Li‐Ping Bai

4.3k total citations
171 papers, 3.4k citations indexed

About

Li‐Ping Bai is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Li‐Ping Bai has authored 171 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 23 papers in Plant Science and 19 papers in Organic Chemistry. Recurrent topics in Li‐Ping Bai's work include Natural product bioactivities and synthesis (16 papers), Phytochemistry and Bioactive Compounds (13 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Li‐Ping Bai is often cited by papers focused on Natural product bioactivities and synthesis (16 papers), Phytochemistry and Bioactive Compounds (13 papers) and Advanced biosensing and bioanalysis techniques (10 papers). Li‐Ping Bai collaborates with scholars based in China, Macao and United States. Li‐Ping Bai's co-authors include Zhi‐Hong Jiang, Naiqi Wu, Guo‐Yuan Zhu, Tida Ge, Sui Fang-gong, Zhiwu Li, MengChu Zhou, Dik‐Lung Ma, Chung‐Hang Leung and Daniel Shiu‐Hin Chan and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Journal of Neuroscience.

In The Last Decade

Li‐Ping Bai

161 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li‐Ping Bai China 30 1.2k 554 343 341 293 171 3.4k
Xia Wang China 27 855 0.7× 352 0.6× 530 1.5× 527 1.5× 222 0.8× 157 3.6k
Zhifeng Zhang China 41 1.8k 1.5× 525 0.9× 314 0.9× 62 0.2× 755 2.6× 352 6.0k
Vikas Kumar India 34 1.1k 0.9× 450 0.8× 584 1.7× 108 0.3× 187 0.6× 239 3.8k
Snežana Agatonović-Kuštrin Australia 33 725 0.6× 400 0.7× 329 1.0× 514 1.5× 307 1.0× 130 4.1k
Yong‐Huan Yun China 38 1.5k 1.3× 664 1.2× 210 0.6× 675 2.0× 402 1.4× 110 5.1k
Riccardo Leardi Italy 37 1.3k 1.1× 433 0.8× 537 1.6× 844 2.5× 345 1.2× 126 7.1k
Munish Puri Australia 41 3.0k 2.5× 661 1.2× 190 0.6× 93 0.3× 205 0.7× 175 5.9k
Liping Zhang China 33 917 0.8× 553 1.0× 1.2k 3.5× 127 0.4× 974 3.3× 148 4.5k
Douglas N. Rutledge France 41 1.5k 1.3× 1.0k 1.9× 373 1.1× 105 0.3× 161 0.5× 228 6.7k
Yong Zhou China 36 2.4k 2.0× 356 0.6× 472 1.4× 131 0.4× 152 0.5× 111 4.4k

Countries citing papers authored by Li‐Ping Bai

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ping Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Ping Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Ping Bai. A scholar is included among the top collaborators of Li‐Ping Bai 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 Li‐Ping Bai. Li‐Ping Bai 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, Xiaomei, Wenjing Ren, Cheng‐Yu Chen, et al.. (2025). Verbenalinosides A and B, Two Iridoid–Phenylethanoid Glycoside Conjugates from Verbena officinalis and Their Hepatoprotective Activity. ACS Omega. 10(9). 9684–9690. 2 indexed citations
2.
Chen, Feilong, Dongli Liu, Wenjing Ren, et al.. (2024). Atrachinenins D–S, novel meroterpenoids with geranyl hydroquinone moiety from Atractylodes chinensis by the LC/MS-based molecular decoy and targeted isolation. Bioorganic Chemistry. 144. 107111–107111. 3 indexed citations
3.
4.
Liu, Jiazheng, Lu Fu, Tong Shu, et al.. (2023). Anti-Entry Activity of Natural Flavonoids against SARS-CoV-2 by Targeting Spike RBD. Viruses. 15(1). 160–160. 21 indexed citations
5.
Ren, Wenjing, Rong Jiang, Li‐Ping Bai, et al.. (2023). Di- and Triterpenoids from the Rhizomes of Isodon amethystoides and Their Anti-inflammatory Activities. Journal of Natural Products. 86(5). 1230–1239. 9 indexed citations
6.
Zhou, Mingyue, Ziwei Yang, Tianpeng Yin, et al.. (2023). Functionalized Fe-Doped Carbon Dots Exhibiting Dual Glutathione Consumption to Amplify Ferroptosis for Enhanced Cancer Therapy. ACS Applied Materials & Interfaces. 15(46). 53228–53241. 9 indexed citations
7.
Zhang, Huixia, Jianfeng Sun, Yu Pan, et al.. (2023). Selective Chemical Labeling Strategy for Oligonucleotides Determination: A First Application to Full-Range Profiling of Transfer RNA Modifications. Analytical Chemistry. 95(2). 686–694. 3 indexed citations
8.
Li, Huiying, et al.. (2023). Chemical Constituents from the Fruits of Amomum kravanh and Their Role in Activating Alcohol Dehydrogenase. Molecules. 28(12). 4878–4878. 5 indexed citations
9.
Chen, Feilong, Dongli Liu, Jing Fu, et al.. (2022). Atrachinenynes A–D, four diacetylenic derivatives with unprecedented skeletons from the rhizomes of Atractylodes chinensis. New Journal of Chemistry. 46(32). 15530–15537. 6 indexed citations
10.
Chen, Feilong, et al.. (2022). New Monoterpene-Conjugated Phenolic Constituents from Nutmeg and Their Autophagy Modulating Activities. Journal of Agricultural and Food Chemistry. 70(31). 9684–9693. 7 indexed citations
11.
Liu, Xin, Jing Fu, Ji Yang, et al.. (2021). Linderaggrenolides A–N, Oxygen-Conjugated Sesquiterpenoid Dimers from the Roots of Lindera aggregata. ACS Omega. 6(8). 5898–5909. 15 indexed citations
12.
Qiao, Yan, et al.. (2021). Wafer Reflectance Prediction for Complex Etching Process Based on K-Means Clustering and Neural Network. IEEE Transactions on Semiconductor Manufacturing. 34(2). 207–216. 10 indexed citations
13.
Yang, Ji, Xin Liu, Jing Fu, et al.. (2021). Calycindaphines A–J, Daphniphyllum alkaloids from the roots of Daphniphyllum calycinum. RSC Advances. 11(16). 9057–9066. 6 indexed citations
14.
Wang, Ye, Zhong Zheng, Mengdan Wang, et al.. (2020). Cascade C–N bond cleavage of amides/intramolecular amination reactions: an atom economical way to α-cabolin-4-ones. Organic Chemistry Frontiers. 8(3). 579–583. 5 indexed citations
15.
Liu, Xin, Ji Yang, Xiaojun Yao, et al.. (2019). Linderalides A–D, Disesquiterpenoid–Geranylbenzofuranone Conjugates from Lindera aggregata. The Journal of Organic Chemistry. 84(12). 8242–8247. 22 indexed citations
16.
Zhu, Guo‐Yuan, Ji Yang, Xiaojun Yao, et al.. (2018). (±)-Sativamides A and B, Two Pairs of Racemic Nor-Lignanamide Enantiomers from the Fruits of Cannabis sativa. The Journal of Organic Chemistry. 83(4). 2376–2381. 21 indexed citations
17.
Zhou, Xiaobo, Ming Chen, Zhiyuan Zheng, et al.. (2017). Synthesis and evaluation of novel 12-aryl berberine analogues with hypoxia-inducible factor-1 inhibitory activity. RSC Advances. 7(43). 26921–26929. 16 indexed citations
18.
Bai, Li‐Ping. (2006). New real-time enhancement algorithm for infrared images. Guangdian gongcheng.
19.
Bai, Li‐Ping, Hong Jiang, Ting‐Guo Kang, et al.. (2004). Pharmacognostical evaluation of arctii fructus (5, chemical constituents from fruits of Amorpha fruticosa. Natural medicines = 生薬學雜誌. 58(6). 275–277. 3 indexed citations
20.
Bai, Li‐Ping. (2001). Translation of the“Summer”Image in Shakespeare's Sonnets.

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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