E Tanner
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Aging top 10%
Papers in
-
- Exercise and Physiological Responses 8
- Co-authors
- David M. Livingston (2 shared papers)Andrew L. Kung (2 shared papers)Kimberly McCall (3 shared papers)Vivienne I. Rebel (1 shared paper)Roderick T. Bronson (1 shared paper)Hong Yang (1 shared paper)Dennis S. France (1 shared paper)Kenneth W. Bair (1 shared paper)
- Journals
- Medicine & Science in Sports & Exercise (3 papers)International Journal of Mathematics (2 papers)Methods (2 papers)Genes & Nutrition (1 paper)Physical Review A (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
E Tanner
32 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 264
- Aging 29
- Molecular Biology 549
- Immunology 118
- Hematology 53
Countries citing papers authored by E Tanner
This map shows the geographic impact of E 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 E Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Tanner more than expected).
Fields of papers citing papers by E Tanner
This network shows the impact of papers produced by E 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 E Tanner. The network helps show where E Tanner may publish in the future.
Co-authors
The 25 scholars most cited alongside E Tanner, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 414 | |
| 2 | 2002 | 201 | |
| 3 | 2009 | 90 | |
| 4 | 2000 | 66 | |
| 5 | 2010 | 60 | |
| 6 | 2009 | 50 | |
| 7 | 2020 | 16 | |
| 8 | 2019 | 15 | |
| 9 | 2015 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2003 | 9 | |
| 14 | Optimized Curcumin, Pomegranate Extract, and Methylsulfonylmethane Reduce Acute, Systemic Inflammatory Response to a Half-marathon Race. | 2022 | 9 |
| 15 | 2018 | 9 | |
| 16 | 2011 | 8 | |
| 17 | 2012 | 6 | |
| 18 | [Rimifon in the therapy of tuberculosis; first clinical observations]. | 1952 | 5 |
| 19 | 2018 | 4 | |
| 20 | 2016 | 4 |
About E Tanner
E Tanner is a scholar working on Rehabilitation, Molecular Biology, Complementary and alternative medicine, Physiology and Pharmacology, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (8 papers), Cardiovascular and exercise physiology (4 papers), High Altitude and Hypoxia (2 papers), Atmospheric Ozone and Climate (2 papers), Spectroscopy and Laser Applications (2 papers), Neurobiology and Insect Physiology Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Advanced Algebra and Geometry (2 papers). The work is most often cited by research in Cancer Research (264 citations), Aging (29 citations), Molecular Biology (549 citations), Immunology (118 citations) and Hematology (53 citations). E Tanner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include David M. Livingston, Andrew L. Kung, Kimberly McCall, Vivienne I. Rebel, Roderick T. Bronson, Hong Yang, Dennis S. France, Kenneth W. Bair, Michael J. Eck and Frank Petersen. Their work appears in journals such as Medicine & Science in Sports & Exercise, International Journal of Mathematics, Methods, Genes & Nutrition and Physical Review A.
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.