Shan‐Shan Rao

3.8k citations
21 papers · 1.8k indexed · 3 hit papers · h-index 14

Shan‐Shan Rao

21 papers receiving 1.8k citations

Hit Papers

Glucocorticoid-induced loss of benefi...1182017202620202023100200300400

Peers

Shan‐Shan Rao
Comparison fields: 5 of 104
  • Rehabilitation 273
  • Cancer Research 529
  • Orthopedics and Sports Medicine 181
  • Genetics 202
  • Molecular Biology 1.2k
Replace Yi‐Juan Tan with:
Yi‐Juan Tan China
Hao Yin China
Tina Lucas Germany
Ting Kang China
Matthew Caley United Kingdom
E. Huet France
Akira Ishisaki Japan
Xiaodong Feng United States
Valentina Ulivi Italy
Yoshikiyo Akasaka Japan
Shan‐Shan Rao relative to Yi‐Juan Tan China Yi‐Juan Tan's profile →
Citations per field
00.5×1.7×
Yi‐Juan Tan · 1×
Citations per year

Countries citing papers authored by Shan‐Shan Rao

Since Specialization
Citations

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

Fields of papers citing papers by Shan‐Shan Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shan‐Shan Rao. 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 Shan‐Shan Rao. The network helps show where Shan‐Shan Rao may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202361
2 202318
3 20233
4
Glucocorticoid-induced loss of beneficial gut bacterial extracellular vesicles is associated with the pathogenesis of osteonecrosisbreakdown →
2022118
5 202256
6 2021114
7 202110
8 2020132
9 201956
10 201977
11 20198
12 2019214
13
Exosomal DMBT1 from human urine-derived stem cells facilitates diabetic wound repair by promoting angiogenesisbreakdown →
2018291
14 2018124
15
Exosomes from human umbilical cord blood accelerate cutaneous wound healing through miR-21-3p-mediated promotion of angiogenesis and fibroblast functionbreakdown →
2017444
16
Infliximab protects against pulmonary emphysema in smoking rats.
201118
17 20094
18
Pamidronate alters the growth plate in the oim mouse model for osteogenesis imperfecta.
20095
19 20088
20 200828

About Shan‐Shan Rao

Shan‐Shan Rao is a scholar working on Orthopedics and Sports Medicine, Rehabilitation and Cancer Research, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Bone health and treatments (5 papers), MicroRNA in disease regulation (5 papers), Wound Healing and Treatments (3 papers), Connective tissue disorders research (3 papers), Bone and Joint Diseases (3 papers), Circular RNAs in diseases (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Rehabilitation (273 citations), Cancer Research (529 citations) and Orthopedics and Sports Medicine (181 citations). Shan‐Shan Rao has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Hui Xie, Chun‐Yuan Chen, Zhen‐Xing Wang, Yi‐Juan Tan, Jia Cao, Yin Hu, Juan Luo, Hao Yin, Zhengzhao Liu and Jie Huang. Their work appears in journals such as Nanoscale, Science Advances and Journal of Biomechanics.

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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