Hanjin Wang

1.1k total citations
33 papers, 500 citations indexed

About

Hanjin Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Hanjin Wang has authored 33 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Immunology. Recurrent topics in Hanjin Wang's work include Circular RNAs in diseases (7 papers), Antimicrobial Peptides and Activities (5 papers) and MicroRNA in disease regulation (5 papers). Hanjin Wang is often cited by papers focused on Circular RNAs in diseases (7 papers), Antimicrobial Peptides and Activities (5 papers) and MicroRNA in disease regulation (5 papers). Hanjin Wang collaborates with scholars based in China, Germany and United States. Hanjin Wang's co-authors include Weiwei Tang, Zhouxiao Li, Hongyong Cao, Dawei Rong, Jianmin Bian, Guangshun Sun, Ye Cheng, Wubin Zheng, Guoqiang Sun and Hongwen Zhao and has published in prestigious journals such as Gene, Advanced Science and Environmental Research.

In The Last Decade

Hanjin Wang

33 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanjin Wang China 14 292 181 84 61 53 33 500
Vid Mlakar Slovenia 14 332 1.1× 130 0.7× 101 1.2× 40 0.7× 27 0.5× 28 603
Marie‐Pierre Cros France 18 566 1.9× 224 1.2× 105 1.3× 38 0.6× 9 0.2× 25 787
Xinyue Song China 14 503 1.7× 335 1.9× 114 1.4× 93 1.5× 10 0.2× 34 750
Diana Gietl United States 8 228 0.8× 111 0.6× 41 0.5× 58 1.0× 17 0.3× 10 423
András Penyige Hungary 15 443 1.5× 291 1.6× 124 1.5× 130 2.1× 8 0.2× 42 743
Ledan Wang China 11 203 0.7× 129 0.7× 21 0.3× 44 0.7× 15 0.3× 22 411
Xueying Yang China 15 474 1.6× 254 1.4× 124 1.5× 105 1.7× 5 0.1× 36 714
Carol S. Auletta United States 9 305 1.0× 46 0.3× 40 0.5× 103 1.7× 13 0.2× 19 544
Egon Urgard Estonia 11 242 0.8× 83 0.5× 31 0.4× 70 1.1× 16 0.3× 14 416
Walayat Shah Pakistan 13 109 0.4× 103 0.6× 239 2.8× 210 3.4× 12 0.2× 30 585

Countries citing papers authored by Hanjin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hanjin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanjin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanjin Wang. A scholar is included among the top collaborators of Hanjin 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 Hanjin Wang. Hanjin 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.
Li, Xiao, Xiaopei Hao, Yuliang Wang, et al.. (2024). GJB2 Promotes HCC Progression by Activating Glycolysis Through Cytoplasmic Translocation and Generating a Suppressive Tumor Microenvironment Based on Single Cell RNA Sequencing. Advanced Science. 11(39). e2402115–e2402115. 10 indexed citations
2.
Li, Haiyang, Na Zheng, Weiwei Tang, et al.. (2024). FSTL3 promotes tumor immune evasion and attenuates response to anti-PD1 therapy by stabilizing c-Myc in colorectal cancer. Cell Death and Disease. 15(2). 107–107. 9 indexed citations
3.
Li, Xiao, Liangliang Wu, Zhiying Zheng, et al.. (2022). Tegaserod Maleate Inhibits Breast Cancer Progression and Enhances the Sensitivity of Immunotherapy. Journal of Oncology. 2022. 1–12. 4 indexed citations
4.
Shi, Liang, Jun Wang, Hanjin Wang, et al.. (2022). Antitumour effects of apatinib in progressive, metastatic differentiated thyroid cancer (DTC). Endocrine. 78(1). 68–76. 2 indexed citations
5.
Liu, Hanyuan, Xiao Li, Haiyang Li, et al.. (2022). Potential molecular mechanisms and clinical progress in liver metastasis of breast cancer. Biomedicine & Pharmacotherapy. 149. 112824–112824. 11 indexed citations
6.
Li, Xiao, Guangshun Sun, Liangliang Wu, et al.. (2021). Upregulation of ADAR Promotes Breast Cancer Progression and Serves as a Potential Therapeutic Target. Journal of Oncology. 2021. 1–18. 12 indexed citations
7.
Li, Xiao, Wei Jiang, Liangliang Wu, et al.. (2021). Advances of circular RNAs in thyroid cancer: An overview. Biomedicine & Pharmacotherapy. 140. 111706–111706. 4 indexed citations
8.
Li, Zhitao, Wubin Zheng, Hanjin Wang, et al.. (2021). Application of Animal Models in Cancer Research: Recent Progress and Future Prospects. Cancer Management and Research. Volume 13. 2455–2475. 70 indexed citations
9.
Zheng, Wubin, Fan Wu, Kai Fu, et al.. (2021). Emerging Mechanisms and Treatment Progress on Liver Metastasis of Colorectal Cancer. OncoTargets and Therapy. Volume 14. 3013–3036. 15 indexed citations
10.
Chen, Liang, Hanjin Wang, Min Huang, et al.. (2020). Protective effect of supplementation with Ginseng, Lilii Bulbus and Poria against PM2.5 in air pollution‐induced cardiopulmonary damage among adults. Phytotherapy Research. 35(2). 877–887. 8 indexed citations
11.
Cheng, Ye, Hanjin Wang, Wei Jiang, et al.. (2019). <p>Star Circular RNAs In Human Cancer: Progress And Perspectives</p>. OncoTargets and Therapy. Volume 12. 8249–8261. 10 indexed citations
12.
Rong, Dawei, et al.. (2018). Upregulation of circ_0066444 promotes the proliferation, invasion, and migration of gastric cancer cells. OncoTargets and Therapy. Volume 11. 2753–2761. 28 indexed citations
13.
Xu, Tao, Xiuxiu Hu, Xiangxiang Liu, et al.. (2017). Association between SNPs in Long Non-coding RNAs and the Risk of Female Breast Cancer in a Chinese Population. Journal of Cancer. 8(7). 1162–1169. 24 indexed citations
14.
Tang, Weiwei, Hanjin Wang, Yuemei Wang, & Xiaowei Wang. (2017). <em>ERCC1</em> rs3212986 A/C polymorphism is not associated with chemotherapy treatment outcomes in gastric cancer patients: evidence from 11 publications in Chinese populations. OncoTargets and Therapy. Volume 11. 1–8. 3 indexed citations
15.
Tang, Weiwei, et al.. (2017). Health literacy and functional exercise adherence in postoperative breast cancer patients. Patient Preference and Adherence. Volume 11. 781–786. 17 indexed citations
16.
Tang, Weiwei, et al.. (2016). Galectin-3 may serve as a potential marker for diagnosis and prognosis in papillary thyroid carcinoma: a meta-analysis. OncoTargets and Therapy. 9. 455–455. 32 indexed citations
17.
Pei, Jing, et al.. (2013). Three novel antimicrobial peptides from the skin of Rana shuchinae. Gene. 521(2). 234–237. 4 indexed citations
18.
Zhao, Hongwen, Yi Kong, Hanjin Wang, et al.. (2011). A defensin‐like antimicrobial peptide from the venoms of spider, Ornithoctonus hainana. Journal of Peptide Science. 17(7). 540–544. 22 indexed citations
19.
Wang, Hanjin, et al.. (2010). A novel bombesin-like peptide from skin of Rana shuchinae. Molecular Biology Reports. 38(6). 3599–3603. 6 indexed citations
20.
Ye, Jilu, Hongwen Zhao, Hanjin Wang, Jianmin Bian, & Ruiqiang Zheng. (2010). A defensin antimicrobial peptide from the venoms of Nasonia vitripennis. Toxicon. 56(1). 101–106. 30 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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