Ning Sun

49 papers receiving 2.7k citations

Ning Sun's Hit Papers

Targeted Deletion of the Sclerostin Gene in Mice Results in Increased Bone Formation and Bone Strength 2008 · 800 citations
8000+6+12Years since publication250500750

Peers

Ning Sun
Comparison fields: 5 of 121
  • Orthopedics and Sports Medicine 432
  • Neurology 241
  • Oncology 751
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 301
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Ning Sun relative to Takao Satou Japan Takao Satou's profile →
Citations per field
00.5×2×4×6×7.1×
Takao Satou · 1×
Citations per year

Countries citing papers authored by Ning Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ning Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Targeted Deletion of the Sclerostin Gene in Mice Results in Increased Bone Formation and Bone Strength
Hit paper breakdown →
2008800
2 2008365
3 1994239
4 2006140
5 2017112
6 1997107
7 201883
8 199675
9 202364
10 200759
11 199858
12 199550
13 201450
14 199646
15 199745
16 200542
17 201139
18 201439
19 200831
20 201030

About Ning Sun

Ning Sun is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cancer Research and Physiology, having authored 49 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Laser-Matter Interactions and Applications (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Pain Mechanisms and Treatments (4 papers), Cell death mechanisms and regulation (4 papers), S100 Proteins and Annexins (4 papers) and Acupuncture Treatment Research Studies (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (432 citations), Neurology (241 citations), Oncology (751 citations), Molecular Biology (1.4k citations) and Cellular and Molecular Neuroscience (301 citations). Ning Sun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Steven S. Schreiber, Shahin Sakhi, Georges Tocco, Michel Baudry, Jing Shi, Sidney S. Schreiber, Alexander Bruce, Berislav V. Zloković, Zhiqun Tan and Liang Wang. Their work appears in journals such as Physical Review A, Neurosurgery, Proceedings of the National Academy of Sciences, Journal of Bone and Mineral Research and Brain Research.

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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