Bing Han

7.2k total citations · 2 hit papers
100 papers, 5.2k citations indexed

About

Bing Han is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Bing Han has authored 100 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 34 papers in Cancer Research and 17 papers in Neurology. Recurrent topics in Bing Han's work include MicroRNA in disease regulation (24 papers), Cancer-related molecular mechanisms research (22 papers) and Circular RNAs in diseases (22 papers). Bing Han is often cited by papers focused on MicroRNA in disease regulation (24 papers), Cancer-related molecular mechanisms research (22 papers) and Circular RNAs in diseases (22 papers). Bing Han collaborates with scholars based in China, United States and Bangladesh. Bing Han's co-authors include Honghong Yao, Jie Chao, Ying Bai, Rongrong Huang, Gang Hu, Yuan Zhang, Li Yang, Xufeng Chen, Fangfang Wu and John H. Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Neuroscience.

In The Last Decade

Bing Han

93 papers receiving 5.1k citations

Hit Papers

Circular RNA and its mechanisms in disease: Fr... 2011 2026 2016 2021 2018 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Han China 38 3.5k 2.2k 510 361 313 100 5.2k
Ireneusz Majsterek Poland 37 2.3k 0.7× 619 0.3× 200 0.4× 584 1.6× 241 0.8× 238 5.2k
Muralidhar L. Hegde United States 43 3.6k 1.0× 545 0.2× 176 0.3× 202 0.6× 251 0.8× 111 5.4k
Ileana Giambanco Italy 34 3.4k 1.0× 566 0.3× 767 1.5× 422 1.2× 397 1.3× 68 5.4k
Jun Lü China 43 2.5k 0.7× 828 0.4× 406 0.8× 465 1.3× 231 0.7× 136 5.5k
Erxi Wu United States 46 3.1k 0.9× 1.3k 0.6× 233 0.5× 468 1.3× 494 1.6× 164 6.7k
Annamaria Cimini Italy 42 2.4k 0.7× 637 0.3× 402 0.8× 238 0.7× 202 0.6× 170 5.3k
Makoto Shibutani Japan 37 1.8k 0.5× 656 0.3× 212 0.4× 299 0.8× 332 1.1× 333 5.3k
Liping Chen China 33 2.0k 0.6× 725 0.3× 174 0.3× 195 0.5× 247 0.8× 221 3.8k
Yuhai Zhao United States 37 2.8k 0.8× 1.7k 0.8× 952 1.9× 200 0.6× 90 0.3× 86 4.9k
Fei Yin China 42 2.9k 0.8× 572 0.3× 610 1.2× 532 1.5× 516 1.6× 133 6.2k

Countries citing papers authored by Bing Han

Since Specialization
Citations

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

Fields of papers citing papers by Bing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Han. A scholar is included among the top collaborators of Bing 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 Bing Han. Bing 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
2.
Zhou, Zhixin, Bing Han, Yu Wang, et al.. (2024). Fast and sensitive multivalent spatial pattern-recognition for circular RNA detection. Nature Communications. 15(1). 10900–10900. 6 indexed citations
3.
Han, Bing, et al.. (2023). Autophagy in ischemic stroke: role of circular RNAs. SHILAP Revista de lepidopterología. 471–486. 1 indexed citations
4.
Li, Bin, Xi Wen, Ying Bai, et al.. (2023). FTO-dependent m6A modification of Plpp3 in circSCMH1-regulated vascular repair and functional recovery following stroke. Nature Communications. 14(1). 489–489. 73 indexed citations
5.
Yu, Qian, Jingyu Hou, Bing Han, et al.. (2023). Adipocyte YTH N(6)-methyladenosine RNA-binding protein 1 protects against obesity by promoting white adipose tissue beiging in male mice. Nature Communications. 14(1). 1379–1379. 17 indexed citations
6.
Bai, Ying, Bing Han, Yi Zhang, et al.. (2022). Advancements in Hydrogel Application for Ischemic Stroke Therapy. Gels. 8(12). 777–777. 13 indexed citations
7.
Yu, Xiaoyu, Ying Bai, Bing Han, et al.. (2022). Extracellular vesicle‐mediated delivery of circDYM alleviates CUS‐induced depressive‐like behaviours. Journal of Extracellular Vesicles. 11(1). e12185–e12185. 113 indexed citations
8.
Han, Bing, Xi Wen, Chao Yue, et al.. (2022). Mutual regulation of noncoding RNAs and RNA modifications in psychopathology: Potential therapeutic targets for psychiatric disorders?. Pharmacology & Therapeutics. 237. 108254–108254. 2 indexed citations
9.
Han, Bing, Saisai Wei, Fengying Li, et al.. (2021). Decoding m6A mRNA methylation by reader proteins in cancer. Cancer Letters. 518. 256–265. 21 indexed citations
10.
Huang, Rongrong, Yuan Zhang, Ying Bai, et al.. (2020). N6-Methyladenosine Modification of Fatty Acid Amide Hydrolase Messenger RNA in Circular RNA STAG1–Regulated Astrocyte Dysfunction and Depressive-like Behaviors. Biological Psychiatry. 88(5). 392–404. 127 indexed citations
11.
Li, Jing, Hualong Wang, Xiaojing Jin, et al.. (2020). hUC-MSCs ameliorated CUMS-induced depression by modulating complement C3 signaling-mediated microglial polarization during astrocyte-microglia crosstalk. Brain Research Bulletin. 163. 109–119. 41 indexed citations
12.
Zhang, Yuan, Xiaotian Zhang, Shuo Leng, et al.. (2019). Activation of Sigma-1 Receptor Enhanced Pericyte Survival via the Interplay Between Apoptosis and Autophagy: Implications for Blood–Brain Barrier Integrity in Stroke. Translational Stroke Research. 11(2). 267–287. 52 indexed citations
13.
Han, Bing, Loes Kistemaker, Andrew J. Halayko, et al.. (2018). Cigarette smoke up‐regulates PDE3 and PDE4 to decrease cAMP in airway cells. British Journal of Pharmacology. 175(14). 2988–3006. 35 indexed citations
14.
Huang, Rongrong, Yuan Zhang, Bing Han, et al.. (2017). Circular RNA HIPK2 regulates astrocyte activation via cooperation of autophagy and ER stress by targeting MIR124–2HG. Autophagy. 13(10). 1722–1741. 221 indexed citations
15.
Han, Bing, et al.. (2017). The Role of Hippocampal Structural Synaptic Plasticity in Repetitive Transcranial Magnetic Stimulation to Improve Cognitive Function in Male SAMP8 Mice. Cellular Physiology and Biochemistry. 41(1). 137–144. 21 indexed citations
16.
Yang, Li, Bing Han, Yuan Zhang, et al.. (2017). Engagement of circular RNA HECW2 in the nonautophagic role of ATG5 implicated in the endothelial-mesenchymal transition. Autophagy. 14(3). 404–418. 81 indexed citations
17.
Chao, Jie, Xingang Wang, Yuxia Zhang, et al.. (2016). Role of MCPIP1 in the Endothelial-Mesenchymal Transition Induced by Silica. Cellular Physiology and Biochemistry. 40(1-2). 309–325. 27 indexed citations
18.
Yuan, Jie, Bing Han, Yuan Geng, et al.. (2016). Effects of Chronic Stress on Cognition in Male SAMP8 Mice. Cellular Physiology and Biochemistry. 39(3). 1078–1086. 38 indexed citations
20.
Zhang, Leiming, Tian Wang, Huaying Fan, et al.. (2010). Escin may exert a synergistic anti-inflammatory effect with glucocorticoids. Health. 2(2). 79–81. 2 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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