Keith Tanner

797 citations
14 papers · 563 · h-index 9

Impact in

Papers in

Keith Tanner

13 papers receiving 549 citations

Peers

Keith Tanner
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 189
  • Cardiology and Cardiovascular Medicine 129
  • Internal Medicine 20
  • Endocrine and Autonomic Systems 35
  • Pharmacology 43
Replace George J. Miller with:
George J. Miller United Kingdom
Mariapina Pomilio Italy
A. Hatzizacharias Greece
C Lechi Italy
Wolfgang Latz Germany
Adán Valladares‐Salgado Mexico
Hotimah Masdan Salim Indonesia
Alessandra Cosma Italy
Stanislav Oravec Slovakia
Sung Kweon Cho South Korea
Keith Tanner relative to George J. Miller United Kingdom George J. Miller's profile →
Citations per field
00.5×3.5×
George J. Miller · 1×
Citations per year

Countries citing papers authored by Keith Tanner

Since Specialization
Citations

This map shows the geographic impact of Keith 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 Keith Tanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Tanner more than expected).

Fields of papers citing papers by Keith Tanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith 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 Keith Tanner. The network helps show where Keith Tanner may publish in the future.

Co-authors

The 25 scholars most cited alongside Keith 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 Keith Tanner Line = papers co-authored together Keith Tanner links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2002169
2 2012129
3 200594
4 201262
5 200027
6 200924
7 201719
8 199118
9 199010
10 19866
11 19942
12 20002
13 20241
14 20030

About Keith Tanner

Keith Tanner is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Physiology, having authored 14 papers that have together received 563 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Diet, Metabolism, and Disease (2 papers), Diabetes Treatment and Management (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Cardiology and Cardiovascular Medicine (129 citations), Internal Medicine (20 citations), Endocrine and Autonomic Systems (35 citations) and Pharmacology (43 citations). Keith Tanner has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Alan R. Shuldiner, Braxton D. Mitchell, Toni I. Pollin, Francesco S. Celi, Jeffrey R. O’Connell, Vincenzo Bacci, Éric T. Poehlman, D. Mentuccia, Richard B. Horenstein and John C. McLenithan. Their work appears in journals such as Diabetes, Diabetes/Metabolism Research and Reviews, Pharmacogenetics and Genomics, General and Comparative Endocrinology and Clinical and Translational Science.

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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