Pingping Dai

629 total citations
16 papers, 181 citations indexed

About

Pingping Dai is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology. According to data from OpenAlex, Pingping Dai has authored 16 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 7 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Pingping Dai's work include Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (6 papers) and BRCA gene mutations in cancer (3 papers). Pingping Dai is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Lung Cancer Treatments and Mutations (6 papers) and BRCA gene mutations in cancer (3 papers). Pingping Dai collaborates with scholars based in China, United States and Hong Kong. Pingping Dai's co-authors include Yanfang Guan, Hao Zhou, Rongshan Yu, Jian Su, Wen‐Zhao Zhong, Jintian Xu, Si‐Yang Maggie Liu, Yi‐Long Wu, Chong‐Rui Xu and Xin Yi and has published in prestigious journals such as Journal of Clinical Oncology, Energy Policy and Journal of Medical Genetics.

In The Last Decade

Pingping Dai

12 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingping Dai China 4 78 71 70 70 19 16 181
Yu‐Le Yong China 9 101 1.3× 52 0.7× 174 2.5× 62 0.9× 70 3.7× 12 301
Renchang Zhao China 9 31 0.4× 34 0.5× 185 2.6× 138 2.0× 18 0.9× 10 272
Yuhong Cai China 7 68 0.9× 44 0.6× 162 2.3× 146 2.1× 54 2.8× 8 316
Junkai Chang China 11 19 0.2× 57 0.8× 231 3.3× 205 2.9× 12 0.6× 18 330
Sara Bastian Switzerland 6 118 1.5× 34 0.5× 44 0.6× 12 0.2× 32 1.7× 18 163
Zhenghao Cai China 8 92 1.2× 73 1.0× 46 0.7× 37 0.5× 11 0.6× 25 217
Santiyagu M. Savarimuthu Francis Australia 9 71 0.9× 153 2.2× 145 2.1× 95 1.4× 46 2.4× 15 339
Michał Piotr Budzik Poland 8 66 0.8× 34 0.5× 60 0.9× 66 0.9× 10 0.5× 22 190
Brad Foulk United States 6 109 1.4× 67 0.9× 94 1.3× 69 1.0× 22 1.2× 12 208

Countries citing papers authored by Pingping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Pingping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingping Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Dai. A scholar is included among the top collaborators of Pingping Dai 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 Pingping Dai. Pingping Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Dai, Pingping, et al.. (2023). A Lightweight Super-resolution Network with Skip-connections. Current Medical Imaging Formerly Current Medical Imaging Reviews. 20.
2.
Shao, Kang, Shoufang Qu, Wenxin Zhang, et al.. (2021). Comprehensive evaluation of BRCA1/2 variant interpretation ability among laboratories in China. Journal of Medical Genetics. 59(3). 230–236.
3.
Sun, Hao, Si‐Yang Maggie Liu, Jiaying Zhou, et al.. (2020). Specific TP53 subtype as biomarker for immune checkpoint inhibitors in lung adenocarcinoma. EBioMedicine. 60. 102990–102990. 113 indexed citations
4.
Zhang, Biao, Yongsheng Chen, Pingping Dai, et al.. (2020). Oncogenic mutations within the β3‐αC loop of EGFR/ERBB2/BRAF/MAP2K1 predict response to therapies. Molecular Genetics & Genomic Medicine. 8(10). e1395–e1395. 5 indexed citations
5.
Li, Bin, Jun Bai, Lingjun Zhu, et al.. (2020). Application of next generation sequencing (NGS) in gastrointestinal stromal tumor (GIST).. Journal of Clinical Oncology. 38(15_suppl). e13675–e13675. 1 indexed citations
6.
Gao, Yang, Jian‐An Huang, Yukun Zu, et al.. (2020). Analysis of mutation detection of POLD1/pole in pan-cancer.. Journal of Clinical Oncology. 38(15_suppl). 3142–3142. 1 indexed citations
7.
Ma, Fei, Lixi Li, Zongbi Yi, et al.. (2020). The prevalence of BRCA1/2 germline mutation in Chinese pan-cancer.. Journal of Clinical Oncology. 38(15_suppl). e13684–e13684. 1 indexed citations
8.
Zhu, Lingjun, Yan Zhang, Pingping Dai, et al.. (2019). Association of secondary somatic mutations in BRCA1/2 with clinical resistance to PARP inhibitors and chemotherapy.. Journal of Clinical Oncology. 37(15_suppl). 1087–1087.
9.
Shi, Chunmei, Yan Zhang, Lingjun Zhu, et al.. (2019). Analysis of mutation detection in cell-free DNA in ascites using comprehensive NGS panel.. Journal of Clinical Oncology. 37(15_suppl). e13029–e13029. 1 indexed citations
10.
Ouyang, Quchang, Jie Gao, Jun Huang, et al.. (2019). Landscape of multilocus inherited neoplasia alleles syndrome in China.. Journal of Clinical Oncology. 37(15_suppl). e13027–e13027. 1 indexed citations
11.
Yang, Jin‐Ji, Chi Zhang, Jun Zhao, et al.. (2019). ALK resistance mutations and co-occurring genetic alterations to the ALK tyrosine kinase inhibitors in lung cancer.. Journal of Clinical Oncology. 37(15_suppl). e20675–e20675.
12.
Zhao, Jun, Qichao Xie, Pingping Dai, et al.. (2018). Exploring the association between somatic molecular features and tumor mutation burden in 513 non–small-cell lung cancer.. Journal of Clinical Oncology. 36(15_suppl). 12101–12101. 1 indexed citations
13.
Zhang, Yan, Jun Zhao, Renhua Guo, et al.. (2018). Landscape of osimertinib resistant mutations between the two common subtypes of EGFR 19del or L858R in NSCLC.. Journal of Clinical Oncology. 36(15_suppl). 12108–12108. 3 indexed citations
14.
Dai, Pingping, Congcong Zhu, Mingyu Zhao, et al.. (2017). OA 18.01 Paired Tumor-Normal Next-Generation Sequencing (NGS) to Identify Pathogenic / Likely Pathogenic Germline Mutations in Lung Cancer Patients. Journal of Thoracic Oncology. 12(11). S1795–S1795. 1 indexed citations
15.
Guan, Yanfang, Hong Hu, Yuhua Gong, et al.. (2014). Detection of inherited mutations for hereditary cancer using target enrichment and next generation sequencing. Familial Cancer. 14(1). 9–18. 18 indexed citations
16.
Zhou, Hao, et al.. (2013). Life cycle carbon emission flow analysis for electricity supply system: A case study of China. Energy Policy. 61. 1276–1284. 35 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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