Renkai Wang

631 citations
20 papers · 448 indexed · h-index 11

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Renkai Wang

19 papers receiving 445 citations

Peers

Renkai Wang
Comparison fields: 5 of 63
  • Physiology 56
  • Cancer Research 175
  • Aquatic Science 36
  • Molecular Biology 233
  • Genetics 91
Replace Kenta Kishimoto with:
Kenta Kishimoto Japan
Marı́a Imschenetzky Chile
Jean Bocquet France
Yuko S. Askew United States
Quang Tien Phan Singapore
Park Is South Korea
Xinhao Fan China
Danny C. LeBert United States
Renkai Wang relative to Kenta Kishimoto Japan Kenta Kishimoto's profile →
Citations per field
00.5×5.5×
Kenta Kishimoto · 1×
Citations per year

Countries citing papers authored by Renkai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Renkai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017128
2 201863
3 202056
4 201947
5 202137
6 201722
7 202115
8 201815
9 202114
10 201813
11 201710
12 20217
13 20225
14 20205
15 20194
16 20223
17 20232
18 20241
19 20231
20 20250

About Renkai Wang

Renkai Wang is a scholar working on Orthopedics and Sports Medicine, Cancer Research, Developmental Neuroscience, Immunology and Cell Biology, having authored 20 papers that have together received 448 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Aquaculture disease management and microbiota (3 papers), Tendon Structure and Treatment (3 papers), melanin and skin pigmentation (3 papers), Bone fractures and treatments (3 papers), Physiological and biochemical adaptations (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Physiology (56 citations), Cancer Research (175 citations), Aquatic Science (36 citations), Molecular Biology (233 citations) and Genetics (91 citations). Renkai Wang has collaborated with scholars based in China and Spain. Frequent co-authors include Songlin Chen, Hao Tang, Fang Ji, Na Wang, Wenbin Ding, Qiang Wei, Guangchao Wang, Chen Ding, Di Li and Dajiang Wu. Their work appears in journals such as Fish Physiology and Biochemistry, Frontiers in Endocrinology, Journal of Orthopaedic Surgery and Research, Comparative Biochemistry and Physiology Part D Genomics and Proteomics and Cell Death and Disease.

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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