Ting Wang

6.4k citations
272 papers · 4.4k · h-index 36

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

Ting Wang

254 papers receiving 4.4k citations

Peers

Ting Wang
Comparison fields: 5 of 134
  • Cancer Research 916
  • Molecular Biology 2.1k
  • Pulmonary and Respiratory Medicine 680
  • Oncology 470
  • Immunology 354
Replace Tong Liu with:
Tong Liu China
Xiang Xue China
Chin‐Wen Chi Taiwan
Jie Zhang China
Yong Lin United States
Su Wol Chung South Korea
Alexandru Irimie Romania
Tinghong Ye China
Juan Wang China
Xia Wang China
Ting Wang relative to Tong Liu China Tong Liu's profile →
Citations per field
00.5×1.6×
Tong Liu · 1×
Citations per year

Countries citing papers authored by Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 272 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016145
2 2020128
3 2007107
4 2015102
5
Ferulic acid inhibits proliferation and promotes apoptosis via blockage of PI3K/Akt pathway in osteosarcoma cell.
201695
6 201893
7 202076
8 201370
9 201069
10 200267
11 201863
12 201861
13 201660
14 201159
15 201657
16 201556
17 201856
18 201755
19 201353
20 201152

About Ting Wang

Ting Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Epidemiology and Oncology, having authored 272 papers that have together received 4.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (28 papers), Tracheal and airway disorders (18 papers), Autophagy in Disease and Therapy (17 papers), Ubiquitin and proteasome pathways (15 papers), Cancer-related molecular mechanisms research (15 papers), Glycosylation and Glycoproteins Research (13 papers), Circular RNAs in diseases (13 papers) and RNA modifications and cancer (11 papers). The work is most often cited by research in Cancer Research (916 citations), Molecular Biology (2.1k citations), Pulmonary and Respiratory Medicine (680 citations), Oncology (470 citations) and Immunology (354 citations). Ting Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yue Dai, Zhifeng Wei, Yufeng Xia, Yue Yang, Lufeng Zheng, Qianqian Guo, Tao Xi, Binmiao Liang, Xiaoman Li and Lei Gao. Their work appears in journals such as Medicine, Biochemical and Biophysical Research Communications, Annals of Surgical Oncology, Oncotarget and BMC Pulmonary Medicine.

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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