Ting Wang

6.2k citations
267 papers · 4.3k · h-index 35

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

248 papers receiving 4.2k citations

Peers

Ting Wang
Comparison fields: 5 of 134
  • Cancer Research 1.1k
  • Molecular Biology 2.4k
  • Pulmonary and Respiratory Medicine 765
  • Oncology 563
  • Immunology 419
Replace Xiang Xue with:
Xiang Xue China
Tong Liu China
Quancheng Kan China
Jie Zhang China
Juan Wang China
Mu‐Kuan Chen Taiwan
Zhangang Xiao China
Su Wol Chung South Korea
Angela Lombardi Italy
Yong Lin United States
Ting Wang relative to Xiang Xue China Xiang Xue's profile →
Citations per field
00.5×1.5×
Xiang Xue · 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 267 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016139
2 2020124
3 2007107
4 2015101
5
Ferulic acid inhibits proliferation and promotes apoptosis via blockage of PI3K/Akt pathway in osteosarcoma cell.
201695
6 201890
7 202074
8 201069
9 201368
10 200267
11 201863
12 201861
13 201660
14 201159
15 201556
16 201855
17 201654
18 201353
19 201753
20 202152

About Ting Wang

Ting Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Epidemiology, having authored 267 papers that have together received 4.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (31 papers), Cancer-related molecular mechanisms research (22 papers), Tracheal and airway disorders (19 papers), Autophagy in Disease and Therapy (19 papers), Ubiquitin and proteasome pathways (18 papers), Circular RNAs in diseases (16 papers), RNA modifications and cancer (14 papers) and Glycosylation and Glycoproteins Research (14 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.4k citations), Pulmonary and Respiratory Medicine (765 citations), Oncology (563 citations) and Immunology (419 citations). Ting Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yue Dai, Zhifeng Wei, Yufeng Xia, Lufeng Zheng, Yue Yang, Tao Xi, Qianqian Guo, Xiaoman Li, Binmiao Liang and Yulin Ji. Their work appears in journals such as Biochemical and Biophysical Research Communications, Medicine, Tumor Biology, Annals of Surgical Oncology and Scientific Reports.

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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