Jian‐Ping Cai

3.0k total citations
110 papers, 2.0k citations indexed

About

Jian‐Ping Cai is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Jian‐Ping Cai has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 30 papers in Pharmacology and 20 papers in Oncology. Recurrent topics in Jian‐Ping Cai's work include Pharmacogenetics and Drug Metabolism (27 papers), DNA Repair Mechanisms (18 papers) and Drug Transport and Resistance Mechanisms (11 papers). Jian‐Ping Cai is often cited by papers focused on Pharmacogenetics and Drug Metabolism (27 papers), DNA Repair Mechanisms (18 papers) and Drug Transport and Resistance Mechanisms (11 papers). Jian‐Ping Cai collaborates with scholars based in China, Japan and United States. Jian‐Ping Cai's co-authors include Da‐Peng Dai, Guoxin Hu, Mutsuo Sekiguchi, Hiroshi Hayakawa, Yasumitsu Takagi, Wei Gan, Peiwu Geng, Shuanghu Wang, Ben Nie and Fei Shi and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Jian‐Ping Cai

107 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian‐Ping Cai China 25 960 422 268 239 192 110 2.0k
Yuxia Zhao China 27 1.0k 1.1× 216 0.5× 180 0.7× 240 1.0× 174 0.9× 67 2.3k
Yan Weng China 29 1.4k 1.5× 471 1.1× 336 1.3× 175 0.7× 203 1.1× 86 2.7k
Xu Han China 27 971 1.0× 379 0.9× 179 0.7× 228 1.0× 172 0.9× 53 2.3k
Radim Vrzal Czechia 27 748 0.8× 590 1.4× 481 1.8× 141 0.6× 222 1.2× 80 2.2k
Christoph Köhle Germany 25 1.1k 1.1× 411 1.0× 343 1.3× 395 1.7× 127 0.7× 38 2.3k
Xiaoyan Zhao China 27 985 1.0× 249 0.6× 225 0.8× 301 1.3× 317 1.7× 99 2.3k
Xi Chu China 26 844 0.9× 247 0.6× 248 0.9× 149 0.6× 99 0.5× 98 2.0k
Jianping Zhang China 28 852 0.9× 301 0.7× 502 1.9× 118 0.5× 171 0.9× 114 2.3k
Keon Wook Kang South Korea 30 1.7k 1.8× 226 0.5× 335 1.3× 295 1.2× 178 0.9× 87 2.7k
Li Liu China 28 951 1.0× 439 1.0× 505 1.9× 91 0.4× 235 1.2× 151 2.3k

Countries citing papers authored by Jian‐Ping Cai

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Ping Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian‐Ping Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Ping Cai. A scholar is included among the top collaborators of Jian‐Ping Cai 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 Jian‐Ping Cai. Jian‐Ping Cai 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
2.
Li, Jin, He Zhang, Zhenhe Wang, et al.. (2023). 8-oxo-dGTP curbs tumor development via S phase arrest and AIF-mediated apoptosis. Free Radical Biology and Medicine. 196. 53–64. 3 indexed citations
3.
Li, Qingqing, Jing Wang, Yuxin Shen, et al.. (2023). The impacts of CYP3A4 genetic polymorphism and drug interactions on the metabolism of lurasidone. Biomedicine & Pharmacotherapy. 168. 115833–115833. 5 indexed citations
4.
Huo, Da, Chi Zhang, Liqun Zhang, et al.. (2023). Serum glycoprotein non-metastatic melanoma protein B (GPNMB) level as a potential biomarker for diabetes mellitus-related cataract: A cross-sectional study. Frontiers in Endocrinology. 14. 1110337–1110337. 4 indexed citations
5.
Zhang, Wei, Yue Zhao, Qian Liu, et al.. (2023). Colonic L-cell impairment in aged subjects with type 2 diabetes leads to diminished GLP-1 production. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(12). 102907–102907. 4 indexed citations
6.
Zhou, X.‐Y., et al.. (2022). The novel HLA‐C*03 allele, HLA‐C*03:597, identified in a Chinese patient. HLA. 100(5). 534–536. 1 indexed citations
7.
Jiang, Shan, Ju Cui, Liqun Zhang, et al.. (2022). Role of a Urinary Biomarker in the Common Mechanism of Physical Performance and Cognitive Function. Frontiers in Medicine. 9. 816822–816822. 2 indexed citations
8.
Yao, Simin, Peipei Zheng, Wei He, et al.. (2021). Urinary 8-OxoGsn as a Potential Indicator of Mild Cognitive Impairment in Frail Patients With Cardiovascular Disease. Frontiers in Aging Neuroscience. 13. 672548–672548. 3 indexed citations
9.
Cai, Jian‐Ping, et al.. (2020). Efficacy and safety of epidural steroid injection following discectomy for patients with lumbar disc herniation. Medicine. 99(29). e21220–e21220. 7 indexed citations
10.
Liang, Yaodan, Qian Liu, Zhen Liu, et al.. (2020). Urinary 8-oxo-7,8-dihydroguanosine as a potential biomarker of frailty for elderly patients with cardiovascular disease. Free Radical Biology and Medicine. 152. 248–254. 15 indexed citations
11.
Li, Xiangyu, Ban Zhao, Li‐Qun Zhang, et al.. (2018). The Ratio of Plasma and Urinary 8‐oxo‐Gsn Could Be a Novel Evaluation Index for Patients with Chronic Kidney Disease. Oxidative Medicine and Cellular Longevity. 2018(1). 4237812–4237812. 10 indexed citations
12.
Zhou, X.‐Y., et al.. (2017). Functional characterization of CYP2C19 variants in nebivolol 4‐hydroxlation in vitro. Drug Testing and Analysis. 10(5). 807–813. 10 indexed citations
13.
Hu, Jihong, et al.. (2015). Effect of <b><i>CYP2C9</i></b> Genetic Polymorphism in a Chinese Population on the Metabolism of Mestranol in vitro. Pharmacology. 95(5-6). 218–223. 7 indexed citations
14.
Liang, Bingqing, et al.. (2015). Effect of 24 Cytochrome P450 2D6 Variants Found in the Chinese Population on Atomoxetine Metabolism in vitro. Pharmacology. 97(1-2). 78–83. 7 indexed citations
15.
Song, Wenjie, Ping Jiang, Jian‐Ping Cai, & Zhiqiang Zheng. (2015). Expression of Cytoplasmic 8-oxo-Gsn and MTH1 Correlates with Pathological Grading in Human Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 16(15). 6335–6338. 15 indexed citations
16.
Wang, Zhenhe, et al.. (2015). Effects of 24 CYP2D6 Variants Found in the Chinese Population on the Metabolism of Risperidone. Pharmacology. 96(5-6). 290–295. 8 indexed citations
17.
Li, Cong, Jian‐Ping Cai, Jingshu Geng, et al.. (2012). Purification, characterization and anticancer activity of a polysaccharide from Panax ginseng. International Journal of Biological Macromolecules. 51(5). 968–973. 68 indexed citations
18.
Shi, Fei, Wei Gan, Ben Nie, et al.. (2012). Greater nucleic acids oxidation in the temporal lobe than the frontal lobe in SAMP8. Neuroreport. 23(8). 508–512. 1 indexed citations
19.
Zhang, Liqun, Dongge Liu, Jing Lin, et al.. (2011). Oxidative Damage to RNA and Expression Patterns of MTH1 in the Hippocampi of Senescence-Accelerated SAMP8 Mice and Alzheimer’s Disease Patients. Neurochemical Research. 36(8). 1558–1565. 32 indexed citations
20.
Cai, Jian‐Ping, et al.. (2005). Development of a Method for Concentrating and Purifying SARS Coronavirus RNA by a Magnetic Bead Capture System. DNA and Cell Biology. 24(8). 479–484. 9 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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