Panpan Wu

3.5k total citations
142 papers, 2.9k citations indexed

About

Panpan Wu is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Panpan Wu has authored 142 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 25 papers in Plant Science and 23 papers in Organic Chemistry. Recurrent topics in Panpan Wu's work include Natural product bioactivities and synthesis (22 papers), Pharmacological Effects of Natural Compounds (10 papers) and Natural Antidiabetic Agents Studies (9 papers). Panpan Wu is often cited by papers focused on Natural product bioactivities and synthesis (22 papers), Pharmacological Effects of Natural Compounds (10 papers) and Natural Antidiabetic Agents Studies (9 papers). Panpan Wu collaborates with scholars based in China, United States and United Kingdom. Panpan Wu's co-authors include Zhuang Chen, Yuxian Lai, Yimei Zhang, Dongli Li, Shuai Li, Fei Wang, Yaxiao Duan, Lincheng Zhou, Qinglu Fang and Ping Ou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Panpan Wu

138 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panpan Wu China 30 658 610 547 534 519 142 2.9k
Komal Rızwan Pakistan 32 488 0.7× 477 0.8× 696 1.3× 954 1.8× 285 0.5× 100 3.2k
Peng Yu China 36 859 1.3× 1.4k 2.3× 1.2k 2.2× 633 1.2× 653 1.3× 185 4.3k
Duduku Krishnaiah Malaysia 22 546 0.8× 336 0.6× 263 0.5× 568 1.1× 632 1.2× 81 3.4k
Shagufta Kamal Pakistan 31 840 1.3× 429 0.7× 494 0.9× 1.5k 2.9× 269 0.5× 103 3.4k
Honglun Wang China 37 409 0.6× 1.3k 2.2× 284 0.5× 766 1.4× 365 0.7× 181 4.4k
Thayumanavan Palvannan India 35 200 0.3× 612 1.0× 426 0.8× 843 1.6× 658 1.3× 130 4.0k
Baskaran Stephen Inbaraj Taiwan 43 270 0.4× 1.3k 2.2× 485 0.9× 681 1.3× 755 1.5× 131 5.3k
Arpita Roy India 31 244 0.4× 638 1.0× 368 0.7× 1.3k 2.4× 192 0.4× 119 3.5k
Saksit Chanthai Thailand 28 354 0.5× 324 0.5× 265 0.5× 780 1.5× 447 0.9× 128 2.7k
Vipin Saini India 24 482 0.7× 431 0.7× 663 1.2× 526 1.0× 69 0.1× 102 2.8k

Countries citing papers authored by Panpan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Panpan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Panpan Wu. A scholar is included among the top collaborators of Panpan Wu 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 Panpan Wu. Panpan Wu 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.
Yang, Xing, et al.. (2025). A Fatigue Performance Analysis Framework for Evaluating Fatigue Behavior in Metallic Materials: From Notch Fatigue to Crack Propagation. Fatigue & Fracture of Engineering Materials & Structures. 48(10). 4180–4201. 1 indexed citations
2.
Wu, Panpan, Yueying Chu, Maolin Wang, et al.. (2025). Subnanometric MoOx clusters limit overoxidation during photocatalytic CH4 conversion to oxygenates over TiO2. Nature Communications. 16(1). 4207–4207. 6 indexed citations
3.
Yang, Xing, et al.. (2024). A Multi-Scale Model for Predicting Physically Short Crack and Long Crack Behavior in Metals. Materials. 17(21). 5163–5163.
4.
5.
Wu, Panpan, et al.. (2024). ERoots: A three-dimensional dynamic growth model of rice roots coupled with soil. Biosystems Engineering. 244. 122–133. 2 indexed citations
6.
Zhang, Chunguo, et al.. (2024). Stress ratio influence on Paris parameter and fatigue driving force pertinent to material properties. International Journal of Fatigue. 185. 108368–108368. 8 indexed citations
7.
Wu, Xiaoxian, Ying Sun, Zhen Zhang, et al.. (2023). On-demand detachable adhesive hydrogel based on dual dynamic covalent cross-linked with NIR/pH dual-responsive properties for diabetic wound healing. Chemical Engineering Journal. 479. 147646–147646. 54 indexed citations
8.
Liu, Chunlong, Shijie Zhu, Jian Zhang, et al.. (2023). Global, regional, and national burden of liver cancer due to non-alcoholic steatohepatitis, 1990–2019: a decomposition and age–period–cohort analysis. Journal of Gastroenterology. 58(12). 1222–1236. 25 indexed citations
9.
Xu, Xin, et al.. (2023). 豫西济源中三叠统二马营组中、下段遗迹组构与沉积环境. Earth Science-Journal of China University of Geosciences. 48(11). 4279–4279. 1 indexed citations
10.
Li, Dongli, Yuanyuan Li, Li‐She Gan, et al.. (2022). Polysaccharides from Callerya speciosa alleviate metabolic disorders and gut microbiota dysbiosis in diet-induced obese C57BL/6 mice. Food & Function. 13(16). 8662–8675. 14 indexed citations
11.
Ren, Xiangshan, Xiao Wang, Xue-Tao Xu, et al.. (2021). Nobiletin Inhibits Cell Growth, Migration and Invasion, and Enhances the Anti-Cancer Effect of Gemcitabine on Pancreatic Cancer Cells. Natural Product Communications. 16(4). 2 indexed citations
12.
Ren, Xiangshan, Xue-Tao Xu, Panpan Wu, et al.. (2020). Nobiletin, a citrus polymethoxyflavone, enhances the effects of bicalutamide on prostate cancer cellsviadown regulation of NF-κB, STAT3, and ERK activation. RSC Advances. 10(17). 10254–10262. 19 indexed citations
13.
Sheng, Zhaojun, Fangying Xie, Bin Chen, et al.. (2020). Screening of larvicidal activity of 53 essential oils and their synergistic effect for the improvement of deltamethrin efficacy against Aedes albopictus. Industrial Crops and Products. 145. 112131–112131. 32 indexed citations
14.
Jin, Jingwei, Panpan Wu, Dongli Li, et al.. (2020). Understanding the interaction of estrogenic ligands with estrogen receptors: a survey of the functional and binding kinetic studies. PubMed. 38(2). 142–168. 6 indexed citations
15.
Jiang, Sen, Dongli Li, Jie Chen, et al.. (2020). Synergistic Anticancer Effect of Gemcitabine Combined With Impressic Acid or Acankoreanogein in Panc-1 Cells by Inhibiting NF-κB and Stat 3 Activation. Natural Product Communications. 15(12). 4 indexed citations
16.
Xu, Xue-Tao, Jie Chen, Kun Zhang, et al.. (2019). Synthesis and biological evaluation of coumarin derivatives as α-glucosidase inhibitors. European Journal of Medicinal Chemistry. 189. 112013–112013. 107 indexed citations
17.
Chen, Min, Hang Ma, Xi Zheng, et al.. (2019). Downregulating NF-κB signaling pathway with triterpenoids for attenuating inflammation:in vitroandin vivostudies. Food & Function. 10(8). 5080–5090. 27 indexed citations
18.
19.
Sheng, Zhaojun, Si-Yuan Ge, Ximing Xu, et al.. (2018). Design, synthesis and evaluation of cinnamic acid ester derivatives as mushroom tyrosinase inhibitors. MedChemComm. 9(5). 853–861. 50 indexed citations
20.
Wu, Panpan, Xiping Cui, Yang Yang, et al.. (2017). Synthesis and biological evaluation of novel ursolic acid analogues as potential α-glucosidase inhibitors. Scientific Reports. 7(1). 45578–45578. 48 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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