E Tanner

32 papers receiving 1.0k citations

Peers

E Tanner
Comparison fields: 5 of 113
  • Cancer Research 271
  • Aging 30
  • Molecular Biology 569
  • Immunology 118
  • Hematology 54
Replace Aurélie de Thonel with:
Aurélie de Thonel France
Nicola Vahsen France
Jessica K. Gagnon United States
Ho Joong Sung South Korea
Davide Eletto United States
Xiannian Zhang China
Kyu Heo South Korea
Lorella Vecchio Italy
Mike Kucera Canada
Liang Cai China
E Tanner relative to Aurélie de Thonel France Aurélie de Thonel's profile →
Citations per field
00.5×1.5×1.8×
Aurélie de Thonel · 1×
Citations per year

Countries citing papers authored by E Tanner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E Tanner Line = papers co-authored together E Tanner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004427
2 2002209
3 200994
4 200069
5 201062
6 200950
7 202016
8 201915
9 201513
10 20219
11 20229
12 20189
13 20039
14
Optimized Curcumin, Pomegranate Extract, and Methylsulfonylmethane Reduce Acute, Systemic Inflammatory Response to a Half-marathon Race.
20229
15 20189
16 20118
17 20126
18
[Rimifon in the therapy of tuberculosis; first clinical observations].
19525
19 20184
20 20164

About E Tanner

E Tanner is a scholar working on Rehabilitation, Molecular Biology, Complementary and alternative medicine, Physiology and Mathematical Physics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Exercise and Physiological Responses (8 papers), Cardiovascular and exercise physiology (4 papers), Advanced Algebra and Geometry (3 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) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Cancer Research (271 citations), Aging (30 citations), Molecular Biology (569 citations), Immunology (118 citations) and Hematology (54 citations). E Tanner has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Andrew L. Kung, David M. Livingston, Kimberly McCall, Vivienne I. Rebel, Roderick T. Bronson, Hong Yang, Michael J. Eck, Alexander W. Wood, Klaus Memmert and Hans‐Ulrich Naegeli. Their work appears in journals such as Medicine & Science in Sports & Exercise, International Journal of Mathematics, Methods, Genes & Nutrition and Cell Death and Differentiation.

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.

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