Han Wang

2.4k total citations
113 papers, 1.7k citations indexed

About

Han Wang is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Han Wang has authored 113 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 47 papers in Cancer Research and 20 papers in Physiology. Recurrent topics in Han Wang's work include Cancer-related molecular mechanisms research (30 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (16 papers). Han Wang is often cited by papers focused on Cancer-related molecular mechanisms research (30 papers), MicroRNA in disease regulation (17 papers) and Circular RNAs in diseases (16 papers). Han Wang collaborates with scholars based in China, United States and United Kingdom. Han Wang's co-authors include Yu‐Zhong Wang, Min Cao, Haibo Zhao, Chengzhen Geng, Jinxu Liu, Anna Flender, Shujuan Zou, Nikos Werner, Georg Nickenig and Theresa Schmitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Han Wang

108 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Han Wang China 23 1.0k 566 152 141 128 113 1.7k
Ilkka Miinalainen Finland 28 1.4k 1.4× 455 0.8× 137 0.9× 186 1.3× 165 1.3× 85 2.1k
Dominique Bihan United Kingdom 29 825 0.8× 392 0.7× 83 0.5× 340 2.4× 173 1.4× 56 2.4k
Cong Yan China 22 797 0.8× 278 0.5× 122 0.8× 178 1.3× 193 1.5× 55 1.6k
In Young Park South Korea 20 954 1.0× 241 0.4× 101 0.7× 155 1.1× 82 0.6× 60 1.7k
Laurent Ramont France 22 740 0.7× 504 0.9× 79 0.5× 358 2.5× 115 0.9× 58 1.7k
Shuo Li China 20 588 0.6× 206 0.4× 106 0.7× 325 2.3× 159 1.2× 44 1.5k
Mei Zhang China 25 966 1.0× 306 0.5× 57 0.4× 256 1.8× 110 0.9× 54 1.8k
Qian Zhao China 20 726 0.7× 179 0.3× 91 0.6× 171 1.2× 136 1.1× 67 1.5k
Mandy J. Peffers United Kingdom 25 839 0.8× 501 0.9× 73 0.5× 97 0.7× 27 0.2× 118 1.9k

Countries citing papers authored by Han Wang

Since Specialization
Citations

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

Fields of papers citing papers by Han Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Han Wang. A scholar is included among the top collaborators of Han 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 Han Wang. Han 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
1.
Wang, Han, Tong Li, Jiaqi Zhang, et al.. (2025). Comparative transcriptome analysis reveals abscisic acid-induced bHLH transcription factors involved in saikosaponin biosynthesis in Bupleurum chinense DC. Plant Signaling & Behavior. 20(1). 2495301–2495301.
2.
Wang, Han, Fangming Liu, Xiaoling Wu, et al.. (2024). Cancer-associated fibroblasts contributed to hepatocellular carcinoma recurrence and metastasis via CD36-mediated fatty-acid metabolic reprogramming. Experimental Cell Research. 435(2). 113947–113947. 23 indexed citations
3.
Chen, Yang, Mingming Xiao, Yaqi Mo, et al.. (2024). Nuclear porcupine mediates XRCC6/Ku70 S-palmitoylation in the DNA damage response. Experimental Hematology and Oncology. 13(1). 109–109. 3 indexed citations
4.
Wang, Han, et al.. (2023). Dietary and ergogenic supplementation to improve elite swimming players’ performance and recovery. Science & Sports. 38(5-6). 510–518. 2 indexed citations
5.
Huang, Danyuan, Ding Xiong, Han Wang, et al.. (2023). Mitochondrial Dynamics: Working with the Cytoskeleton and Intracellular Organelles to Mediate Mechanotransduction. Aging and Disease. 14(5). 1511–1511. 23 indexed citations
6.
Yin, Songcheng, Huifang Liu, Zhijun Zhou, et al.. (2023). PUM1 Promotes Tumor Progression by Activating DEPTOR‐Meditated Glycolysis in Gastric Cancer. Advanced Science. 10(27). e2301190–e2301190. 17 indexed citations
7.
Li, Tian‐Cheng, Han Wang, Yukun Jiang, et al.. (2023). LITTIP/Lgr6/HnRNPK complex regulates cementogenesis via Wnt signaling. International Journal of Oral Science. 15(1). 33–33. 8 indexed citations
8.
Wang, Han, Juan Ni, Xihan Guo, Jinglun Xue, & Xu Wang. (2023). Effects of folate on telomere length and chromosome stability of human fibroblasts and melanoma cells in vitro: a comparison of folic acid and 5-methyltetrahydrofolate. Mutagenesis. 38(3). 160–168. 1 indexed citations
9.
Liu, Zhuang, Mingming Xiao, Yaqi Mo, et al.. (2022). Emerging roles of protein palmitoylation and its modifying enzymes in cancer cell signal transduction and cancer therapy. International Journal of Biological Sciences. 18(8). 3447–3457. 50 indexed citations
10.
Xie, Wenting, Dong Guo, Jieyin Li, et al.. (2022). CEND1 deficiency induces mitochondrial dysfunction and cognitive impairment in Alzheimer’s disease. Cell Death and Differentiation. 29(12). 2417–2428. 34 indexed citations
11.
Wang, Lili, Qin Li, Guangjun Jiao, et al.. (2020). Resveratrol Protects Osteoblasts Against Dexamethasone-Induced Cytotoxicity Through Activation of AMP-Activated Protein Kinase. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Ding, Y., Kai Wang, Yimin Huang, et al.. (2020). FTO Facilitates Lung Adenocarcinoma Cell Progression by Activating Cell Migration Through mRNA Demethylation. SHILAP Revista de lepidopterología. 2 indexed citations
13.
Li, Ting, et al.. (2020). Recurrence-Associated Long Non-coding RNA LNAPPCC Facilitates Colon Cancer Progression via Forming a Positive Feedback Loop with PCDH7. Molecular Therapy — Nucleic Acids. 20. 545–557. 9 indexed citations
14.
Wang, Han, Yang Liu, & Aifa Tang. (2019). Prognostic Values of Long Noncoding RNA linc00152 in Various Carcinomas: An Updated Systematic Review and Meta-Analysis. The Oncologist. 25(1). e31–e38. 8 indexed citations
15.
Chen, Yangshan, Yu Sun, Yongmei Cui, et al.. (2019). High CTHRC1 expression may be closely associated with angiogenesis and indicates poor prognosis in lung adenocarcinoma patients. Cancer Cell International. 19(1). 318–318. 15 indexed citations
16.
Wang, Qing, et al.. (2018). Defining the potency of amikacin against Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii derived from Chinese hospitals using CLSI and inhalation-based breakpoints. SHILAP Revista de lepidopterología. 2 indexed citations
17.
18.
Hu, Zebing, Han Wang, Yixuan Wang, et al.. (2017). Genome-wide analysis and prediction of functional long noncoding RNAs in osteoblast differentiation under simulated microgravity. Molecular Medicine Reports. 16(6). 8180–8188. 10 indexed citations
19.
Wang, Yang, Haijian Wu, Qiji Liu, et al.. (2013). Association of CHRNA5-A3-B4 Variation with Esophageal Squamous Cell Carcinoma Risk and Smoking Behaviors in a Chinese Population. PLoS ONE. 8(7). e67664–e67664. 14 indexed citations
20.
Wang, Chunyu, et al.. (2012). bFGF-induced human periodontal ligament fibroblasts proliferation through T-type voltage-dependent calcium channels. Acta Odontologica Scandinavica. 71(1). 9–14. 3 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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