Nahid Rianon

1.5k citations
53 papers · 1.1k · h-index 16

Impact in

Papers in

Nahid Rianon

51 papers receiving 1.1k citations

Peers

Nahid Rianon
Comparison fields: 5 of 114
  • Orthopedics and Sports Medicine 428
  • Nephrology 162
  • Geriatrics and Gerontology 57
  • Physiology 309
  • Oncology 174
Replace J.D. Adachi with:
J.D. Adachi Canada
Kara L. Holloway‐Kew Australia
Alison Stewart United Kingdom
Jesse C. Krakauer United States
N. Stobäus Germany
Marta Erlandson Canada
Neri Alejandro Álvarez‐Villalobos Mexico
Nai‐Hsin Meng Taiwan
James Bernard Walsh Ireland
Federico Ponti Italy
Nahid Rianon relative to J.D. Adachi Canada J.D. Adachi's profile →
Citations per field
00.5×3.9×
J.D. Adachi · 1×
Citations per year

Countries citing papers authored by Nahid Rianon

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Rianon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004287
2 2012164
3
Alendronate as an effective countermeasure to disuse induced bone loss.
200280
4 202172
5 200353
6 201134
7 201526
8 200326
9 201725
10 200819
11 201819
12 201718
13 201718
14 202216
15 201715
16 202115
17 201414
18 202013
19 202112
20 201811

About Nahid Rianon

Nahid Rianon is a scholar working on Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Oncology, Surgery and Geriatrics and Gerontology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (19 papers), Hip and Femur Fractures (6 papers), Bone health and treatments (6 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Parathyroid Disorders and Treatments (4 papers) and Bone and Joint Diseases (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (428 citations), Nephrology (162 citations), Geriatrics and Gerontology (57 citations), Physiology (309 citations) and Oncology (174 citations). Nahid Rianon has collaborated with scholars based in United States, Iceland and Sweden. Frequent co-authors include Scott M. Smith, Daniel L. Feeback, Linda Shackelford, Harlan Evans, Adrian LeBlanc, T. B. Driscoll, Dongbing Lai, Elisabeth R. Spector, Rafia S. Rasu and Jude des Bordes. Their work appears in journals such as Journal of Clinical Densitometry, Value in Health, Osteoporosis International, Calcified Tissue International and British Journal Of Nutrition.

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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