Rikki M. Tanner
- Cardiology and Cardiovascular Medicine top 2%
- Nephrology top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Epidemiology
- Co-authors
- Paul MuntnerDaichi ShimboOrlando M. GutiérrezTodd M. BrownC. Barrett BowlingDavid G. WarnockSuzanne E. JuddLisandro D. Colantonio
- Topics
- Blood Pressure and Hypertension Studies (28 papers)Cardiovascular Health and Disease Prevention (9 papers)Lipoproteins and Cardiovascular Health (8 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Rikki M. Tanner
61 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 961
- Nephrology 357
- Endocrinology, Diabetes and Metabolism 341
- Surgery 268
- Epidemiology 242
Countries citing papers authored by Rikki M. Tanner
This map shows the geographic impact of Rikki M. Tanner'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 Rikki M. Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rikki M. Tanner more than expected).
Fields of papers citing papers by Rikki M. Tanner
This network shows the impact of papers produced by Rikki M. Tanner. 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 Rikki M. Tanner. The network helps show where Rikki M. Tanner may publish in the future.
Co-authorship network of co-authors of Rikki M. Tanner
This figure shows the co-authorship network connecting the top 25 collaborators of Rikki M. Tanner. A scholar is included among the top collaborators of Rikki M. Tanner 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 Rikki M. Tanner. Rikki M. Tanner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | Abstract 15687: Reasons for Statin Discontinuation With and Without a Physician’s Advice: Data From the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study | 1 |
| 6 | 5 | |
| 7 | 17 | |
| 8 | Abstract P202: Association of Masked Hypertension and Prehypertension with Subclinical Cardiovascular Disease in the Jackson Heart Study | 1 |
| 9 | 21 | |
| 10 | 77 | |
| 11 | 1 | |
| 12 | 95 | |
| 13 | 43 | |
| 14 | 25 | |
| 15 | 17 | |
| 16 | 102 | |
| 17 | 96 | |
| 18 | 55 | |
| 19 | 62 | |
| 20 | 26 |
About Rikki M. Tanner
Rikki M. Tanner is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Family Practice, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (28 papers), Cardiovascular Health and Disease Prevention (9 papers) and Lipoproteins and Cardiovascular Health (8 papers). The work is most often cited by research in Nephrology (357 citations), Cardiology and Cardiovascular Medicine (961 citations) and Endocrinology, Diabetes and Metabolism (341 citations). Rikki M. Tanner has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Paul Muntner, Daichi Shimbo, Orlando M. Gutiérrez, Todd M. Brown, C. Barrett Bowling, David G. Warnock, Suzanne E. Judd, Lisandro D. Colantonio, Keith M. Diaz and Suzanne Oparil. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.
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.