Jingbo Peng

882 total citations
33 papers, 576 citations indexed

About

Jingbo Peng is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Jingbo Peng has authored 33 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Pharmacology and 7 papers in Complementary and alternative medicine. Recurrent topics in Jingbo Peng's work include Metabolomics and Mass Spectrometry Studies (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Pharmacological Effects of Natural Compounds (6 papers). Jingbo Peng is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Pharmacological Effects of Natural Compounds (6 papers). Jingbo Peng collaborates with scholars based in China, United States and Macao. Jingbo Peng's co-authors include Yao Chen, Zhong‐Mei Zou, Tai Rao, Zhi‐Rong Tan, Zhaoqian Liu, Dongsheng Ouyang, Hongwu Zhang, Wei Zhang, Hong‐Hao Zhou and Ying Guo and has published in prestigious journals such as PLoS ONE, Molecules and BioMed Research International.

In The Last Decade

Jingbo Peng

33 papers receiving 569 citations

Peers

Jingbo Peng
Xiaoyao Ma China
Miaomiao Liu China
Rosa Huang Liu Taiwan
Amrita Devi Khwairakpam India
Dahae Lee South Korea
Binan Lu China
Lingyun Fu China
Naomi Oi United States
Yuu Osanai Japan
Xiaoyao Ma China
Jingbo Peng
Citations per year, relative to Jingbo Peng Jingbo Peng (= 1×) peers Xiaoyao Ma

Countries citing papers authored by Jingbo Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jingbo Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingbo Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jingbo Peng. A scholar is included among the top collaborators of Jingbo Peng 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 Jingbo Peng. Jingbo Peng 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.
Liu, Jing, Shao Li, Jingbo Peng, et al.. (2025). Metabolic characteristics of saponins from Panax notoginseng leaves biotransformed by gut microbiota in rats. Analytical Methods. 17(5). 972–989. 1 indexed citations
2.
Tang, Xiaojun, et al.. (2023). An adaptive event‐triggered H∞control framework for nonlinear networked control systems with dual‐channel quantization. Asian Journal of Control. 26(4). 1734–1748. 3 indexed citations
3.
Yang, Qingyu, et al.. (2023). Fuzzy H∞ robust control for T-S aero-engine systems with network-induced factors under round-robin-like protocol. Aerospace Science and Technology. 137. 108258–108258. 9 indexed citations
4.
Xu, Ying, Lijie Chen, Yu‐Ligh Liou, et al.. (2022). A Joint Technology Combining the Advantages of Capillary Microsampling with Mass Spectrometry Applied to the Trans‐Resveratrol Pharmacokinetic Study in Mice. Journal of Analytical Methods in Chemistry. 2022(1). 5952436–5952436. 6 indexed citations
5.
Yu, Jing, Dongli Hu, Yu Cheng, et al.. (2021). Lipidomics and transcriptomics analyses of altered lipid species and pathways in oxaliplatin-treated colorectal cancer cells. Journal of Pharmaceutical and Biomedical Analysis. 200. 114077–114077. 10 indexed citations
6.
Wang, Zhibin, Shilong Jiang, Shaobo Liu, et al.. (2021). Metabolomics of Artichoke Bud Extract in Spontaneously Hypertensive Rats. ACS Omega. 6(29). 18610–18622. 6 indexed citations
7.
Guo, Jiwei, Jing Yu, Feng Peng, et al.. (2021). In vitro and in vivo analysis of metabolites involved in the TCA cycle and glutamine metabolism associated with cisplatin resistance in human lung cancer. Expert Review of Proteomics. 18(3). 233–240. 9 indexed citations
8.
Rao, Tai, Zhi‐Rong Tan, Jingbo Peng, et al.. (2019). The pharmacogenetics of natural products: A pharmacokinetic and pharmacodynamic perspective. Pharmacological Research. 146. 104283–104283. 75 indexed citations
9.
Liu, Tong, Feng Peng, Jing Yu, et al.. (2019). LC-MS-based lipid profile in colorectal cancer patients: TAGs are the main disturbed lipid markers of colorectal cancer progression. Analytical and Bioanalytical Chemistry. 411(20). 5079–5088. 43 indexed citations
10.
Huang, Masha, Junyan Liu, Xiaobo Xia, et al.. (2019). Hsa_circ_0001946 Inhibits Lung Cancer Progression and Mediates Cisplatin Sensitivity in Non-small Cell Lung Cancer via the Nucleotide Excision Repair Signaling Pathway. Frontiers in Oncology. 9. 508–508. 78 indexed citations
11.
Peng, Feng, Yingzi Liu, Chenjie He, et al.. (2018). Prediction of platinum-based chemotherapy efficacy in lung cancer based on LC–MS metabolomics approach. Journal of Pharmaceutical and Biomedical Analysis. 154. 95–101. 18 indexed citations
12.
He, Chenjie, Yongbin Liu, Jie Tang, et al.. (2018). 1H NMR based pharmacometabolomics analysis of metabolic phenotype on predicting metabolism characteristics of losartan in healthy volunteers. Journal of Chromatography B. 1095. 15–23. 8 indexed citations
13.
Lian, Guanghui, Ying Xu, Qing Zhao, et al.. (2017). The potent mechanism-based inactivation of CYP2D6 and CYP3A4 with fusidic acid inin vivobioaccumulation. Xenobiotica. 48(10). 999–1005. 1 indexed citations
14.
Xiao, Jian, Dan Chen, Shifang Peng, et al.. (2016). Screening of Drug Metabolizing Enzymes for the Ginsenoside Compound K In Vitro: An Efficient Anti-Cancer Substance Originating from Panax Ginseng. PLoS ONE. 11(2). e0147183–e0147183. 27 indexed citations
15.
Ouyang, Dongsheng, Weihua Huang, Dan Chen, et al.. (2016). Kinetics of cytochrome P450 enzymes for metabolism of sodium tanshinone IIA sulfonate in vitro. Chinese Medicine. 11(1). 11–11. 11 indexed citations
16.
Zhao, Qing, Jian Xiao, Shu‐Fen Peng, et al.. (2016). Screening of drug metabolizing enzymes for fusidic acid and its interactions with isoform-selective substratesin vitro. Xenobiotica. 47(9). 778–784. 3 indexed citations
17.
Huang, Xi, Ying Guo, Weihua Huang, et al.. (2014). Searching the Cytochrome P450 Enzymes for the Metabolism of Meranzin Hydrate: A Prospective Antidepressant Originating from Chaihu-Shugan-San. PLoS ONE. 9(11). e113819–e113819. 14 indexed citations
18.
Li, Shuqi, Zhiheng Su, Hongwu Zhang, et al.. (2013). Comparative Pharmacokinetics of Naringin in Rat after Oral Administration of Chaihu-Shu-Gan-San Aqueous Extract and Naringin Alone. Metabolites. 3(4). 867–880. 27 indexed citations
19.
Peng, Jingbo, et al.. (2011). Qualitative and quantitative characterization of chemical constituents in Xin-Ke-Shu preparations by liquid chromatography coupled with a LTQ Orbitrap mass spectrometer. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 984–995. 60 indexed citations
20.

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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