Pingqing Tan

964 citations
24 papers · 659 · h-index 13

Impact in

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

Papers in

Pingqing Tan

23 papers receiving 658 citations

Peers

Pingqing Tan
Comparison fields: 5 of 70
  • Cancer Research 249
  • Molecular Biology 395
  • Clinical Biochemistry 31
  • Otorhinolaryngology 17
  • Oncology 84
Replace Yanmei Cui with:
Yanmei Cui China
Sung‐Wei Lee Taiwan
Ricardo Rezola Spain
Xuan Kan China
Olena Masui Canada
Chia-Ing Jan Taiwan
Matias Casás‐Selves United States
Yusuke Ono Japan
Keda Yang China
Yuli Jia China
Pingqing Tan relative to Yanmei Cui China Yanmei Cui's profile →
Citations per field
00.5×2×4×6.2×
Yanmei Cui · 1×
Citations per year

Countries citing papers authored by Pingqing Tan

Since Specialization
Citations

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

Fields of papers citing papers by Pingqing Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020137
2 201069
3 202061
4 201944
5 201442
6 201941
7 201938
8 202134
9 202029
10 201127
11 202227
12
MiR-98 inhibits malignant progression via targeting MTDH in squamous cell carcinoma of the head and neck.
201724
13 201820
14 201411
15 202211
16 201111
17 201210
18 20199
19 20198
20 20153

About Pingqing Tan

Pingqing Tan is a scholar working on Cancer Research, Otorhinolaryngology, Physiology, Oncology and Cell Biology, having authored 24 papers that have together received 659 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Cancer-related gene regulation (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Epigenetics and DNA Methylation (3 papers), Head and Neck Cancer Studies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Autophagy in Disease and Therapy (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (249 citations), Molecular Biology (395 citations), Clinical Biochemistry (31 citations), Otorhinolaryngology (17 citations) and Oncology (84 citations). Pingqing Tan has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Yuanzheng Qiu, Junjun Li, Donghai Huang, Yongquan Tian, Xiayu Li, Bo Xiang, Mei Yi, Yong Liu, Yixin Tan and Jing Cai. Their work appears in journals such as Journal of Cancer, European Radiology, Journal of Cellular and Molecular Medicine, Medical Oncology and Molecular Oncology.

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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