Ran Wang

3.6k citations
182 papers · 2.8k · h-index 28

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

Ran Wang

169 papers receiving 2.8k citations

Peers

Ran Wang
Comparison fields: 5 of 140
  • Cancer Research 741
  • Molecular Biology 1.3k
  • Pulmonary and Respiratory Medicine 457
  • Microbiology 10
  • Geriatrics and Gerontology 42
Replace Antônio Barbieri with:
Antônio Barbieri Italy
Chia‐Jung Li Taiwan
Hui Tao China
Shih‐Ming Huang Taiwan
Nasser Samadi Iran
Afsane Bahrami Iran
Ji‐Young Lee South Korea
Jing Rong Hu China
Ran Wang relative to Antônio Barbieri Italy Antônio Barbieri's profile →
Citations per field
00.5×2×3.3×
Antônio Barbieri · 1×
Citations per year

Countries citing papers authored by Ran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2
Increased expression of lncRNA HULC indicates a poor prognosis and promotes cell metastasis in osteosarcoma.
201597
3 201483
4 201967
5 202165
6 201961
7 201859
8 201557
9 201655
10 201254
11 202152
12 202051
13 201949
14 202049
15 201447
16 201542
17 201641
18 202138
19 201537
20 200837

About Ran Wang

Ran Wang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Immunology, having authored 182 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (20 papers), MicroRNA in disease regulation (17 papers), Pulmonary Hypertension Research and Treatments (16 papers), Circular RNAs in diseases (13 papers), RNA modifications and cancer (12 papers), Advanced biosensing and bioanalysis techniques (8 papers), Connective Tissue Growth Factor Research (7 papers) and Ferroptosis and cancer prognosis (5 papers). The work is most often cited by research in Cancer Research (741 citations), Molecular Biology (1.3k citations), Pulmonary and Respiratory Medicine (457 citations), Microbiology (10 citations) and Geriatrics and Gerontology (42 citations). Ran Wang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Sijing Zhou, Daxiong Zeng, Guang-He Fei, Xiaohui Sun, Yi Liu, Xiansheng Liu, Yongjian Xu, Qingqing Ouyang, Peipei Wu and Jinjun Zhao. Their work appears in journals such as Frontiers in Oncology, Advanced Functional Materials, Journal of Cellular Biochemistry, Oncotarget and Cellular Physiology and Biochemistry.

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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