Ru Wang

3.2k citations
177 papers · 2.1k · 1 hit paper · h-index 23

Impact in

Papers in

Ru Wang

162 papers receiving 2.1k citations

Ru Wang's Hit Papers

Exercise as a prescription for patients with various diseases 2019 · 297 citations
2970+2+4Years since publication50100150200250

Peers

Ru Wang
Comparison fields: 5 of 139
  • Rehabilitation 158
  • Complementary and alternative medicine 135
  • Physiology 375
  • Geriatrics and Gerontology 42
  • Physical Therapy, Sports Therapy and Rehabilitation 52
Replace André Luís Lacerda Bachi with:
André Luís Lacerda Bachi Brazil
Agnieszka Zembroń-Łacny Poland
Marco Romagnoli Spain
Diego Fernández‐Lázaro Spain
Kaoru Yamamoto Japan
Stéphanie Chevalier Canada
Marília Seelaender Brazil
Jun Song China
Yoshiharu Oshida Japan
Leslie W. Abad United States
Ru Wang relative to André Luís Lacerda Bachi Brazil André Luís Lacerda Bachi's profile →
Citations per field
00.5×2×3.5×
André Luís Lacerda Bachi · 1×
Citations per year

Countries citing papers authored by Ru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exercise as a prescription for patients with various diseases
Hit paper breakdown →
2019297
2 2015106
3 201689
4 200872
5 202366
6 201650
7 201244
8 201742
9 201538
10 201536
11 201532
12 201632
13 202132
14 202228
15 202327
16 202125
17 202025
18 201924
19 202324
20 201224

About Ru Wang

Ru Wang is a scholar working on Molecular Biology, Physiology, Surgery, Oncology and Epidemiology, having authored 177 papers that have together received 2.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Exercise and Physiological Responses (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Muscle metabolism and nutrition (7 papers), RNA modifications and cancer (6 papers), Head and Neck Cancer Studies (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Thyroid Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Rehabilitation (158 citations), Complementary and alternative medicine (135 citations), Physiology (375 citations), Geriatrics and Gerontology (42 citations) and Physical Therapy, Sports Therapy and Rehabilitation (52 citations). Ru Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peijie Chen, Na Li, Haixin Zhang, Rui Huang, Xiangyang Tian, Xin Luan, Dinghai Yu, Xue‐Qiang Wang, Guoyuan Huang and Sunny C. Huang. Their work appears in journals such as Journal of sport and health science, Medicine, Scientific Reports, Frontiers in Endocrinology and BMC Public Health.

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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