G E Tennyson

758 citations
12 papers · 654 · h-index 10

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • RNA regulation and disease 2
    • RNA Research and Splicing 2
    • Growth Hormone and Insulin-like Growth Factors 4
    • Thyroid Disorders and Treatments 3
    • Diabetes, Cardiovascular Risks, and Lipoproteins 3

G E Tennyson

12 papers receiving 643 citations

Peers

G E Tennyson
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 417
  • Genetics 277
  • Reproductive Medicine 46
  • Molecular Biology 283
  • Cancer Research 27
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A Pascual Spain
Jaime Steinsapir United States
Odelia Rajanayagam United Kingdom
Niels Blume Denmark
J. R. Bourke Australia
Ning-Chun Liu United States
Lorenzo Goglia Italy
Anna Pezzatini Italy
Eva-Maria D. Nielsen Denmark
Paola Mussi United States
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Citations per field
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Citations per year

Countries citing papers authored by G E Tennyson

Since Specialization
Citations

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

Fields of papers citing papers by G E Tennyson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G E Tennyson. 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 G E Tennyson. The network helps show where G E Tennyson may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1988264
2 1990156
3 198955
4 199350
5 198837
6 199224
7 199621
8 198818
9 198916
10 19889
11 19902
12
Understanding type 2 diabetes mellitus and associated cardiovascular disease: linked by insulin resistance.
20022

About G E Tennyson

G E Tennyson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Oncology, having authored 12 papers that have together received 654 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Thyroid Disorders and Treatments (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Estrogen and related hormone effects (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), RNA regulation and disease (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (417 citations), Genetics (277 citations), Reproductive Medicine (46 citations), Molecular Biology (283 citations) and Cancer Research (27 citations). G E Tennyson has collaborated with scholars based in United States and Australia. Frequent co-authors include Vera M. Nikodem, Takaaki Mitsuhashi, Péter Hauser, B D Weintraub, H. Bryan Brewer, Fredric E. Wondisford, A. Bale, Stephen J. Usala, Domenico Accili and Robert W. Lash. Their work appears in journals such as Journal of Clinical Investigation, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Arteriosclerosis Thrombosis and Vascular Biology.

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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