Suping Han

852 total citations
30 papers, 709 citations indexed

About

Suping Han is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Suping Han has authored 30 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Suping Han's work include Cervical Cancer and HPV Research (8 papers), Reproductive System and Pregnancy (6 papers) and Endometriosis Research and Treatment (6 papers). Suping Han is often cited by papers focused on Cervical Cancer and HPV Research (8 papers), Reproductive System and Pregnancy (6 papers) and Endometriosis Research and Treatment (6 papers). Suping Han collaborates with scholars based in China and United States. Suping Han's co-authors include Bo Ding, Shilong Fu, Meilin Wang, Zhibin Hu, Zhengdong Zhang, Hongbing Shen, Xiaoyi Zhou, Jing Dong, Xinru Wang and Fulin Qiang and has published in prestigious journals such as Clinical Cancer Research, American Journal of Obstetrics and Gynecology and Frontiers in Immunology.

In The Last Decade

Suping Han

30 papers receiving 700 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Suping Han 389 289 175 127 123 30 709
Nupur Mukherjee 415 1.1× 154 0.5× 86 0.5× 89 0.7× 202 1.6× 33 689
Shu-Zhen Dai 235 0.6× 140 0.5× 81 0.5× 72 0.6× 74 0.6× 33 437
Yi-Te Yo 420 1.1× 158 0.5× 53 0.3× 118 0.9× 252 2.0× 11 685
Mike R. Wilson 462 1.2× 66 0.2× 105 0.6× 188 1.5× 109 0.9× 33 904
Hee‐Jung An 448 1.2× 319 1.1× 97 0.6× 40 0.3× 188 1.5× 16 721
Haruka Nishida 205 0.5× 128 0.4× 117 0.7× 82 0.6× 152 1.2× 37 472
C-Y. Hsieh 207 0.5× 115 0.4× 102 0.6× 102 0.8× 106 0.9× 15 470
Steve McClellan 380 1.0× 169 0.6× 101 0.6× 30 0.2× 321 2.6× 11 771
Xiuyan Yu 412 1.1× 208 0.7× 264 1.5× 55 0.4× 277 2.3× 35 916

Countries citing papers authored by Suping Han

Since Specialization
Citations

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

Fields of papers citing papers by Suping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suping Han

This figure shows the co-authorship network connecting the top 25 collaborators of Suping Han. A scholar is included among the top collaborators of Suping Han 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 Suping Han. Suping Han 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.
Chen, Jie, Pengfei Qin, Yanli Sun, & Suping Han. (2023). Histone lactylation promotes cell proliferation, migration and invasion through targeting HMGB1 in endometriosis. Journal of Biomedical Research. 37(6). 470–470. 14 indexed citations
2.
Zheng, Jing, et al.. (2022). Coupled nickel–cobalt nanoparticles/N,P,S-co-doped carbon hybrid nanocages with high performance for catalysis and protein adsorption. Dalton Transactions. 51(23). 9030–9038. 9 indexed citations
3.
Sun, Wei, Hang Dong, Suping Han, et al.. (2022). Construction of circRNA-associated ceRNA network reveals the regulation of fibroblast proliferation in cervical cancer. Gene. 844. 146824–146824. 6 indexed citations
4.
Liu, Juan, et al.. (2022). Molecular subtypes, clinical significance, and tumor immune landscape of angiogenesis-related genes in ovarian cancer. Frontiers in Oncology. 12. 995929–995929. 2 indexed citations
5.
Han, Suping, et al.. (2022). A ratiometric fluorescent nanoprobe for ultrafast imaging of peroxynitrite in living cells. JBIC Journal of Biological Inorganic Chemistry. 27(6). 595–603. 5 indexed citations
6.
Ding, Bo, Wei Sun, Suping Han, et al.. (2018). Cytochrome P450 1A1 gene polymorphisms and cervical cancer risk. Medicine. 97(13). e0210–e0210. 21 indexed citations
7.
Cao, Jian, Huiling Li, Guangquan Liu, Suping Han, & Pengfei Xu. (2017). Knockdown of JARID2 inhibits the proliferation and invasion of ovarian cancer through the PI3K/Akt signaling pathway. Molecular Medicine Reports. 16(3). 3600–3605. 17 indexed citations
8.
Li, Yujuan, Yang� Yang, Xiaoqin Wu, et al.. (2017). Comparative Gene Expression Analysis of Lymphocytes Treated with Exosomes Derived from Ovarian Cancer and Ovarian Cysts. Frontiers in Immunology. 8. 607–607. 21 indexed citations
9.
Ding, Bo, Wei Sun, Suping Han, Yunlang Cai, & Mulan Ren. (2014). Polymorphisms of glutathione S-transferase M1 (GSTM1) and T1 (GSTT1) and endometriosis risk: a meta-analysis. European Journal of Obstetrics & Gynecology and Reproductive Biology. 183. 114–120. 6 indexed citations
10.
Wang, Miaomiao, Haiyan Chu, Shizhi Wang, et al.. (2013). Genetic variant in APE1 gene promoter contributes to cervical cancer risk. American Journal of Obstetrics and Gynecology. 209(4). 360.e1–360.e7. 19 indexed citations
11.
Ding, Bo, Shilong Fu, Meilin Wang, et al.. (2011). Tumor Necrosis Factor α -308 G>A Polymorphisms and Cervical Cancer Risk. International Journal of Gynecological Cancer. 22(2). 213–219. 18 indexed citations
12.
Wang, Meilin, Bo Ding, Wei Wang, et al.. (2011). Polymorphism of the pre-miR-146a is associated with risk of cervical cancer in a Chinese population. Gynecologic Oncology. 122(1). 33–37. 88 indexed citations
13.
Zhou, Xiaoyi, Xiaojun Chen, Lingmin Hu, et al.. (2010). Polymorphisms involved in the miR-218-LAMB3 pathway and susceptibility of cervical cancer, a case–control study in Chinese women. Gynecologic Oncology. 117(2). 287–290. 56 indexed citations
14.
Ni, Jing, Meilin Wang, Miaomiao Wang, et al.. (2010). CCND1 G870A polymorphism and cervical cancer risk: a case–control study and meta-analysis. Journal of Cancer Research and Clinical Oncology. 137(3). 489–494. 16 indexed citations
15.
Han, Suping. (2009). The relationship between XRCC1 polymorphisms and the risk of cervical cancer in Jiangsu population. 7 indexed citations
16.
Chen, Xiaojun, Suping Han, Fulin Qiang, et al.. (2009). Circulating IL-1β levels, polymorphisms of IL-1B, and risk of cervical cancer in Chinese women. Journal of Cancer Research and Clinical Oncology. 136(5). 709–716. 55 indexed citations
17.
Han, Suping, et al.. (2009). Ectopic, autologous eutopic and normal endometrial stromal cells have altered expression and chemotactic activity of RANTES. European Journal of Obstetrics & Gynecology and Reproductive Biology. 143(1). 55–60. 9 indexed citations
18.
Zhou, Xiaoyi, Suping Han, Sumin Wang, et al.. (2009). Polymorphisms in HPV E6/E7 protein interacted genes and risk of cervical cancer in Chinese women: A case-control analysis. Gynecologic Oncology. 114(2). 327–331. 29 indexed citations
19.
20.
Zhang, Bei, Jiayin Liu, Jinshun Pan, et al.. (2006). Combined Treatment of Ionizing Radiation With Genistein on Cervical Cancer HeLa Cells. Journal of Pharmacological Sciences. 102(1). 129–135. 28 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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