Kai Fu

6.3k total citations · 1 hit paper
121 papers, 2.7k citations indexed

About

Kai Fu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kai Fu has authored 121 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 37 papers in Cancer Research and 29 papers in Oncology. Recurrent topics in Kai Fu's work include Circular RNAs in diseases (15 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (14 papers). Kai Fu is often cited by papers focused on Circular RNAs in diseases (15 papers), MicroRNA in disease regulation (14 papers) and Cancer-related molecular mechanisms research (14 papers). Kai Fu collaborates with scholars based in China, United States and Hong Kong. Kai Fu's co-authors include Weiwei Tang, Hongyong Cao, Dawei Rong, Handong Sun, Zhouxiao Li, Shuheng Liu, Fengyi Wan, Guanghui Wang, Haigang Ren and Eric M. Wier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kai Fu

112 papers receiving 2.7k citations

Hit Papers

An emerging function of circRNA-miRNAs-mRNA axis in human... 2017 2026 2020 2023 2017 100 200 300
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. An emerging function of circRNA-miRNAs-mRNA axis in human diseases
    2017 399 citations Kai Fu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Fu China 30 1.8k 1.0k 347 255 214 121 2.7k
Çığır Biray Avcı Türkiye 29 1.5k 0.9× 769 0.8× 503 1.4× 277 1.1× 298 1.4× 169 3.0k
Péter Hamar Hungary 28 1.8k 1.0× 727 0.7× 229 0.7× 360 1.4× 229 1.1× 102 3.2k
Xinyu Gu China 28 1.4k 0.8× 566 0.6× 422 1.2× 369 1.4× 218 1.0× 99 2.6k
Huihui Li China 29 1.8k 1.0× 1.1k 1.0× 847 2.4× 344 1.3× 298 1.4× 132 3.3k
Yi Feng China 29 1.1k 0.6× 576 0.6× 335 1.0× 183 0.7× 250 1.2× 92 2.2k
Shih Sheng Jiang Taiwan 32 1.5k 0.8× 565 0.6× 449 1.3× 266 1.0× 283 1.3× 91 2.5k
Jianda Zhou China 28 1.5k 0.9× 937 0.9× 633 1.8× 521 2.0× 266 1.2× 95 2.9k
Qing Xiao China 26 2.0k 1.1× 744 0.7× 572 1.6× 316 1.2× 300 1.4× 87 3.7k

Countries citing papers authored by Kai Fu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Fu. A scholar is included among the top collaborators of Kai Fu 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 Fu. Kai Fu 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.
Xie, Meilan, Kai Fu, Zhendong Li, et al.. (2025). Realizing Lean‐Electrolyte Zinc‐Ion Batteries via An Ultrathin and Cost‐Effective Separator. Advanced Functional Materials.
2.
Fu, Kai, Huijian Wang, Meilan Xie, et al.. (2025). Self-assembly of super-hydrophobic and zincophilic surface monolayer for durable Zn anodes. Energy storage materials. 78. 104281–104281. 6 indexed citations
3.
Li, Zhendong, Meilan Xie, Kai Fu, et al.. (2025). Parallel adsorption of parts-per-million level additives for highly efficient aqueous zinc-ion battery. Science China Materials. 68(12). 4516–4525.
4.
Li, Mengsi, Deng Pan, Wenguang Liu, et al.. (2025). Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study. Journal for ImmunoTherapy of Cancer. 13(3). e011126–e011126. 10 indexed citations
5.
Li, Shuxiang, Guang Fu, Desi Shang, et al.. (2025). TTI1 indicates a poor prognosis and is associated with metastasis and immunosuppression of colorectal cancer. Genes & Diseases. 13(3). 101727–101727.
6.
Wang, Huijian, Meilan Xie, Kai Fu, et al.. (2025). Superwetting aqueous electrolyte for highly stable zinc anodes. Chemical Engineering Journal. 522. 168124–168124. 1 indexed citations
7.
Liu, Tingting, Kai Fu, Meilan Xie, et al.. (2024). Conformal thioaluminate/aluminate polymer protective layer enables dendrite-free lithium metal batteries. Journal of Electroanalytical Chemistry. 964. 118314–118314. 1 indexed citations
8.
He, Yuqi, et al.. (2024). Nomogram for assistant diagnosing acute suppurative cholangitis: a case-control study. BMC Gastroenterology. 24(1). 322–322. 1 indexed citations
9.
Zhou, Sheng, et al.. (2024). The tripartite motif-containing 24 is a multifunctional player in human cancer. Cell & Bioscience. 14(1). 103–103. 7 indexed citations
10.
Li, Mengsi, Lan Zhou, Wenguang Liu, et al.. (2024). Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study. Journal for ImmunoTherapy of Cancer. 12(12). e009879–e009879. 9 indexed citations
11.
Wang, Xueping, Kenneth K.W. To, Min Luo, et al.. (2024). Circulating tumor cells shielded with extracellular vesicle-derived CD45 evade T cell attack to enable metastasis. Signal Transduction and Targeted Therapy. 9(1). 84–84. 15 indexed citations
12.
Fu, Kai, Tingting Liu, Meilan Xie, et al.. (2024). Water‐Lean Inner Helmholtz Plane Enabled by Tetrahydropyran for Highly Reversible Zinc Metal Anode. Advanced Functional Materials. 34(46). 40 indexed citations
13.
Zhang, Youyu, Yuqiao Chen, Wentao Huang, et al.. (2024). NPAS2 dampens chemo-sensitivity of lung adenocarcinoma cells by enhancing DNA damage repair. Cell Death and Disease. 15(1). 101–101. 5 indexed citations
14.
Fang, Hao, et al.. (2023). Forkhead box F2/ Lysyl oxidase like 1 contribute to epithelial-mesenchymal transition and angiogenesis in thyroid cancer. Cellular Signalling. 113. 110956–110956. 3 indexed citations
15.
Wang, Wenbo, et al.. (2023). MiR-223-3p increases resistance of colorectal cancer cells to 5-fluorouracil via targeting SORBS1.. PubMed. 48(3). 356–368. 3 indexed citations
16.
Fu, Kai, Eric M. Wier, Andrea Hodgson, et al.. (2021). Bacterial Genotoxin Accelerates Transient Infection–Driven Murine Colon Tumorigenesis. Cancer Discovery. 12(1). 236–249. 38 indexed citations
17.
18.
Zhang, Xiumin, Wen Liu, Jibo Zhang, et al.. (2019). Programming parameter analysis of subthalamic deep brain stimulation for the treatment of Parkinson′s disease. Zhonghua shenjing waike zazhi. 35(12). 1210–1215. 1 indexed citations
19.
Zhang, Ling, Weidong Gan, Kai Fu, et al.. (2019). piRNA‐DQ722010 contributes to prostate hyperplasia of the male offspring mice after the maternal exposed to microcystin‐leucine arginine. The Prostate. 79(7). 798–812. 15 indexed citations
20.
Munro, Elizabeth, Maneesh Jain, Esther Oliva, et al.. (2009). Upregulation of MUC4 in Cervical Squamous Cell Carcinoma: Pathologic Significance. International Journal of Gynecological Pathology. 28(2). 127–133. 22 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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