Kai Fan

2.1k total citations
54 papers, 1.6k citations indexed

About

Kai Fan is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Kai Fan has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Neurology. Recurrent topics in Kai Fan's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Stress Responses and Cortisol (4 papers) and Immune cells in cancer (4 papers). Kai Fan is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Stress Responses and Cortisol (4 papers) and Immune cells in cancer (4 papers). Kai Fan collaborates with scholars based in China, Japan and United States. Kai Fan's co-authors include Jianmei Ma, Xiaohan Yang, Yanli Zhang, Hanping Qi, Yonggang Cao, Kazuhiro Ikenaka, Gang Liu, Shuang Liu, Qianhui Zhang and Fenghua Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and PLoS ONE.

In The Last Decade

Kai Fan

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Fan China 24 591 287 230 220 174 54 1.6k
Jiyeon Ock South Korea 22 538 0.9× 465 1.6× 324 1.4× 144 0.7× 143 0.8× 60 1.6k
Yanli Zhang China 22 392 0.7× 350 1.2× 189 0.8× 268 1.2× 320 1.8× 66 1.6k
Wenjuan Huang China 17 516 0.9× 374 1.3× 165 0.7× 152 0.7× 191 1.1× 52 1.7k
Jan Kowalski Poland 25 671 1.1× 214 0.7× 262 1.1× 423 1.9× 259 1.5× 92 1.9k
Lin Sun China 28 833 1.4× 103 0.4× 304 1.3× 315 1.4× 202 1.2× 113 2.2k
Zhengrong Zhang China 23 720 1.2× 116 0.4× 121 0.5× 120 0.5× 84 0.5× 80 1.5k
Alper Bağrıyanık Türkiye 23 542 0.9× 197 0.7× 148 0.6× 175 0.8× 116 0.7× 86 1.8k
Le Yang China 30 1.2k 2.0× 364 1.3× 385 1.7× 218 1.0× 313 1.8× 117 2.7k
Hsiao‐Yun Lin Taiwan 22 473 0.8× 237 0.8× 171 0.7× 97 0.4× 106 0.6× 40 1.2k

Countries citing papers authored by Kai Fan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Fan. A scholar is included among the top collaborators of Kai Fan 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 Kai Fan. Kai Fan 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.
Yang, Xue, Kai Fan, Mei Zhou, et al.. (2025). Molecular Etching‐Derived High‐Brightness NIR‐II Gold Nanoclusters for High‐Resolution Bioimaging and Photothermal Therapy. Advanced Functional Materials. 35(24). 7 indexed citations
2.
Yang, Xue, Yanfang Wang, Siyu Li, et al.. (2025). Engineering a spatiotemporal macrophage circuit via STING phase separation to override immune suppression in pancreatic cancer. Proceedings of the National Academy of Sciences. 122(47). e2504718122–e2504718122. 2 indexed citations
3.
Fan, Kai, Xue Yang, Siyu Li, et al.. (2024). Acidic tumor microenvironment-activated MRI nanoprobes for modulation and visualization of anti-PD-L1 immunotherapy. Nano Today. 54. 102146–102146. 9 indexed citations
4.
Yin, Jianbin, Hua Zeng, Kai Fan, et al.. (2022). Pentraxin 3 regulated by miR-224-5p modulates macrophage reprogramming and exacerbates osteoarthritis associated synovitis by targeting CD32. Cell Death and Disease. 13(6). 567–567. 44 indexed citations
5.
Fan, Kai, et al.. (2021). Ezrin regulates synovial angiogenesis in rheumatoid arthritis through YAP and Akt signalling. Journal of Cellular and Molecular Medicine. 25(19). 9378–9389. 19 indexed citations
6.
Cao, Yonggang, Yongsheng Liu, Wei Huang, et al.. (2021). Shear stress inhibits cardiac microvascular endothelial cells apoptosis to protect against myocardial ischemia reperfusion injury via YAP/miR-206/PDCD4 signaling pathway. Biochemical Pharmacology. 186. 114466–114466. 16 indexed citations
7.
Liu, Yanna, Fenghua Xu, Shuang Liu, et al.. (2020). Significance of gastrointestinal tract in the therapeutic mechanisms of exercise in depression: Synchronism between brain and intestine through GBA. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 103. 109971–109971. 29 indexed citations
8.
Qi, Weizhong, Chuangxin Lin, Kai Fan, et al.. (2019). Hesperidin inhibits synovial cell inflammation and macrophage polarization through suppression of the PI3K/AKT pathway in complete Freund's adjuvant-induced arthritis in mice. Chemico-Biological Interactions. 306. 19–28. 66 indexed citations
9.
Liu, Qing, Yanli Zhang, Shuang Liu, et al.. (2019). Cathepsin C promotes microglia M1 polarization and aggravates neuroinflammation via activation of Ca2+-dependent PKC/p38MAPK/NF-κB pathway. Journal of Neuroinflammation. 16(1). 10–10. 103 indexed citations
10.
Alam, Shahid, Qing Liu, Shuang Liu, et al.. (2019). Up-regulated cathepsin C induces macrophage M1 polarization through FAK-triggered p38 MAPK/NF-κB pathway. Experimental Cell Research. 382(2). 111472–111472. 52 indexed citations
11.
Duan, Ting, Kai Fan, Shengrong Chen, et al.. (2016). Role of peroxiredoxin 2 in H2O2-induced oxidative stress of primary Leydig cells. Molecular Medicine Reports. 13(6). 4807–4813. 19 indexed citations
12.
Lu, Jin‐Chun, Jun Jing, Qi Yao, et al.. (2016). Relationship between Lipids Levels of Serum and Seminal Plasma and Semen Parameters in 631 Chinese Subfertile Men. PLoS ONE. 11(1). e0146304–e0146304. 42 indexed citations
13.
Li, Qin, et al.. (2015). Effect of Ursolic acid and Oleanolic acid on osteoblastic like cell-line MC3T3-E1.. Pakistan Veterinary Journal. 35(4). 414–419. 4 indexed citations
14.
Li, Qin, et al.. (2015). Effect of Fructus Ligustri Lucidi on osteoblastic like cell-line MC3T3-E1. Journal of Ethnopharmacology. 170. 88–95. 29 indexed citations
15.
Fan, Kai, et al.. (2015). Carvacrol induces the apoptosis of pulmonary artery smooth muscle cells under hypoxia. European Journal of Pharmacology. 770. 134–146. 29 indexed citations
16.
Jing, Jun, Li Chen, Haiyan Fu, et al.. (2015). Annexin V-induced rat Leydig cell proliferation involves Ect2 via RhoA/ROCK signaling pathway. Scientific Reports. 5(1). 9437–9437. 10 indexed citations
18.
Li, Shao, Bo Song, Yanli Zhang, et al.. (2014). The pathological changes in the spinal cord after dural tear with and without autologous fascia repair. European Spine Journal. 23(7). 1531–1540. 19 indexed citations
19.
Tanaka, Kenji F., Ko Matsui, Takuya Sasaki, et al.. (2012). Expanding the Repertoire of Optogenetically Targeted Cells with an Enhanced Gene Expression System. Cell Reports. 2(2). 397–406. 140 indexed citations
20.
Qi, Hanping, Kai Fan, Shu Wang, et al.. (2012). M3 Subtype of Muscarinic Acetylcholine Receptor Promotes Cardioprotection via the Suppression of miR-376b-5p. PLoS ONE. 7(3). e32571–e32571. 38 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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