Sunil J. Wimalawansa

196 papers receiving 9.0k citations

Hit Papers

American Association of Clinical Endocrinologists and Ame...201620262019202220162020201720162019250500750

Peers

Sunil J. Wimalawansa
Comparison fields: 5 of 165
  • Orthopedics and Sports Medicine 2.3k
  • Cellular and Molecular Neuroscience 2.3k
  • Molecular Biology 2.2k
  • Pathology and Forensic Medicine 2.2k
  • Surgery 1.8k
Replace Kerrie M. Sanders with:
Kerrie M. Sanders Australia
Dominique D. Pierroz Switzerland
Kevin E. Yarasheski United States
Ryoichi Takayanagi Japan
Bo Gullberg Sweden
Guðný Eiríksdóttir Iceland
Giovanni Lombardi Italy
Egil Haug Norway
Annlia Paganini‐Hill United States
William D. Fraser United Kingdom
Sunil J. Wimalawansa relative to Kerrie M. Sanders Australia Kerrie M. Sanders's profile →
Citations per field
00.5×4.0×
Kerrie M. Sanders · 1×
Citations per year

Countries citing papers authored by Sunil J. Wimalawansa

Since Specialization
Citations

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

Fields of papers citing papers by Sunil J. Wimalawansa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil J. Wimalawansa. 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 Sunil J. Wimalawansa. The network helps show where Sunil J. Wimalawansa may publish in the future.

Co-authorship network of co-authors of Sunil J. Wimalawansa

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil J. Wimalawansa. A scholar is included among the top collaborators of Sunil J. Wimalawansa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sunil J. Wimalawansa. Sunil J. Wimalawansa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 4
3 3
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Minerals and Human Health: From Deficiency to Toxicitybreakdown →
25
5 3
6 6
7 9
8 5
9 5
10 28
11 5
12 51
13 19
14 10
15
Bones and nutrition: common sense supplementation for osteoporosis.
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16 27
17 38
18 43
19 16
20 19

About Sunil J. Wimalawansa

Sunil J. Wimalawansa is a scholar working on Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Behavioral Neuroscience, having authored 208 papers that have together received 9.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (70 papers), Vitamin D Research Studies (41 papers) and Bone health and treatments (27 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.3k citations), Cellular and Molecular Neuroscience (2.3k citations) and Pathology and Forensic Medicine (2.2k citations). Sunil J. Wimalawansa has collaborated with scholars based in United States, United Kingdom and Sri Lanka. Frequent co-authors include Chandra Yallampalli, Pandu R. Gangula, I. MacIntyre, Rachel Pessah‐Pollack, Daniel L. Hurley, E. Michael Lewiecki, Steven M. Petak, Neil Binkley, Pauline M. Camacho and Steven T. Harris. Their work appears in journals such as The Lancet, Physical Review Letters and Journal of Biological Chemistry.

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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