Fanfan Chen

896 total citations · 1 hit paper
19 papers, 726 citations indexed

About

Fanfan Chen is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Fanfan Chen has authored 19 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Molecular Biology. Recurrent topics in Fanfan Chen's work include Nanopore and Nanochannel Transport Studies (8 papers), Fuel Cells and Related Materials (5 papers) and Mesenchymal stem cell research (4 papers). Fanfan Chen is often cited by papers focused on Nanopore and Nanochannel Transport Studies (8 papers), Fuel Cells and Related Materials (5 papers) and Mesenchymal stem cell research (4 papers). Fanfan Chen collaborates with scholars based in China and United States. Fanfan Chen's co-authors include Jiandong Feng, Yang Xu, Yuxian Lu, Jinmei Yang, Yuang Chen, Jinrun Dong, Xiaodan Jiang, Run Zhang, Bingke Lv and Ke Yan and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Fanfan Chen

19 papers receiving 718 citations

Hit Papers

align trajectories

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.

Direct imaging of single-molecule electrochemical reactions in solution

2021 268 citations Jinrun Dong, Yuxian Lu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fanfan Chen China	12	379	238	139	138	130	19	726
Lipeng Bai China	13	353 0.9×	113 0.5×	36 0.3×	30 0.2×	113 0.9×	25	613
Yingjun Tan China	17	373 1.0×	140 0.6×	40 0.3×	68 0.5×	223 1.7×	34	1.1k
Shupei Zhang China	16	500 1.3×	238 1.0×	21 0.2×	69 0.5×	263 2.0×	27	876
Yu-Heng Cheng United States	12	189 0.5×	202 0.8×	29 0.2×	76 0.6×	33 0.3×	13	603
Petr Pospíšil Czechia	15	173 0.5×	80 0.3×	329 2.4×	12 0.1×	81 0.6×	59	813
Sungwoon Lee South Korea	15	300 0.8×	200 0.8×	36 0.3×	7 0.1×	132 1.0×	23	657
Giorgia Nardone Italy	6	279 0.7×	209 0.9×	26 0.2×	18 0.1×	247 1.9×	6	893
Jung Won Yoon South Korea	18	299 0.8×	139 0.6×	103 0.7×	5 0.0×	185 1.4×	51	889
Xiaowei Kang China	13	75 0.2×	50 0.2×	72 0.5×	99 0.7×	65 0.5×	28	601

Countries citing papers authored by Fanfan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Fanfan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanfan Chen

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

All Works

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19 of 19 papers shown

Wang, Fushi, et al.. (2023). MoS2 nanopore identifies single amino acids with sub-1 Dalton resolution. Nature Communications. 14(1). 2895–2895. 47 indexed citations

Chen, Yuang, et al.. (2023). Light-Driven Ion Transport through Single-Heterojunction Nanopores. Nano Letters. 23(3). 1010–1016. 14 indexed citations

Chen, Fanfan, et al.. (2023). Inducing Electric Current in Graphene Using Ionic Flow. Nano Letters. 23(10). 4464–4470. 10 indexed citations

Gu, Zonglin, Zhimin He, Fanfan Chen, et al.. (2022). Ionic Liquid Decelerates Single-Stranded DNA Transport through Molybdenum Disulfide Nanopores. ACS Applied Materials & Interfaces. 14(28). 32618–32624. 11 indexed citations

Chen, Fanfan, et al.. (2022). Ion Density-Dependent Dynamic Conductance Switching in Biomimetic Graphene Nanopores. The Journal of Physical Chemistry Letters. 13(16). 3602–3608. 2 indexed citations

Xu, Yang, Yuang Chen, Fanfan Chen, et al.. (2022). Nonlinear electrohydrodynamic ion transport in graphene nanopores. Science Advances. 8(2). eabj2510–eabj2510. 43 indexed citations

Dong, Jinrun, Yuxian Lu, Yang Xu, et al.. (2021). Direct imaging of single-molecule electrochemical reactions in solution. Nature. 596(7871). 244–249. 268 indexed citations breakdown →

Yang, Jinmei, Yuxian Lu, Lei Jin, et al.. (2021). Dynamic Optical Visualization of Proton Transport Pathways at Water–Solid Interfaces. Angewandte Chemie. 134(2). 1 indexed citations

Chen, Fanfan, Zonglin Gu, Yuang Chen, et al.. (2021). Ionic conductance oscillations in sub-nanometer pores probed by optoelectronic control. Matter. 4(7). 2378–2391. 17 indexed citations

10.

Yang, Jinmei, Yuxian Lu, Yuang Chen, et al.. (2021). Dynamic Optical Visualization of Proton Transport Pathways at Water–Solid Interfaces. Angewandte Chemie International Edition. 61(2). e202112150–e202112150. 7 indexed citations

11.

Chen, Fanfan, et al.. (2018). Optimal error estimate for energy-preserving splitting schemes for Maxwell’s equations. Applied Mathematics and Computation. 333. 32–41. 1 indexed citations

12.

Yin, Jun, et al.. (2017). MicroRNA-1288 promotes cell proliferation of human glioblastoma cells by repressing ubiquitin carboxyl-terminal hydrolase CYLD expression. Molecular Medicine Reports. 16(5). 6764–6770. 5 indexed citations

13.

Xu, Limin, Lei Chen, Feng Li, et al.. (2016). Over-expression of the long non-coding RNA HOTTIP inhibits glioma cell growth by BRE. Journal of Experimental & Clinical Cancer Research. 35(1). 162–162. 42 indexed citations

14.

Huang, Weiyi, Bingke Lv, Huijun Zeng, et al.. (2015). Paracrine Factors Secreted by MSCs Promote Astrocyte Survival Associated With GFAP Downregulation After Ischemic Stroke via p38 MAPK and JNK. Journal of Cellular Physiology. 230(10). 2461–2475. 65 indexed citations

15.

Chen, Fanfan, Lei Chen, Weiyi Huang, et al.. (2015). Up-regulation of microRNA-16 in Glioblastoma Inhibits the Function of Endothelial Cells and Tumor Angiogenesis by Targeting Bmi-1. Anti-Cancer Agents in Medicinal Chemistry. 16(5). 609–620. 27 indexed citations

16.

Liu, Yi, Run Zhang, Ke Yan, et al.. (2014). MSCs inhibit bone marrow-derived DC maturation and function through the release of TSG-6. Biochemical and Biophysical Research Communications. 450(4). 1409–1415. 55 indexed citations

17.

Yan, Ke, Run Zhang, Lei Chen, et al.. (2014). Nitric oxide-mediated immunosuppressive effect of human amniotic membrane-derived mesenchymal stem cells on the viability and migration of microglia. Brain Research. 1590. 1–9. 20 indexed citations

18.

Yan, Ke, Run Zhang, Chengmei Sun, et al.. (2013). Bone Marrow-Derived Mesenchymal Stem Cells Maintain the Resting Phenotype of Microglia and Inhibit Microglial Activation. PLoS ONE. 8(12). e84116–e84116. 51 indexed citations

19.

Lei, Chen, Xiangrong Chen, Fanfan Chen, et al.. (2013). MicroRNA-107 Inhibits U87 Glioma Stem Cells Growth and Invasion. Cellular and Molecular Neurobiology. 33(5). 651–657. 40 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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