J. Betteridge

991 citations
9 papers · 788 · h-index 6

Impact in

    • Thyroid Disorders and Treatments
    • Thyroid Cancer Diagnosis and Treatment
    • Growth Hormone and Insulin-like Growth Factors
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Pituitary Gland Disorders and Treatments
  • Surgery top 10%
    • Lipoproteins and Cardiovascular Health

Papers in

J. Betteridge

8 papers receiving 736 citations

Peers

J. Betteridge
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 403
  • Surgery 341
  • Cancer Research 75
  • Pathology and Forensic Medicine 81
  • Orthopedics and Sports Medicine 30
Replace Avital Harari with:
Avital Harari United States
Weiwei Zhou China
Sina Jasim United States
Fritz‐Line Vélayoudom‐Céphise France
Lars‐Erik Tisell Sweden
Elisa Guarino Italy
Moo-Il Kang South Korea
Gregory P. Sadler United Kingdom
Shireen Fatemi United States
Laura Trementino Italy
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Citations per field
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Citations per year

Countries citing papers authored by J. Betteridge

Since Specialization
Citations

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

Fields of papers citing papers by J. Betteridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008336
2 1998230
3 199391
4 199462
5
Effect of vitamin D receptor gene alleles on bone loss in early rheumatoid arthritis.
199845
6 199518
7 20114
8 19751
9 19891

About J. Betteridge

J. Betteridge is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Oncology and Pharmacology, having authored 9 papers that have together received 788 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Vitamin D Research Studies (1 paper), Bone health and osteoporosis research (1 paper), Estrogen and related hormone effects (1 paper), Lipid metabolism and disorders (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Antiplatelet Therapy and Cardiovascular Diseases (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (403 citations), Surgery (341 citations), Cancer Research (75 citations), Pathology and Forensic Medicine (81 citations) and Orthopedics and Sports Medicine (30 citations). J. Betteridge has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Michael C. Sheppard, J. A. Franklyn, Peter Boyle, Patrick Maisonneuve, Paul N. Durrington, I.F.W. McDowell, Mary Seed, Nigel Capps, Steve E. Humphries and J.A. Cooper. Their work appears in journals such as Clinical Endocrinology, European Heart Journal, The Journal of Clinical Endocrinology & Metabolism, Thyroid and New England Journal of Medicine.

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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