Pan Wang

4.0k total citations · 1 hit paper
203 papers, 2.9k citations indexed

About

Pan Wang is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Pan Wang has authored 203 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 31 papers in Physiology and 27 papers in Plant Science. Recurrent topics in Pan Wang's work include Alzheimer's disease research and treatments (11 papers), Ferroptosis and cancer prognosis (9 papers) and Natural product bioactivities and synthesis (9 papers). Pan Wang is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Ferroptosis and cancer prognosis (9 papers) and Natural product bioactivities and synthesis (9 papers). Pan Wang collaborates with scholars based in China, United States and Australia. Pan Wang's co-authors include Bao Ting Zhu, Zhenqiang Zhang, Zhishen Xie, Noriko Yamabe, Ki Sung Kang, Taylor R. Jay, Masayuki Fukui, Jiangyan Xu, Michael A. McNutt and Xiajuan Zou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Pan Wang

182 papers receiving 2.9k citations

Hit Papers

Semaglutide ameliorates cardiac remodeling in male mice b... 2024 2026 2025 2024 10 20 30 40

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Wang China 28 1.4k 357 296 274 260 203 2.9k
Ki‐Tae Ha South Korea 34 1.8k 1.3× 552 1.5× 295 1.0× 336 1.2× 265 1.0× 169 4.0k
Kunka Mohanram Ramkumar India 37 1.5k 1.1× 312 0.9× 256 0.9× 324 1.2× 144 0.6× 137 3.7k
Chiara Dianzani Italy 42 2.0k 1.4× 344 1.0× 175 0.6× 369 1.3× 220 0.8× 124 4.8k
Shih‐Min Hsia Taiwan 34 1.3k 0.9× 368 1.0× 282 1.0× 211 0.8× 158 0.6× 143 3.5k
Magdalena L. Circu United States 19 2.1k 1.5× 317 0.9× 338 1.1× 413 1.5× 210 0.8× 24 4.4k
Kyung‐A Hwang South Korea 39 1.5k 1.1× 404 1.1× 370 1.3× 194 0.7× 125 0.5× 130 3.8k
Ana Čipak Gašparović Croatia 31 1.8k 1.3× 409 1.1× 299 1.0× 571 2.1× 279 1.1× 89 4.6k
Min Ho Han South Korea 36 1.7k 1.2× 354 1.0× 273 0.9× 225 0.8× 166 0.6× 109 3.5k
Brian S. Cummings United States 33 1.9k 1.3× 426 1.2× 271 0.9× 241 0.9× 195 0.8× 111 4.1k
Huachen Wei United States 33 1.2k 0.9× 376 1.1× 306 1.0× 312 1.1× 166 0.6× 79 3.6k

Countries citing papers authored by Pan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Wang. A scholar is included among the top collaborators of Pan Wang 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 Pan Wang. Pan Wang 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
3.
Kong, Chun‐Yan, Zhen Guo, Pan Wang, et al.. (2025). Adamts1 Exacerbates Post‐Myocardial Infarction Scar Formation via Mechanosensing of Integrin α8. Advanced Science. 12(46). e04138–e04138.
4.
Wang, Pan, Xu Han, Kehan Ren, et al.. (2025). PPIL2 is a target of the JAK2/STAT5 pathway and promotes myeloproliferation via degradation of p53. Journal of Clinical Investigation. 135(13).
5.
Wang, Pan, et al.. (2024). An Integrated System of Bulk Tea Harvesting Robot With Profiling Logic. IEEE Access. 12. 137568–137584.
6.
Wang, Yanbo, et al.. (2024). A new Bowman-Birk type protease inhibitor regulated by MeJA pathway in maize exhibits anti-feedant activity against the Ostrinia furnacalis. Plant Molecular Biology. 114(5). 110–110. 1 indexed citations
7.
Li, Xiaotian, et al.. (2024). Huge intermediate-grade myofibroblastic sarcoma in the retroperitoneum revealed by 18F-FDG PET/CT: a case report. Frontiers in Medicine. 11. 1461749–1461749.
8.
Li, Sheng, Zhongqi Li, Lin Yang, et al.. (2024). USP3 promotes DNA damage response and chemotherapy resistance through stabilizing and deubiquitinating SMARCA5 in prostate cancer. Cell Death and Disease. 15(11). 790–790. 4 indexed citations
9.
Ren, Kehan, Ermin Li, Yijie Liu, et al.. (2024). Development of iPSC-derived human bone marrow organoid for autonomous hematopoiesis and patient-derived HSPC engraftment. Blood Advances. 9(1). 54–65. 9 indexed citations
11.
Zhang, Sumei, Pan Wang, Shu Wang, et al.. (2023). Tryptophan metabolism enzymes are potential targets in ovarian clear cell carcinoma. Cancer Medicine. 12(24). 21996–22005. 5 indexed citations
12.
Li, Weina, et al.. (2023). Engineered β-glycosidase from Hyperthermophilic Sulfolobus solfataricus with Improved Rd-hydrolyzing Activity for Ginsenoside Compound K Production. Applied Biochemistry and Biotechnology. 196(7). 3800–3816. 1 indexed citations
13.
Li, Hailian, et al.. (2023). Effects of preventive nursing based on quantitative evaluation on psychological state and maternal–infant outcome in patients with gestational diabetes mellitus. The Journal of Maternal-Fetal & Neonatal Medicine. 36(1). 2183473–2183473.
14.
Hu, Kai, Cheng Yang, Lixin Li, et al.. (2023). Simultaneous extraction of hydroxylated polycyclic aromatic hydrocarbons and catecholamines with magnetic boronic acid hypercrosslinked polymers. Journal of Chromatography A. 1712. 464491–464491. 8 indexed citations
15.
Liu, Xiaobing, Pan Wang, Kai Hu, et al.. (2023). Dispersive solid‐phase extraction of alkaloids and polyphenols using borate hypercrosslinked polymers. Journal of Separation Science. 46(14). e2300131–e2300131. 3 indexed citations
16.
Wang, Pan, et al.. (2022). Mechanism of Erastin-Induced Ferroptosis in MDA-MB-231 Human Breast Cancer Cells: Evidence for a Critical Role of Protein Disulfide Isomerase. Molecular and Cellular Biology. 42(6). e0052221–e0052221. 34 indexed citations
17.
Wang, Pan, et al.. (2022). (±)-Cryptamides A–D, Four Pairs of Novel Dopamine Enantiomer Trimers from the Periostracum Cicadae. Molecules. 27(19). 6707–6707. 4 indexed citations
18.
Hu, Kai, Yuanpeng Wang, Lixin Li, et al.. (2022). Dispersive solid-phase extraction of non-steroidal anti-inflammatory drugs in water and urine samples using a magnetic ionic liquid hypercrosslinked polymer composite. Journal of Chromatography A. 1689. 463745–463745. 29 indexed citations
19.
Zhao, Yuanqing, Kai Hu, Cheng Yang, et al.. (2022). Covalent organic framework@Ti3C2T composite as solid phase microextraction coating for the determination of polycyclic aromatic hydrocarbons in honey samples. Analytica Chimica Acta. 1237. 340581–340581. 51 indexed citations
20.
Li, Jing, Kun Zuo, Jing Zhang, et al.. (2020). Shifts in gut microbiome and metabolome are associated with risk of recurrent atrial fibrillation. Journal of Cellular and Molecular Medicine. 24(22). 13356–13369. 33 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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