Ru Wang

587 citations
25 papers · 367 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 4
    • Circular RNAs in diseases 3
    • Cancer-related molecular mechanisms research 3
    • MicroRNA in disease regulation 2
    • Cancer, Hypoxia, and Metabolism 2

Ru Wang

22 papers receiving 352 citations

Peers

Ru Wang
Comparison fields: 5 of 98
  • Human-Computer Interaction 38
  • Signal Processing 74
  • Cancer Research 74
  • Information Systems 101
  • Molecular Biology 120
Replace Kun Peng with:
Kun Peng China
David Lu United States
Youqi Li China
Xiaolan Zhu China
Zaifeng Zhang China
Sheng-Ming Wang China
Han Liu China
Athanasios Fevgas Greece
Kyoji Hirata Japan
Ru Wang relative to Kun Peng China Kun Peng's profile →
Citations per field
00.5×4.9×
Kun Peng · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199797
2 202162
3 199637
4 201626
5 202120
6 202119
7 202118
8 202114
9 202113
10 202113
11 20209
12 20218
13 20248
14 20245
15 20194
16 20243
17
Chemical constituents of Tribulus terrestris L.
20093
18
TRIPLOID INDUCTION IN CHLAMYS FARRERI BY APPLICATION OF 6-DIMTHYLAMINOPURINE
19993
19 20232
20
Effects of sodium ferulate on Bcl-2 and Bax expression in septic rats kidney
20111

About Ru Wang

Ru Wang is a scholar working on Molecular Biology, Cancer Research, Information Systems, Physiology and Clinical Psychology, having authored 25 papers that have together received 367 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Thyroid Disorders and Treatments (2 papers), MicroRNA in disease regulation (2 papers), Adipose Tissue and Metabolism (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Information and Cyber Security (2 papers). The work is most often cited by research in Human-Computer Interaction (38 citations), Signal Processing (74 citations), Cancer Research (74 citations), Information Systems (101 citations) and Molecular Biology (120 citations). Ru Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jan H. P. Eloff, Hongzhi Ma, Yufeng Wang, Yayun Zhu, Kangsheng Tu, Haiquan Lu, Yongkang Yang, Qingguang Liu, Gregg L. Semenza and Qiuran Xu. Their work appears in journals such as ACS Medicinal Chemistry Letters, Cell Reports, Frontiers in Psychology, Science Advances and OncoTargets and Therapy.

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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