Xiaobing Han

1.8k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Xiaobing Han is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xiaobing Han has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xiaobing Han's work include Ion channel regulation and function (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer-related gene regulation (3 papers). Xiaobing Han is often cited by papers focused on Ion channel regulation and function (3 papers), Cancer-related Molecular Pathways (3 papers) and Cancer-related gene regulation (3 papers). Xiaobing Han collaborates with scholars based in China and United States. Xiaobing Han's co-authors include Ziwei Huang, Srinivasa M. Srinivasula, Jialun Wang, Dongxiang Liu, Simei Shan, Zhijia Zhang, Emad S. Alnemri, Carlo M. Croce, Salomon Amar and Tian Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Xiaobing Han

16 papers receiving 1.5k citations

Hit Papers

Structure-based discovery of an organic compound that bin... 2000 2026 2008 2017 2000 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Structure-based discovery of an organic compound that binds Bcl-2 protein and induces apoptosis of tumor cells
    2000 1.0k citations Jialun Wang, Dongxiang Liu et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobing Han China 12 851 603 228 205 151 17 1.5k
Simei Shan United States 8 670 0.8× 577 1.0× 210 0.9× 186 0.9× 73 0.5× 9 1.3k
Valeria La Pietra Italy 22 557 0.7× 236 0.4× 106 0.5× 281 1.4× 128 0.8× 46 994
Wang‐Qing Liu France 20 805 0.9× 194 0.3× 129 0.6× 283 1.4× 95 0.6× 54 1.2k
Mirela Sedić Croatia 18 514 0.6× 705 1.2× 58 0.3× 136 0.7× 111 0.7× 49 1.3k
Yohei Saito Japan 21 632 0.7× 228 0.4× 120 0.5× 214 1.0× 151 1.0× 82 1.2k
Francesca Musumeci Italy 23 861 1.0× 577 1.0× 47 0.2× 247 1.2× 110 0.7× 65 1.6k
Gary E. Schiltz United States 18 910 1.1× 265 0.4× 49 0.2× 306 1.5× 185 1.2× 52 1.5k
Ciro Mercurio Italy 24 1.4k 1.7× 298 0.5× 68 0.3× 469 2.3× 137 0.9× 52 1.9k
Ryohei Furumai Japan 14 1.7k 2.0× 216 0.4× 92 0.4× 484 2.4× 119 0.8× 17 1.8k
Yangping Wu China 14 509 0.6× 212 0.4× 70 0.3× 244 1.2× 110 0.7× 22 933

Countries citing papers authored by Xiaobing Han

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Han. A scholar is included among the top collaborators of Xiaobing 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 Xiaobing Han. Xiaobing Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
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Tian, Ping, Ling Tao, Yujun Wang, & Xiaobing Han. (2020). MicroRNA‐127 Inhibits the Progression of Melanoma by Downregulating Delta‐Like Homologue 1. BioMed Research International. 2020(1). 8523465–8523465. 9 indexed citations
4.
Han, Xiaobing, et al.. (2019). The PVT1/miR-216b/Beclin-1 regulates cisplatin sensitivity of NSCLC cells via modulating autophagy and apoptosis. Cancer Chemotherapy and Pharmacology. 83(5). 921–931. 72 indexed citations
5.
Wright, Forrest A., et al.. (2016). The Stability and Expression Level of Bok Are Governed by Binding to Inositol 1,4,5-Trisphosphate Receptors. Journal of Biological Chemistry. 291(22). 11820–11828. 47 indexed citations
6.
Xi, Jingle, Yongmei Feng, Na Huang, et al.. (2013). Development of a Novel Class of Tubulin Inhibitors with Promising Anticancer Activities. Molecular Cancer Research. 11(8). 856–864. 37 indexed citations
7.
Lin, Nan, Tian Wang, Xiaofeng Han, et al.. (2012). Design, Synthesis, and Biological Evaluation of New Diaminoquinazolines as β-Catenin/Tcf4 Pathway Inhibitors. Journal of Medicinal Chemistry. 55(3). 1346–1359. 16 indexed citations
8.
Wang, Tian, Xiaofeng Han, Maocai Yan, et al.. (2011). Structure-Based Discovery of a Novel Inhibitor Targeting the β-Catenin/Tcf4 Interaction. Biochemistry. 51(2). 724–731. 70 indexed citations
9.
Xing, Hui, Xiaobing Han, Xiaoyan Shi, et al.. (2008). Apoptosis of HeLa cells induced by cisplatin and its mechanism. Journal of Huazhong University of Science and Technology [Medical Sciences]. 28(2). 197–199. 21 indexed citations
10.
Han, Xiaobing, Ling Xi, Hui Wang, et al.. (2008). The potassium ion channel opener NS1619 inhibits proliferation and induces apoptosis in A2780 ovarian cancer cells. Biochemical and Biophysical Research Communications. 375(2). 205–209. 42 indexed citations
11.
Xing, Hui, Danhui Weng, Xiaohong Song, et al.. (2008). Inhibition of Akt signaling by SN-38 induces apoptosis in cervical cancer. Cancer Letters. 274(1). 47–53. 15 indexed citations
12.
Han, Xiaobing, Fang Wang, Hui Xing, et al.. (2007). Heat shock proteins and p53 play a critical role in K+ channel-mediated tumor cell proliferation and apoptosis. APOPTOSIS. 12(10). 1837–1846. 40 indexed citations
13.
Han, Xiaobing, et al.. (2006). [Inhibitory effects of tetraethylammonium on proliferation and voltage-gated potassium channels in human cervical carcinoma cell line SiHa].. PubMed. 25(4). 451–5. 2 indexed citations
14.
Xing, Hui, et al.. (2005). The mechanism of cisplatin-induced apoptosis in HeLa cells. Chinese Journal of Clinical Oncology. 2(6). 866–869. 6 indexed citations
15.
Han, Xiaobing & Salomon Amar. (2003). IGF-1 Signaling Enhances Cell Survival in Periodontal Ligament Fibroblasts vs. Gingival Fibroblasts. Journal of Dental Research. 82(6). 454–459. 54 indexed citations
16.
Wang, Jialun, Dongxiang Liu, Zhijia Zhang, et al.. (2000). Structure-based discovery of an organic compound that binds Bcl-2 protein and induces apoptosis of tumor cells. Proceedings of the National Academy of Sciences. 97(13). 7124–7129. 1038 indexed citations breakdown →
17.
Song, Li, Jimin Gao, Takashi Satoh, et al.. (1997). A computer screening approach to immunoglobulin superfamily structures and interactions: Discovery of small non-peptidic CD4 inhibitors as novel immunotherapeutics. Proceedings of the National Academy of Sciences. 94(1). 73–78. 49 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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