Toni I. Pollin
- Genetics top 0.5%
- Molecular Biology top 5%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Co-authors
- Alan R. ShuldinerBraxton D. MitchellJeffrey R. O’ConnellWilliam C. KnowlerColeen DamcottJosé C. FlorezKathleen A. JablonskiJohn C. McLenithan
- Topics
- Pancreatic function and diabetes (29 papers)Genetic Associations and Epidemiology (23 papers)Diabetes and associated disorders (13 papers)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Toni I. Pollin
123 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Genetics 2.2k
- Molecular Biology 2.0k
- Surgery 1.6k
- Endocrinology, Diabetes and Metabolism 1.6k
- Epidemiology 1.4k
Countries citing papers authored by Toni I. Pollin
This map shows the geographic impact of Toni I. Pollin'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 Toni I. Pollin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toni I. Pollin more than expected).
Fields of papers citing papers by Toni I. Pollin
This network shows the impact of papers produced by Toni I. Pollin. 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 Toni I. Pollin. The network helps show where Toni I. Pollin may publish in the future.
Co-authorship network of co-authors of Toni I. Pollin
This figure shows the co-authorship network connecting the top 25 collaborators of Toni I. Pollin. A scholar is included among the top collaborators of Toni I. Pollin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Toni I. Pollin. Toni I. Pollin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 8 | |
| 9 | Abstract 219: Effects of Homozygosity for the P.e167k Variant in Tm6sf2 on Lipid and Lipoprotein Metabolism in Humans | 1 |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 9 | |
| 13 | 8 | |
| 14 | 13 | |
| 15 | 49 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | A Null Mutation in Human APOC3 Confers a Favorable Plasma Lipid Profile and Apparent Cardioprotectionbreakdown → | 517 |
| 19 | 146 | |
| 20 | 93 |
About Toni I. Pollin
Toni I. Pollin is a scholar working on Genetics, Aging and Endocrinology, Diabetes and Metabolism, having authored 129 papers that have together received 6.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Genetic Associations and Epidemiology (23 papers) and Diabetes and associated disorders (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Aging (146 citations) and Genetics (2.2k citations). Toni I. Pollin has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Jeffrey R. O’Connell, William C. Knowler, Coleen Damcott, José C. Florez, Kathleen A. Jablonski, John C. McLenithan, David Altshuler and Sandra Ott. Their work appears in journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.
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.