Greg D Gamble

3.0k citations
60 papers · 2.5k · h-index 27

Impact in

Papers in

Greg D Gamble

60 papers receiving 2.3k citations

Peers

Greg D Gamble
Comparison fields: 5 of 114
  • Nephrology 416
  • Endocrinology, Diabetes and Metabolism 501
  • Orthopedics and Sports Medicine 250
  • Rheumatology 224
  • Obstetrics and Gynecology 98
Replace R. Swaminathan with:
R. Swaminathan United Kingdom
Christian Bieglmayer Austria
Ee Mun Lim Australia
Helen Lunt New Zealand
Galina Afanas'evna Mel'nichenko Russia
Irene M. van der Meer Netherlands
Jean‐Claude Souberbielle France
Nikulás Sigfússon Iceland
Elvira Fernández Spain
Richard W. Keen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Greg D Gamble

Since Specialization
Citations

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

Fields of papers citing papers by Greg D Gamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg D Gamble. 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 Greg D Gamble. The network helps show where Greg D Gamble may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008395
2 2013190
3 2008163
4 1994118
5 1999114
6 201092
7 201092
8 200888
9 200486
10 201183
11 200972
12 200262
13 198961
14 201358
15 200952
16 201047
17 201546
18 199543
19 200639
20 201338

About Greg D Gamble

Greg D Gamble is a scholar working on Nephrology, Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Oncology, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bone health and treatments (6 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Bone health and osteoporosis research (4 papers), Clinical Reasoning and Diagnostic Skills (2 papers), Cardiovascular Function and Risk Factors (2 papers), Gestational Diabetes Research and Management (2 papers), Bone and Joint Diseases (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Nephrology (416 citations), Endocrinology, Diabetes and Metabolism (501 citations), Orthopedics and Sports Medicine (250 citations), Rheumatology (224 citations) and Obstetrics and Gynecology (98 citations). Greg D Gamble has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Mark J Bolland, I.M. Holdaway, Ian R. Reid, Nicola Dalbeth, Fiona Marion McQueen, Richard Milne, Raewyn J. Hopkins, Diana J. Wattie, Tim Cundy and GILLIAN A. WHALLEY. Their work appears in journals such as Osteoporosis International, Lara D. Veeken, Annals of the Rheumatic Diseases, Bone and European Heart Journal.

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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