Ping Dai

1.7k total citations
82 papers, 1.4k citations indexed

About

Ping Dai is a scholar working on Molecular Biology, Analytical Chemistry and Physiology. According to data from OpenAlex, Ping Dai has authored 82 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Analytical Chemistry and 9 papers in Physiology. Recurrent topics in Ping Dai's work include Analytical chemistry methods development (9 papers), Adipose Tissue and Metabolism (8 papers) and Analytical Chemistry and Sensors (7 papers). Ping Dai is often cited by papers focused on Analytical chemistry methods development (9 papers), Adipose Tissue and Metabolism (8 papers) and Analytical Chemistry and Sensors (7 papers). Ping Dai collaborates with scholars based in China, Japan and United States. Ping Dai's co-authors include Tetsuro Takamatsu, Yoshinori Harada, Yukimasa Takeda, Takuo Nakagami, Shenguang Ge, Jinghua Yu, Toshikazu Yoshikawa, Hideo Tanaka, Masahito Oyamada and Yoshihisa Yamaoka and has published in prestigious journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Nature Methods.

In The Last Decade

Ping Dai

80 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Dai China 23 594 178 156 154 134 82 1.4k
Thomas S. Blacker United Kingdom 12 1.3k 2.2× 222 1.2× 125 0.8× 280 1.8× 209 1.6× 23 2.2k
Jianhua Wang China 17 592 1.0× 176 1.0× 206 1.3× 477 3.1× 31 0.2× 82 1.4k
Lu Chen China 23 725 1.2× 263 1.5× 149 1.0× 54 0.4× 92 0.7× 67 1.8k
Yuko Doi Japan 21 390 0.7× 92 0.5× 62 0.4× 89 0.6× 160 1.2× 76 1.6k
Andrea Bileck Austria 24 627 1.1× 98 0.6× 51 0.3× 135 0.9× 89 0.7× 76 1.6k
Guirong Ding China 21 269 0.5× 146 0.8× 70 0.4× 189 1.2× 47 0.4× 72 1.1k
Jagdeep K. Sandhu Canada 26 1.4k 2.4× 289 1.6× 150 1.0× 253 1.6× 159 1.2× 57 2.7k
Mayumi Kajimura Japan 24 931 1.6× 330 1.9× 88 0.6× 326 2.1× 120 0.9× 46 2.1k
Michał Fiedorowicz Poland 20 732 1.2× 135 0.8× 296 1.9× 95 0.6× 41 0.3× 51 1.5k
Peng Huang China 25 862 1.5× 129 0.7× 143 0.9× 95 0.6× 128 1.0× 82 1.8k

Countries citing papers authored by Ping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Dai

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

All Works

20 of 20 papers shown
1.
Takeda, Yukimasa, Toshikazu Yoshikawa, & Ping Dai. (2024). Angiotensin II participates in mitochondrial thermogenic functions via the activation of glycolysis in chemically induced human brown adipocytes. Scientific Reports. 14(1). 10789–10789. 1 indexed citations
2.
Dai, Ping, Jin Sun, Tongyue Zhang, et al.. (2024). Beware of the serious harm of veterinary drug poisoning: a case report. World Journal of Emergency Medicine. 15(2). 153–153.
3.
Dai, Ping, et al.. (2024). Fatal hyperpyrexia caused by xylazine: a case report. Frontiers in Pharmacology. 15. 1437960–1437960. 2 indexed citations
4.
Kurahashi, Toshihiro, Chiyoko Nishime, Yuji Komaki, et al.. (2023). Transplantation of Chemical Compound-Induced Cells from Human Fibroblasts Improves Locomotor Recovery in a Spinal Cord Injury Rat Model. International Journal of Molecular Sciences. 24(18). 13853–13853. 3 indexed citations
5.
Takeda, Yukimasa, Yoshinori Harada, Toshikazu Yoshikawa, & Ping Dai. (2023). Mitochondrial Energy Metabolism in the Regulation of Thermogenic Brown Fats and Human Metabolic Diseases. International Journal of Molecular Sciences. 24(2). 1352–1352. 34 indexed citations
6.
Guo, Lanlan, Zhiqiang Zhou, Ping Dai, et al.. (2023). Case report: occupational acute poisoning caused by the accidental release of lambda-cyhalothrin. 2. 5 indexed citations
7.
Dai, Ping, Tongyue Zhang, Lanlan Guo, et al.. (2023). Case report: Reversible splenial lesion syndrome caused by diquat poisoning. Frontiers in Neurology. 14. 1178272–1178272. 8 indexed citations
8.
Qian, Da, et al.. (2023). Expression and clinical significance of NCOA5 in epithelial ovarian cancer. Frontiers in Oncology. 13. 1117033–1117033. 1 indexed citations
9.
Takeda, Yukimasa & Ping Dai. (2022). Capsaicin directly promotes adipocyte browning in the chemical compound-induced brown adipocytes converted from human dermal fibroblasts. Scientific Reports. 12(1). 6612–6612. 27 indexed citations
10.
Li, Kaichun, Dong Zhou, Yu Liu, et al.. (2022). Size-transformable gelatin/nanochitosan/doxorubicin nanoparticles with sequentially triggered drug release for anticancer therapy. Colloids and Surfaces B Biointerfaces. 220. 112927–112927. 19 indexed citations
11.
Takeda, Yukimasa, Toshikazu Yoshikawa, & Ping Dai. (2021). Transcriptome analysis reveals brown adipogenic reprogramming in chemical compound-induced brown adipocytes converted from human dermal fibroblasts. Scientific Reports. 11(1). 5061–5061. 8 indexed citations
12.
Wu, Yiyun, Hui Gao, Ping Dai, et al.. (2020). Absent atherosclerotic risk factors are associated with carotid stiffening quantified with ultrafast ultrasound imaging. European Radiology. 31(5). 3195–3206. 12 indexed citations
13.
Xu, Yang, Jia Liu, Mu He, et al.. (2016). Mechanisms of PDGF siRNA-mediated inhibition of bone cancer pain in the spinal cord. Scientific Reports. 6(1). 27512–27512. 23 indexed citations
14.
Xiong, Liu‐Lin, Yan Tan, Hongyu Ma, et al.. (2016). Administration of SB239063, a potent p38 MAPK inhibitor, alleviates acute lung injury induced by intestinal ischemia reperfusion in rats associated with AQP4 downregulation. International Immunopharmacology. 38. 54–60. 45 indexed citations
15.
Dai, Ping, Yoshinori Harada, Hitoshi Miyachi, et al.. (2014). Combining TGF-β signal inhibition and connexin43 silencing for iPSC induction from mouse cardiomyocytes. Scientific Reports. 4(1). 7323–7323. 1 indexed citations
16.
17.
Harada, Yoshinori, Ping Dai, Yoshihisa Yamaoka, et al.. (2009). Intracellular dynamics of topoisomerase I inhibitor, CPT-11, by slit-scanning confocal Raman microscopy. Histochemistry and Cell Biology. 132(1). 39–46. 28 indexed citations
18.
Murayama, Yasutoshi, Yoshinori Harada, Ping Dai, et al.. (2009). Precise detection of lymph node metastases in mouse rectal cancer by using 5‐aminolevulinic acid. International Journal of Cancer. 125(10). 2256–2263. 30 indexed citations
19.
Dai, Ping. (2007). Diagnosis and numerical simulation of a tornado course in Liaoning Province in June 2005. Ziran zaihai xuebao. 1 indexed citations
20.
Dai, Ping, Takuo Nakagami, Hideo Tanaka, Toshiaki Hitomi, & Tetsuro Takamatsu. (2007). Cx43 Mediates TGF-β Signaling through Competitive Smads Binding to Microtubules. Molecular Biology of the Cell. 18(6). 2264–2273. 88 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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