Steve Orme

1.0k citations
31 papers · 567 · h-index 13

Impact in

Papers in

Steve Orme

30 papers receiving 530 citations

Peers

Steve Orme
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 277
  • Orthopedics and Sports Medicine 50
  • Cardiology and Cardiovascular Medicine 61
  • Nephrology 19
  • Genetics 28
Replace Monica Gola with:
Monica Gola Italy
Melek Eda Ertörer Türkiye
Sasigarn A. Bowden United States
Walter Bonfig Germany
Giovanna Bugari Italy
Annamaria Colao Italy
Moo-Il Kang South Korea
M. D’Herbomez France
Vitaly Kantorovich United States
E.A. Cowden Canada
Steve Orme relative to Monica Gola Italy Monica Gola's profile →
Citations per field
00.5×1.5×2.4×
Monica Gola · 1×
Citations per year

Countries citing papers authored by Steve Orme

Since Specialization
Citations

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

Fields of papers citing papers by Steve Orme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 199961
3 199258
4 201554
5 201243
6 201924
7 201421
8 200720
9 199419
10 199117
11 199417
12 201117
13 200816
14 201712
15 201411
16 199810
17 20069
18 20248
19 19977
20 20236

About Steve Orme

Steve Orme is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 31 papers that have together received 567 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (10 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Bone health and osteoporosis research (3 papers), Thyroid Disorders and Treatments (2 papers), Bone Metabolism and Diseases (2 papers), Bone health and treatments (2 papers), Adrenal and Paraganglionic Tumors (2 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (277 citations), Orthopedics and Sports Medicine (50 citations), Cardiology and Cardiovascular Medicine (61 citations), Nephrology (19 citations) and Genetics (28 citations). Steve Orme has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include P E Belchetz, Robert Murray, Julie Lynch, Ramzi Ajjan, B. Oldroyd, Paul Hatfield, Georgina Gerrard, Carmel Loughrey, S.P. Stewart and Susan Short. Their work appears in journals such as Clinical Endocrinology, Expert Opinion on Drug Safety, European Journal of Endocrinology, Postgraduate Medical Journal and Age and Ageing.

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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