Pingqing Tan

937 citations
27 papers · 641 · h-index 13

Impact in

Papers in

    • Cancer-related gene regulation 8
    • RNA modifications and cancer 4
    • Epigenetics and DNA Methylation 3
    • Peptidase Inhibition and Analysis 2

Pingqing Tan

25 papers receiving 640 citations

Peers

Pingqing Tan
Comparison fields: 5 of 72
  • Cancer Research 300
  • Otorhinolaryngology 36
  • Molecular Biology 460
  • Clinical Biochemistry 37
  • Oncology 105
Replace Ricardo Rezola with:
Ricardo Rezola Spain
Tzu‐Ju Chen Taiwan
Leilei Tao China
Xuan Kan China
Weimin Mao China
M. Ángeles Villaronga Spain
Yanmei Cui China
Tamako Konkin United States
Ulrike Hopfer Germany
Bingsheng Sun China
Pingqing Tan relative to Ricardo Rezola Spain Ricardo Rezola's profile →
Citations per field
00.5×9.3×
Ricardo Rezola · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020134
2 201068
3 202060
4 201942
5 201940
6 201439
7 201936
8 202029
9 202129
10 201127
11 202224
12
MiR-98 inhibits malignant progression via targeting MTDH in squamous cell carcinoma of the head and neck.
201723
13 201821
14 201411
15 201111
16 201210
17 20198
18 20228
19 20197
20
[The expression and correlation of HMGB1 and VEGF protein in laryngeal squamous cell carcinoma].
20114

About Pingqing Tan

Pingqing Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 641 indexed citations. Recurring topics across this work include Cancer-related gene regulation (8 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Head and Neck Cancer Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Peptidase Inhibition and Analysis (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (300 citations), Otorhinolaryngology (36 citations), Molecular Biology (460 citations), Clinical Biochemistry (37 citations) and Oncology (105 citations). Pingqing Tan has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Yuanzheng Qiu, Donghai Huang, Junjun Li, Yongquan Tian, Xiayu Li, Yixin Tan, Mei Yi, Guiyuan Li, Jing Cai and Bo Xiang. Their work appears in journals such as Journal of Cancer, European Radiology, Molecular Oncology, Oncology Reports and Journal of Proteome Research.

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.

Explore authors with similar magnitude of impact