Bohong Kan

424 total citations
21 papers, 325 citations indexed

About

Bohong Kan is a scholar working on Physiology, Neurology and Complementary and alternative medicine. According to data from OpenAlex, Bohong Kan has authored 21 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Neurology and 5 papers in Complementary and alternative medicine. Recurrent topics in Bohong Kan's work include Alzheimer's disease research and treatments (7 papers), Analytical chemistry methods development (5 papers) and Acupuncture Treatment Research Studies (5 papers). Bohong Kan is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Analytical chemistry methods development (5 papers) and Acupuncture Treatment Research Studies (5 papers). Bohong Kan collaborates with scholars based in China and United Kingdom. Bohong Kan's co-authors include Jingxian Han, Jianchun Yu, Kongyin Zhao, Junfu Wei, Huiyan Shi, Beibei Lin, Xuezhu Zhang, Lan Zhao, Lan Zhao and Haiyan Cheng and has published in prestigious journals such as RSC Advances, Colloids and Surfaces A Physicochemical and Engineering Aspects and Neuroscience Letters.

In The Last Decade

Bohong Kan

21 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bohong Kan China 12 115 73 73 69 55 21 325
Zhengxing Rong China 12 79 0.7× 27 0.4× 98 1.3× 147 2.1× 10 0.2× 15 543
Siqin Huang China 14 92 0.8× 59 0.8× 75 1.0× 196 2.8× 8 0.1× 34 706
Xuezhu Zhang China 16 396 3.4× 253 3.5× 201 2.8× 240 3.5× 32 0.6× 46 910
Chaohua Luo China 14 82 0.7× 135 1.8× 62 0.8× 223 3.2× 7 0.1× 31 544
Paria Hashemi Iran 13 18 0.2× 20 0.3× 33 0.5× 61 0.9× 69 1.3× 23 332
Shujiao Chen China 13 70 0.6× 22 0.3× 34 0.5× 133 1.9× 9 0.2× 32 496
Zhengxiang Zhang China 12 43 0.4× 25 0.3× 65 0.9× 166 2.4× 30 0.5× 38 542
Wenzhu Wang China 12 26 0.2× 108 1.5× 31 0.4× 157 2.3× 6 0.1× 39 556
Xianghong Zeng China 9 154 1.3× 100 1.4× 33 0.5× 112 1.6× 12 0.2× 14 491
Rafael M. Fernandes Brazil 12 22 0.2× 46 0.6× 74 1.0× 38 0.6× 9 0.2× 20 536

Countries citing papers authored by Bohong Kan

Since Specialization
Citations

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

Fields of papers citing papers by Bohong Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bohong Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Bohong Kan. A scholar is included among the top collaborators of Bohong Kan 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 Bohong Kan. Bohong Kan 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, Yixin, et al.. (2025). Protein imprinted CaAlg/CaSiO3 hybrid hydrogel modified electrochemical sensor for sensitive detection of BSA. Colloids and Surfaces A Physicochemical and Engineering Aspects. 713. 136506–136506. 1 indexed citations
2.
Dai, Fengying, Bo Zhang, Junqiang Zhao, et al.. (2023). Overcoming the structure deficiency of nanodrug coated with tannic acid shell through phenolic hydroxyl protection strategy for Alzheimer's disease combination treatment. Biomaterials Advances. 154. 213651–213651. 4 indexed citations
3.
Kan, Bohong, et al.. (2023). Acupuncture Improves Synaptic Plasticity of SAMP8 Mice through theRhoA/ROCK Pathway. Current Alzheimer Research. 20(6). 420–430. 7 indexed citations
4.
Kan, Bohong, et al.. (2023). Research Progress of Mitophagy in Alzheimer's Disease. Current Alzheimer Research. 20(12). 827–844. 2 indexed citations
5.
Wang, Yu, Lan Zhao, Huiyan Shi, Yujie Jia, & Bohong Kan. (2021). [RhoA/ROCK pathway involved in effects of Sanjiao acupuncture on learning and memory and synaptic plasticity in Alzheimer's disease mice].. PubMed. 46(8). 635–41. 4 indexed citations
6.
Liu, Jianwei, et al.. (2020). Acupuncture accelerates neural regeneration and synaptophysin production after neural stem cells transplantation in mice. World Journal of Stem Cells. 12(12). 1576–1590. 16 indexed citations
7.
Zhao, Lan, Chunlei Zhou, Huiyan Shi, et al.. (2018). Combined acupuncture and HuangDiSan treatment affects behavior and synaptophysin levels in the hippocampus of senescence-accelerated mouse prone 8 after neural stem cell transplantation. Neural Regeneration Research. 13(3). 541–541. 13 indexed citations
8.
Kan, Bohong, et al.. (2018). Acupuncture improves dendritic structure and spatial learning and memory ability of Alzheimer's disease mice. Neural Regeneration Research. 13(8). 1390–1390. 28 indexed citations
9.
Wang, Yu, Lan Zhao, Bohong Kan, Huiyan Shi, & Jingxian Han. (2018). miR-22 exerts anti-alzheimic effects via the regulation of apoptosis of hippocampal neurons. Cellular and Molecular Biology. 64(15). 84–89. 14 indexed citations
10.
Zhao, Lan, Xuezhu Zhang, Bohong Kan, et al.. (2017). Acupuncture Upregulates G Protein Coupled Activity in Samp8 Mice. Acupuncture in Medicine. 35(4). 289–296. 11 indexed citations
11.
Zhao, Lan, Chunlei Zhou, Li Li, et al.. (2016). Acupuncture Improves Cerebral Microenvironment in Mice with Alzheimer’s Disease Treated with Hippocampal Neural Stem Cells. Molecular Neurobiology. 54(7). 5120–5130. 25 indexed citations
12.
Zhu, Dunwan, Zhuo Chen, Kongyin Zhao, et al.. (2015). Polypropylene non-woven supported fibronectin molecular imprinted calcium alginate/polyacrylamide hydrogel film for cell adhesion. Chinese Chemical Letters. 26(6). 807–810. 11 indexed citations
13.
Zhu, Dunwan, Zhuo Chen, Kongyin Zhao, et al.. (2015). Adsorption and sustained release of haemoglobin imprinted polysiloxane using a calcium alginate film as a matrix. RSC Advances. 5(34). 26977–26984. 4 indexed citations
14.
Kan, Bohong, et al.. (2014). Preparation and characterization of protein molecularly imprinted polysiloxane using mesoporous calcium silicate as matrix by sol–gel technology. Journal of Sol-Gel Science and Technology. 71(3). 428–436. 20 indexed citations
15.
Zhao, Kongyin, Beibei Lin, Bohong Kan, et al.. (2014). Adsorption and recognition of protein molecular imprinted calcium alginate/polyacrylamide hydrogel film with good regeneration performance and high toughness. Reactive and Functional Polymers. 87. 7–14. 45 indexed citations
16.
Li, Sidi, et al.. (2014). Preparation of tricalcium phosphate–calcium alginate composite flat sheet membranes and their application for protein release. Polymer Composites. 36(10). 1899–1906. 6 indexed citations
17.
18.
Zhao, Lan, Peng Shen, Yingying Han, et al.. (2011). Effects of Acupuncture on Glycometabolic Enzymes in Multi-infarct Dementia Rats. Neurochemical Research. 36(5). 693–700. 16 indexed citations
19.
Yu, Jianchun, Yingying Han, Haiyan Cheng, et al.. (2011). [Combination of acupoints based on the theory of qi tonification, blood regulation and strengthening the primary source].. PubMed. 31(9). 814–6. 1 indexed citations
20.
Cheng, Haiyan, Jianchun Yu, Zhiguo Jiang, et al.. (2008). Acupuncture improves cognitive deficits and regulates the brain cell proliferation of SAMP8 mice. Neuroscience Letters. 432(2). 111–116. 76 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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