics and Rare Diseases 10
- Genetic Mapping and Diversity in Plants and Animals 9
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- Fatty Acid Research and Health 37
- Co-authors
- William S. Harris (35 shared papers)Evelyn J. Bromet (10 shared papers)Semyon Gluzman (7 shared papers)Liana Del Gobbo (1 shared paper)Johan M. Havenaar (6 shared papers)Ramachandran S. Vasan (4 shared papers)Stanislav Kostyuchenko (5 shared papers)Mark R. Etherton (1 shared paper)
- Journals
- Prostaglandins Leukotrienes and Essential Fatty Acids (12 papers)Nutrients (8 papers)Genetic Epidemiology (6 papers)PLoS ONE (5 papers)Frontiers in Genetics (4 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Nathan Tintle
141 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Nutrition and Dietetics 457
- Statistics and Probability 198
- Biochemistry 131
- Health 132
- Genetics 363
Countries citing papers authored by Nathan Tintle
This map shows the geographic impact of Nathan Tintle'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 Nathan Tintle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Tintle more than expected).
Fields of papers citing papers by Nathan Tintle
This network shows the impact of papers produced by Nathan Tintle. 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 Nathan Tintle. The network helps show where Nathan Tintle may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Tintle, 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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 133 | |
| 2 | 2005 | 132 | |
| 3 | 2018 | 97 | |
| 4 | 2021 | 77 | |
| 5 | 2007 | 74 | |
| 6 | 2014 | 63 | |
| 7 | 2019 | 58 | |
| 8 | 2008 | 53 | |
| 9 | 2005 | 52 | |
| 10 | 2011 | 47 | |
| 11 | 2014 | 45 | |
| 12 | 2009 | 41 | |
| 13 | Introduction to Statistical Investigations | 2014 | 40 |
| 14 | 2013 | 39 | |
| 15 | 2011 | 36 | |
| 16 | 2012 | 33 | |
| 17 | 2016 | 31 | |
| 18 | 2007 | 30 | |
| 19 | 2013 | 29 | |
| 20 | 2011 | 27 |
About Nathan Tintle
Nathan Tintle is a scholar working on Genetics, Nutrition and Dietetics, Molecular Biology, Cardiology and Cardiovascular Medicine and Statistics and Probability, having authored 155 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (38 papers), Fatty Acid Research and Health (37 papers), Gene expression and cancer classification (16 papers), Statistics Education and Methodologies (13 papers), Cardiac Health and Mental Health (11 papers), Genomics and Rare Diseases (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Nutrition and Dietetics (457 citations), Statistics and Probability (198 citations), Biochemistry (131 citations), Health (132 citations) and Genetics (363 citations). Nathan Tintle has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include William S. Harris, Evelyn J. Bromet, Semyon Gluzman, Liana Del Gobbo, Johan M. Havenaar, Ramachandran S. Vasan, Stanislav Kostyuchenko, Mark R. Etherton, Charles Webb and Joseph E. Schwartz. Their work appears in journals such as Prostaglandins Leukotrienes and Essential Fatty Acids, Nutrients, Genetic Epidemiology, PLoS ONE and Frontiers in Genetics.
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.