Stephen Hough

33 papers receiving 948 citations

Peers

Stephen Hough
Comparison fields: 5 of 108
  • Orthopedics and Sports Medicine 336
  • Nephrology 72
  • Pathology and Forensic Medicine 136
  • Endocrinology, Diabetes and Metabolism 127
  • Oncology 146
Replace Carla Caffarelli with:
Carla Caffarelli Italy
Nicholas R. Fuggle United Kingdom
P Broulík Czechia
G. А. Melnichenko Russia
Hideo Yoneshima Japan
R. L. Prince Australia
John C. Stevenson United Kingdom
Luca D’Onofrio Italy
Subhashini Yaturu United States
Mary Ruth Stegman United States
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Citations per field
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Carla Caffarelli · 1×
Citations per year

Countries citing papers authored by Stephen Hough

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Hough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981165
2 2001128
3 1988108
4 198191
5 198250
6 201450
7
Body fat distribution as a risk factor for osteoporosis.
199639
8 198339
9 201434
10 201533
11 201030
12 199829
13 198125
14 201124
15 201222
16 201119
17 198317
18 201316
19 198116
20 201112

About Stephen Hough

Stephen Hough is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 36 papers that have together received 1000 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (14 papers), Bone Metabolism and Diseases (12 papers), Bone health and treatments (9 papers), Vitamin D Research Studies (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Adrenal Hormones and Disorders (2 papers), HIV-related health complications and treatments (2 papers) and Diet, Metabolism, and Disease (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (336 citations), Nephrology (72 citations), Pathology and Forensic Medicine (136 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Oncology (146 citations). Stephen Hough has collaborated with scholars based in South Africa, United States and Germany. Frequent co-authors include Louis V. Avioli, Steven L. Teitelbaum, Eduardo Slatopolsky, Michele A. Bergfeld, Michael D. Fallon, Frans Maritz, P A Hulley, Jean E. Russell, Magda Conradie and Martin Kidd. Their work appears in journals such as Calcified Tissue International, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, PLoS ONE and Archives of Osteoporosis.

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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