M. Azria

41 papers receiving 1.5k citations

Peers

M. Azria
Comparison fields: 5 of 96
  • Orthopedics and Sports Medicine 434
  • Pharmaceutical Science 170
  • Rheumatology 252
  • Cellular and Molecular Neuroscience 291
  • Oncology 328
Replace Roman Skowroński with:
Roman Skowroński United States
Robert W. Coatney United States
Harish K. Datta United Kingdom
Dan Liu China
You‐Shuo Liu China
Mine Kinoshita Japan
Robin Altman United States
Chiara Terracciano Italy
Jiyong Zhang China
M. Lumb United Kingdom
M. Azria relative to Roman Skowroński United States Roman Skowroński's profile →
Citations per field
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Roman Skowroński · 1×
Citations per year

Countries citing papers authored by M. Azria

Since Specialization
Citations

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

Fields of papers citing papers by M. Azria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007180
2 1984165
3 2005130
4 2006116
5 200596
6 200482
7 201082
8 198780
9 200273
10 200266
11 199950
12 198948
13 200248
14 198942
15 199639
16 201237
17 200936
18 199236
19
Rationale for the potential use of calcitonin in osteoarthritis.
200632
20 200531

About M. Azria

M. Azria is a scholar working on Orthopedics and Sports Medicine, Molecular Biology, Oncology, Physiology and Rheumatology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (15 papers), Bone Metabolism and Diseases (11 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Bone health and treatments (5 papers), Vitamin K Research Studies (4 papers), Pain Mechanisms and Treatments (4 papers), Bone and Joint Diseases (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (434 citations), Pharmaceutical Science (170 citations), Rheumatology (252 citations), Cellular and Molecular Neuroscience (291 citations) and Oncology (328 citations). M. Azria has collaborated with scholars based in Switzerland, United States and Belgium. Frequent co-authors include Linda Mindeholm, Stuart L. Silverman, Melvin Olson, Claus Christiansen, P. Burckhardt, Marc Engelhardt, D. Manicourt, C. H. Chesnut, M.A. Karsdal and Thierry Buclin. Their work appears in journals such as Calcified Tissue International, Bone, Journal of Bone and Mineral Research, Osteoporosis International and British Journal of Clinical Pharmacology.

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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