Ping Wen

2.8k total citations
58 papers, 2.4k citations indexed

About

Ping Wen is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Ping Wen has authored 58 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Surgery and 14 papers in Nephrology. Recurrent topics in Ping Wen's work include Pancreatitis Pathology and Treatment (6 papers), MicroRNA in disease regulation (5 papers) and Mitochondrial Function and Pathology (4 papers). Ping Wen is often cited by papers focused on Pancreatitis Pathology and Treatment (6 papers), MicroRNA in disease regulation (5 papers) and Mitochondrial Function and Pathology (4 papers). Ping Wen collaborates with scholars based in China, United States and Australia. Ping Wen's co-authors include Junwei Yang, Lei Jiang, Weichun He, Li Fang, Chunsun Dai, Yang Zhou, Hongdi Cao, Mingxia Xiong, William J. Rutter and Joseph Locker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ping Wen

58 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Wen China 26 1.1k 644 451 434 388 58 2.4k
Mi Heon Ryu South Korea 26 1.1k 1.0× 770 1.2× 207 0.5× 279 0.6× 287 0.7× 70 2.8k
Nozomu Tanji Japan 27 1.4k 1.2× 771 1.2× 291 0.6× 502 1.2× 390 1.0× 74 4.5k
Rafael Ramı́rez Spain 36 919 0.8× 1.2k 1.8× 246 0.5× 477 1.1× 357 0.9× 95 3.6k
Kojiro Nagai Japan 28 940 0.8× 808 1.3× 133 0.3× 397 0.9× 226 0.6× 123 2.8k
Jianfeng Wu China 28 2.1k 1.8× 277 0.4× 352 0.8× 319 0.7× 665 1.7× 84 3.5k
Tárcio Teodoro Braga Brazil 25 914 0.8× 504 0.8× 166 0.4× 325 0.7× 301 0.8× 48 2.2k
Takanori Komada Japan 22 1.2k 1.0× 445 0.7× 371 0.8× 314 0.7× 180 0.5× 42 2.0k
Hejian Zou China 31 869 0.8× 627 1.0× 149 0.3× 299 0.7× 432 1.1× 126 2.7k
Ádám Vannay Hungary 23 617 0.5× 242 0.4× 171 0.4× 358 0.8× 288 0.7× 76 2.0k
Gwendoline J.D. Teske Netherlands 25 1.2k 1.0× 766 1.2× 110 0.2× 435 1.0× 312 0.8× 38 2.8k

Countries citing papers authored by Ping Wen

Since Specialization
Citations

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

Fields of papers citing papers by Ping Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Wen. A scholar is included among the top collaborators of Ping Wen 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 Ping Wen. Ping Wen 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.
Zhang, Feng, Tianfan Cheng, Dan Zhao, et al.. (2025). Unveiling early-life microbial colonization profile through characterizing low-biomass maternal-infant microbiomes by 2bRAD-M. Frontiers in Microbiology. 16. 1521108–1521108. 1 indexed citations
2.
Yang, Shu‐Qing, Xingyue Wang, Yu Zhang, et al.. (2025). SIRT3 regulates CPT1a acetylation and fatty acid oxidation in renal tubular epithelial cells under diabetic condition. Molecular Biology Reports. 52(1). 603–603. 1 indexed citations
3.
Liu, Libo, Hui Zheng, Lulu Wang, et al.. (2025). Ischemic preconditioning attenuates ischemia/reperfusion‐induced acute kidney injury dependent on mitochondrial protease CLPP. IUBMB Life. 77(4). e70015–e70015. 1 indexed citations
4.
Sun, Qi, Hongdi Cao, Yang Zhou, et al.. (2023). Loss of UCP2 causes mitochondrial fragmentation by OMA1 ‐dependent proteolytic processing of OPA1 in podocytes. The FASEB Journal. 37(11). e23265–e23265. 2 indexed citations
5.
Zhang, Yan, Xinxin Xu, Ping Wen, et al.. (2023). Pyruvate kinase M2 regulates mitochondrial homeostasis in cisplatin-induced acute kidney injury. Cell Death and Disease. 14(10). 663–663. 27 indexed citations
6.
7.
Tang, Lin, Jianbo Wen, Ping Wen, et al.. (2019). Long non-coding RNA LINC01314 represses cell migration, invasion, and angiogenesis in gastric cancer via the Wnt/β-catenin signaling pathway by down-regulating KLK4. Cancer Cell International. 19(1). 94–94. 32 indexed citations
8.
9.
Wang, Guiliang, Hai Liu, Ping Wen, et al.. (2017). Effect of Laparoscopic Peritoneal Lavage and Drainage and Continuous Venovenous Diahemofiltration on Severe Acute Pancreatitis. Journal of Laparoendoscopic & Advanced Surgical Techniques. 27(11). 1145–1150. 10 indexed citations
10.
Li, Xiurong, Qi Sun, Yang Zhou, et al.. (2015). Inhibition of Uncoupling Protein 2 Attenuates Cardiac Hypertrophy Induced by Transverse Aortic Constriction in Mice. Cellular Physiology and Biochemistry. 36(5). 1688–1698. 16 indexed citations
11.
Jiang, Lei, Yang Zhou, Hongdi Cao, et al.. (2014). Ets-1 Targeted by MicroRNA-221 Regulates Angiotensin II-Induced Renal Fibroblast Activation and Fibrosis. Cellular Physiology and Biochemistry. 34(4). 1063–1074. 25 indexed citations
12.
Wang, Guiliang, et al.. (2013). The Effect of Somatostatin, Ulinastatin and Salvia miltiorrhiza on Severe Acute Pancreatitis Treatment. The American Journal of the Medical Sciences. 346(5). 371–376. 31 indexed citations
13.
Wang, Guiliang, Jianbo Wen, Shu‐Feng Zhou, et al.. (2013). Effect of enteral nutrition and ecoimmunonutrition on bacterial translocation and cytokine production in patients with severe acute pancreatitis. Journal of Surgical Research. 183(2). 592–597. 73 indexed citations
14.
Jiang, Lei, Wenjing Qiu, Yang Zhou, et al.. (2013). A microRNA-30e/mitochondrial uncoupling protein 2 axis mediates TGF-β1-induced tubular epithelial cell extracellular matrix production and kidney fibrosis. Kidney International. 84(2). 285–296. 80 indexed citations
15.
Zhou, Yang, Mingxia Xiong, Li Fang, et al.. (2013). miR-21–Containing Microvesicles from Injured Tubular Epithelial Cells Promote Tubular Phenotype Transition by Targeting PTEN Protein. American Journal Of Pathology. 183(4). 1183–1196. 61 indexed citations
16.
Jiang, Lei, Yang Zhou, Mingxia Xiong, et al.. (2013). Sp1 mediates microRNA-29c-regulated type I collagen production in renal tubular epithelial cells. Experimental Cell Research. 319(14). 2254–2265. 34 indexed citations
17.
Zhou, Yang, Li Fang, Lei Jiang, et al.. (2012). Uric Acid Induces Renal Inflammation via Activating Tubular NF-κB Signaling Pathway. PLoS ONE. 7(6). e39738–e39738. 168 indexed citations
18.
Crawford, Nancy A., et al.. (1998). A Novel nk-2-related Transcription Factor Associated with Human Fetal Liver and Hepatocellular Carcinoma. Journal of Biological Chemistry. 273(5). 2917–2925. 48 indexed citations
19.
Wen, Ping, et al.. (1995). Enhancer Sharing in a Plasmid Model Containing the α-Fetoprotein and Albumin Promoters. DNA and Cell Biology. 14(3). 267–272. 10 indexed citations
20.
Wen, Ping, et al.. (1991). Enhancer, Repressor, and Promoter Specificities Combine to Regulate the Rat α-Fetoprotein Gene. DNA and Cell Biology. 10(7). 525–536. 40 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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