Hui Peng

4.1k total citations
90 papers, 3.3k citations indexed

About

Hui Peng is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Hui Peng has authored 90 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 22 papers in Oncology and 17 papers in Physiology. Recurrent topics in Hui Peng's work include HIV Research and Treatment (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Drug Transport and Resistance Mechanisms (10 papers). Hui Peng is often cited by papers focused on HIV Research and Treatment (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Drug Transport and Resistance Mechanisms (10 papers). Hui Peng collaborates with scholars based in China, United States and Japan. Hui Peng's co-authors include Jialin Zheng, Yunlong Huang, Nicholas P. Whitney, Tess M. Eidem, Jialin Zheng, Masahiro Sakanaka, Seiji Matsuda, David Erichsen, Yumei Wu and Ye Xiao and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hui Peng

85 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Peng China 34 1.4k 584 567 518 387 90 3.3k
Andrzej Głąbiński Poland 26 615 0.4× 862 1.5× 894 1.6× 1.3k 2.4× 178 0.5× 96 2.8k
Susanne M. A. van der Pol Netherlands 37 1.3k 0.9× 465 0.8× 1.3k 2.3× 861 1.7× 176 0.5× 66 3.9k
Ji Hae Seo South Korea 29 1.4k 1.0× 406 0.7× 805 1.4× 292 0.6× 330 0.9× 87 2.7k
Winnie S. Liang United States 30 2.3k 1.6× 363 0.6× 573 1.0× 257 0.5× 134 0.3× 82 4.0k
Benedikt Volk Germany 30 1.1k 0.8× 422 0.7× 666 1.2× 443 0.9× 665 1.7× 68 4.4k
Hai-dong Guo China 25 1.3k 1.0× 230 0.4× 367 0.6× 293 0.6× 97 0.3× 61 2.6k
Eugene D. Ponomarev Hong Kong 31 1.6k 1.1× 340 0.6× 1.4k 2.5× 1.6k 3.1× 255 0.7× 53 4.8k
Yoh Matsumoto Japan 33 1.2k 0.9× 459 0.8× 1.5k 2.6× 1.8k 3.4× 302 0.8× 121 4.6k
Olimpia Meucci United States 34 1.6k 1.1× 1.3k 2.2× 1.1k 2.0× 1.1k 2.2× 252 0.7× 114 4.3k
Elin Lehrmann United States 35 1.8k 1.3× 188 0.3× 521 0.9× 312 0.6× 204 0.5× 78 3.4k

Countries citing papers authored by Hui Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hui Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Peng. A scholar is included among the top collaborators of Hui Peng 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 Hui Peng. Hui Peng 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.
2.
Yang, Wei, Dan Zhou, Hui Peng, Huilin Jiang, & Weifeng Chen. (2025). The association between body temperature and 28-day mortality in sepsis patients: A retrospective observational study. Medicina Intensiva. 49(4). 205–215.
3.
Hu, Biao, et al.. (2024). PCLAF induces bone marrow adipocyte senescence and contributes to skeletal aging. Bone Research. 12(1). 38–38. 9 indexed citations
4.
Fu, Bo, et al.. (2023). d-Glucosamine induces circadian phase delay by promoting BMAL1 degradation through AMPK/mTOR pathway. Life Sciences. 325. 121765–121765. 4 indexed citations
5.
Xu, Feng, Ruoyu Zhou, Rui Zhou, et al.. (2023). Senescent immune cells accumulation promotes brown adipose tissue dysfunction during aging. Nature Communications. 14(1). 3208–3208. 48 indexed citations
6.
Zhu, Yanlin, et al.. (2023). Knocking down GALNT6 promotes pyroptosis of pancreatic ductal adenocarcinoma cells through NF-κB/NLRP3/GSDMD and GSDME signaling pathway. Frontiers in Oncology. 13. 1097772–1097772. 10 indexed citations
7.
Liang, Yingjian, Dandan Zhang, Tongsen Zheng, et al.. (2020). lncRNA-SOX2OT promotes hepatocellular carcinoma invasion and metastasis through miR-122-5p-mediated activation of PKM2. Oncogenesis. 9(5). 54–54. 47 indexed citations
8.
Yang, Mi, Qi Guo, Hui Peng, et al.. (2019). Krüppel-like factor 3 inhibition by mutated lncRNA Reg1cp results in human high bone mass syndrome. The Journal of Experimental Medicine. 216(8). 1944–1964. 51 indexed citations
9.
Wang, Zhihong, Longlong Luo, Yu Chen, et al.. (2019). Spliceosome protein Eftud2 promotes colitis-associated tumorigenesis by modulating inflammatory response of macrophage. Mucosal Immunology. 12(5). 1164–1173. 44 indexed citations
10.
Deng, Xiaobei, Xiaohuan Xia, Xin‐Rui Qi, et al.. (2018). Direct conversion of mouse astrocytes into neural progenitor cells and specific lineages of neurons. Translational Neurodegeneration. 7(1). 29–29. 26 indexed citations
11.
Yang, Mi, Changjun Li, Xi Sun, et al.. (2017). MiR-497∼195 cluster regulates angiogenesis during coupling with osteogenesis by maintaining endothelial Notch and HIF-1α activity. Nature Communications. 8(1). 16003–16003. 167 indexed citations
12.
Chen, Wei, Hongwei Lü, Jie Yang, Hong Xiang, & Hui Peng. (2016). Sphingosine 1-phosphate in metabolic syndrome (Review). International Journal of Molecular Medicine. 38(4). 1030–1038. 29 indexed citations
13.
Dong, Zhen, Yen‐Shan Chen, Fan Wang, et al.. (2015). Small-molecule inhibitors targeting the DNA-binding domain of STAT3 suppress tumor growth, metastasis and STAT3 target gene expression in vivo. Oncogene. 35(6). 783–792. 92 indexed citations
14.
Wang, Wei, Yan Zhang, Ming Lv, et al.. (2014). Anti-IGF-1R monoclonal antibody inhibits the carcinogenicity activity of acquired trastuzumab-resistant SKOV3. Journal of Ovarian Research. 7(1). 103–103. 7 indexed citations
15.
Wei, Yinxiang, Yuanfang Ma, Qing Zhao, et al.. (2012). New Use for an Old Drug: Inhibiting ABCG2 with Sorafenib. Molecular Cancer Therapeutics. 11(8). 1693–1702. 40 indexed citations
16.
17.
Gu, Xiaoke, Zhiguang Ren, Xiaobo Tang, et al.. (2012). Synthesis and biological evaluation of novel bifendate derivatives bearing 6,7-dihydro-dibenzo[c,e]azepine scaffold as potent P-glycoprotein inhibitors. European Journal of Medicinal Chemistry. 51. 137–144. 31 indexed citations
18.
Tang, Xiaobo, Xiaoke Gu, Hua Ai, et al.. (2011). Synthesis and evaluation of nitric oxide-releasing DDB derivatives as potential Pgp-mediated MDR reversal agents in MCF-7/Adr cells. Bioorganic & Medicinal Chemistry Letters. 22(2). 801–805. 18 indexed citations
19.
Wang, Cheng, et al.. (2008). Supernatant of cultured mesangial cells with IgA1 from IgA nephropathy induces apoptosis of podocyte. 24(6). 387–391. 2 indexed citations
20.
Cotter, Robin, et al.. (2002). Fractalkine (CX3CL1) and Brain Inflammation: Implications for HIV-1-Associated Dementia. Journal of NeuroVirology. 8(6). 585–598. 70 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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