Pingting Ying

599 total citations
17 papers, 321 citations indexed

About

Pingting Ying is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pingting Ying has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Pingting Ying's work include RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (6 papers). Pingting Ying is often cited by papers focused on RNA modifications and cancer (9 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (6 papers). Pingting Ying collaborates with scholars based in China. Pingting Ying's co-authors include Rong Zhong, Jianbo Tian, Xiaoping Miao, Ying Zhu, Jiang Chang, Xiating Peng, Danyi Zou, Xiaoyang Wang, Shufang Mei and Juntao Ke and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Pingting Ying

17 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingting Ying China 10 275 128 45 35 32 17 321
Xiaoling Ling China 10 178 0.6× 124 1.0× 62 1.4× 21 0.6× 5 0.2× 20 281
Saiyan Bian China 10 231 0.8× 109 0.9× 51 1.1× 10 0.3× 8 0.3× 18 292
Laura Roca-Alonso United Kingdom 7 299 1.1× 259 2.0× 47 1.0× 12 0.3× 4 0.1× 8 406
Tommaso Tabaglio United States 6 413 1.5× 210 1.6× 47 1.0× 14 0.4× 9 0.3× 9 463
Diyu Hou China 10 213 0.8× 114 0.9× 57 1.3× 9 0.3× 5 0.2× 17 334
Pengbo Zhang China 8 286 1.0× 195 1.5× 61 1.4× 11 0.3× 21 0.7× 11 336
Hsiao-Ching Chuang United States 9 345 1.3× 81 0.6× 152 3.4× 27 0.8× 16 0.5× 9 417
Zhonghai Guan China 8 280 1.0× 189 1.5× 78 1.7× 14 0.4× 9 0.3× 18 370
Merlin Airik United States 11 165 0.6× 26 0.2× 35 0.8× 63 1.8× 10 0.3× 14 248
Yiran Si China 9 227 0.8× 194 1.5× 81 1.8× 16 0.5× 6 0.2× 24 347

Countries citing papers authored by Pingting Ying

Since Specialization
Citations

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

Fields of papers citing papers by Pingting Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingting Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Pingting Ying. A scholar is included among the top collaborators of Pingting Ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingting Ying. Pingting Ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wang, Yufei, Yanmei Wang, Jia Zhou, et al.. (2023). A novel coiled-coil domain containing-related gene signature for predicting prognosis and treatment effect of breast cancer. Journal of Cancer Research and Clinical Oncology. 149(15). 14205–14225. 1 indexed citations
2.
Zhang, Jianping, Zhuo Wang, Liyuan Zhu, et al.. (2023). Estrogen receptor α inhibits Caveolin 1 translation by promoting m6A-dependent miR199a-5p maturation to confer nab-paclitaxel resistance.. PubMed. 13(12). 6210–6225. 1 indexed citations
3.
Zhu, Ying, Xiating Peng, Xiaoyang Wang, et al.. (2022). Systematic analysis on expression quantitative trait loci identifies a novel regulatory variant in ring finger and WD repeat domain 3 associated with prognosis of pancreatic cancer. Chinese Medical Journal. 135(11). 1348–1357. 3 indexed citations
4.
Ying, Pingting, Yao Li, Nan Yang, et al.. (2021). Identification of genetic variants in m6A modification genes associated with pancreatic cancer risk in the Chinese population. Archives of Toxicology. 95(3). 1117–1128. 19 indexed citations
5.
Zhong, Rong, Heng He, Meng Jin, et al.. (2021). Genome-wide gene-bisphenol A, F and triclosan interaction analyses on urinary oxidative stress markers. The Science of The Total Environment. 807(Pt 1). 150753–150753. 18 indexed citations
6.
Zhu, Ying, Jianbo Tian, Xiating Peng, et al.. (2021). A genetic variant conferred high expression of CAV2 promotes pancreatic cancer progression and associates with poor prognosis. European Journal of Cancer. 151. 94–105. 13 indexed citations
7.
Wang, Haoxue, Ying Zhu, Hongda Chen, et al.. (2021). Colorectal cancer risk variant rs7017386 modulates two oncogenic lncRNAs expression via ATF1-mediated long-range chromatin loop. Cancer Letters. 518. 140–151. 8 indexed citations
8.
Tian, Jianbo, Zequn Lu, Siyuan Niu, et al.. (2021). Aberrant MCM10 SUMOylation induces genomic instability mediated by a genetic variant associated with survival of esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 11(6). e485–e485. 15 indexed citations
9.
Wang, Xiaoyang, Jianbo Tian, Qianyu Zhao, et al.. (2020). Functional characterization of a low-frequency V1937I variant in FASN associated with susceptibility to esophageal squamous cell carcinoma. Archives of Toxicology. 94(6). 2039–2046. 9 indexed citations
10.
Tian, Jianbo, Ying Zhu, Yimin Cai, et al.. (2020). N 6 -methyladenosine mRNA methylation of PIK3CB regulates AKT signalling to promote PTEN-deficient pancreatic cancer progression. Gut. 69(12). 2180–2192. 66 indexed citations
11.
Yang, Nan, Pingting Ying, Jianbo Tian, et al.. (2020). Genetic variants in m6A modification genes are associated with esophageal squamous-cell carcinoma in the Chinese population. Carcinogenesis. 41(6). 761–768. 40 indexed citations
12.
Tian, Jianbo, Yimin Cai, Yue Li, et al.. (2020). CancerImmunityQTL: a database to systematically evaluate the impact of genetic variants on immune infiltration in human cancer. Nucleic Acids Research. 49(D1). D1065–D1073. 22 indexed citations
13.
Ke, Juntao, Jianbo Tian, Shufang Mei, et al.. (2020). Genetic Predisposition to Colon and Rectal Adenocarcinoma Is Mediated by a Super-enhancer Polymorphism CoactivatingCD9andPLEKHG6. Cancer Epidemiology Biomarkers & Prevention. 29(4). 850–859. 7 indexed citations
14.
Mei, Shufang, Juntao Ke, Jianbo Tian, et al.. (2019). A functional variant in the boundary of a topological association domain is associated with pancreatic cancer risk. Molecular Carcinogenesis. 58(10). 1855–1862. 12 indexed citations
15.
Ke, Juntao, Xiating Peng, Shufang Mei, et al.. (2019). Evaluation of polymorphisms in microRNA‐binding sites and pancreatic cancer risk in Chinese population. Journal of Cellular and Molecular Medicine. 24(3). 2252–2259. 7 indexed citations
16.
Tian, Jianbo, Pingting Ying, Juntao Ke, et al.. (2019). ANKLE1 N6‐Methyladenosine‐related variant is associated with colorectal cancer risk by maintaining the genomic stability. International Journal of Cancer. 146(12). 3281–3293. 41 indexed citations
17.
Yang, Yang, Xiating Peng, Pingting Ying, et al.. (2018). AWESOME: a database of SNPs that affect protein post-translational modifications. Nucleic Acids Research. 47(D1). D874–D880. 39 indexed citations

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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