Zhi‐Ming Bi

581 total citations
23 papers, 481 citations indexed

About

Zhi‐Ming Bi is a scholar working on Molecular Biology, Plant Science and Complementary and alternative medicine. According to data from OpenAlex, Zhi‐Ming Bi has authored 23 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Complementary and alternative medicine. Recurrent topics in Zhi‐Ming Bi's work include Natural product bioactivities and synthesis (11 papers), Phytochemistry and Biological Activities (8 papers) and Traditional Chinese Medicine Analysis (5 papers). Zhi‐Ming Bi is often cited by papers focused on Natural product bioactivities and synthesis (11 papers), Phytochemistry and Biological Activities (8 papers) and Traditional Chinese Medicine Analysis (5 papers). Zhi‐Ming Bi collaborates with scholars based in China and Thailand. Zhi‐Ming Bi's co-authors include E‐Hu Liu, Ping Li, Lian‐Wen Qi, Li Duan, Ling Yi, Qingtao Yu, Jing Zhao, Zheng‐Meng Jiang, Zhengtao Wang and Luoshan Xu and has published in prestigious journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis and Journal of Chromatography B.

In The Last Decade

Zhi‐Ming Bi

23 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi‐Ming Bi China 11 291 187 147 95 93 23 481
Ailian Zhang China 13 263 0.9× 200 1.1× 94 0.6× 103 1.1× 181 1.9× 26 569
Jia Guan Macao 10 215 0.7× 240 1.3× 148 1.0× 48 0.5× 234 2.5× 13 528
Zhong‐Zhi Qian China 11 327 1.1× 162 0.9× 176 1.2× 102 1.1× 59 0.6× 20 534
Alberto Sánchez-Medina Mexico 14 241 0.8× 211 1.1× 84 0.6× 24 0.3× 147 1.6× 34 547
Koichi Metori Japan 12 226 0.8× 122 0.7× 75 0.5× 24 0.3× 99 1.1× 31 482
Ti-Qiang Chen China 9 121 0.4× 169 0.9× 55 0.4× 60 0.6× 159 1.7× 17 390
Zhichen Cai China 13 230 0.8× 187 1.0× 69 0.5× 42 0.4× 28 0.3× 33 418
Lirui Qiao China 12 333 1.1× 92 0.5× 100 0.7× 27 0.3× 83 0.9× 20 528
Ikhlas Ahmad Khan United States 12 286 1.0× 121 0.6× 50 0.3× 28 0.3× 67 0.7× 22 457
Young Choong Kim South Korea 12 246 0.8× 164 0.9× 58 0.4× 49 0.5× 40 0.4× 19 408

Countries citing papers authored by Zhi‐Ming Bi

Since Specialization
Citations

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

Fields of papers citing papers by Zhi‐Ming Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhi‐Ming Bi. 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 Zhi‐Ming Bi. The network helps show where Zhi‐Ming Bi may publish in the future.

Co-authorship network of co-authors of Zhi‐Ming Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Ming Bi. A scholar is included among the top collaborators of Zhi‐Ming Bi 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 Zhi‐Ming Bi. Zhi‐Ming Bi 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.
Wang, Ziyuan, et al.. (2020). Integration of Zebrafish Model and Network Pharmacology to Explore Possible Action Mechanisms of Morinda officinalis for Treating Osteoporosis. Chemistry & Biodiversity. 17(5). e2000056–e2000056. 10 indexed citations
2.
Jiang, Zheng‐Meng, Wenjin Liu, Huiying Wang, et al.. (2019). Development and validation of a supercritical fluid chromatography method for fast analysis of six flavonoids in Citri Reticulatae Pericarpium. Journal of Chromatography B. 1133. 121845–121845. 25 indexed citations
3.
Jiang, Zheng‐Meng, et al.. (2019). Identification of anti-inflammatory components in Sinomenii Caulis based on spectrum-effect relationship and chemometric methods. Journal of Pharmaceutical and Biomedical Analysis. 167. 38–48. 61 indexed citations
4.
Zhuang, B. A., Zhi‐Ming Bi, Ziyuan Wang, et al.. (2018). Chemical profiling and quantitation of bioactive compounds in Platycladi Cacumen by UPLC-Q-TOF-MS/MS and UPLC-DAD. Journal of Pharmaceutical and Biomedical Analysis. 154. 207–215. 68 indexed citations
5.
Li, Pei, Su-Ling Zeng, Li Duan, et al.. (2016). Comparison of Aurantii Fructus Immaturus and Aurantii Fructus based on multiple chromatographic analysis and chemometrics methods. Journal of Chromatography A. 1469. 96–107. 64 indexed citations
6.
Guo, Long, Li−Li Dou, Li Duan, et al.. (2015). Comprehensive analysis of chemical constituents in Xingxiong injection by high performance liquid chromatography coupled with mass spectrometry. Chinese Journal of Natural Medicines. 13(9). 711–720. 8 indexed citations
7.
Li, Hui‐Jun, et al.. (2010). Study on chemical constituents of Lonicera dasystyla Rehd.. Linchan huaxue yu gongye. 30(1). 73–76. 2 indexed citations
8.
Bi, Zhi‐Ming, et al.. (2009). Chemical Constituents of the Fruits of Gardenia jasminoides form.grandiflora (Lour.) Makino.. Linchan huaxue yu gongye. 29(6). 61–64. 1 indexed citations
9.
10.
Wu, Qian, Xiaodong Wen, Lian‐Wen Qi, et al.. (2009). An in vivo microdialysis measurement of harpagoside in rat blood and bile for predicting hepatobiliary excretion and its interaction with cyclosporin A and verapamil. Journal of Chromatography B. 877(8-9). 751–756. 8 indexed citations
11.
Bi, Zhi‐Ming, et al.. (2008). LC–DAD–MS Determination of the Major Constituents in Radix Angelicae sinensis. Chromatographia. 67(11-12). 973–978. 6 indexed citations
12.
Bi, Zhi‐Ming, et al.. (2007). Simultaneous Determination of Four Kinds of Bioactive Components in Radix Scrophulariae by HPLC. Zhōnghuá yàoxué zázhì. 1614–1616. 3 indexed citations
13.
14.
Yu, Qingtao, Lian‐Wen Qi, Ping Li, et al.. (2007). Determination of seventeen main flavonoids and saponins in the medicinal plant Huang‐qi (Radix Astragali) by HPLC‐DAD‐ELSD. Journal of Separation Science. 30(9). 1292–1299. 90 indexed citations
15.
Bi, Zhi‐Ming, Zhengtao Wang, & Luoshan Xu. (2005). Two New Triterpenes from the Orchid Pholidota yunnanensis Rolfe. Journal of Integrative Plant Biology. 47(1). 116–119. 5 indexed citations
16.
Bi, Zhi‐Ming, Zhengtao Wang, & Luoshan Xu. (2004). Chemical constituents of Dendrobium moniliforme. Zhiwu xuebao. 46(1). 124–126. 24 indexed citations
17.
Li, Ping, et al.. (2004). Simultaneous determination of the major isosteroidal alkaloids and their glucosides in the bulbs of Fritillaria by high performance liquid chromatography coupled with evaporative light scattering detection.. PubMed. 39(1). 56–9. 4 indexed citations
18.
Wang, Mingquan, et al.. (2003). [Determination of epimedin C and icariin in Herba Epimedii by HPLC].. PubMed. 28(11). 1025–7. 5 indexed citations
19.
Xie, Junbo, Zhi‐Ming Bi, & Ping Li. (2003). HPLC-ELSD determination of triterpenoids and triterpenoid saponins in Ilex pupurea leaves.. PubMed. 38(7). 534–6. 5 indexed citations
20.
Bi, Zhi‐Ming, Zhengtao Wang, Luoshan Xu, & Guo‐Jun Xu. (2003). [Studies on the chemical constituents of Dendrobium fimbriatum].. PubMed. 38(7). 526–9. 17 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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