Ding‐Yi Fu

1.4k total citations
37 papers, 1.2k citations indexed

About

Ding‐Yi Fu is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ding‐Yi Fu has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Materials Chemistry and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ding‐Yi Fu's work include Nanocluster Synthesis and Applications (10 papers), Receptor Mechanisms and Signaling (7 papers) and Chemical Synthesis and Analysis (5 papers). Ding‐Yi Fu is often cited by papers focused on Nanocluster Synthesis and Applications (10 papers), Receptor Mechanisms and Signaling (7 papers) and Chemical Synthesis and Analysis (5 papers). Ding‐Yi Fu collaborates with scholars based in China, United States and Australia. Ding‐Yi Fu's co-authors include Jonathan A. Javitch, Jiayun Chen, George Liapakis, Arthur Karlin, Yuqing Wu, Juan Antonio Ballesteros‐Cánovas, Harel Weinstein, Lixin Wu, Boris V. Skryabin and N.K. Robakis and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.

In The Last Decade

Ding‐Yi Fu

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding‐Yi Fu China 17 705 529 264 122 106 37 1.2k
Christophe Moreau France 18 961 1.4× 281 0.5× 195 0.7× 139 1.1× 479 4.5× 41 1.9k
Chenyi Liao China 21 665 0.9× 131 0.2× 162 0.6× 125 1.0× 187 1.8× 70 1.4k
Jinsong Hao United States 24 444 0.6× 89 0.2× 176 0.7× 200 1.6× 178 1.7× 59 1.7k
Mingxin Dong China 18 428 0.6× 651 1.2× 944 3.6× 420 3.4× 187 1.8× 54 1.6k
Erika M. Adkins United States 9 752 1.1× 449 0.8× 254 1.0× 32 0.3× 80 0.8× 11 1.1k
Tarsis F. Brust United States 14 666 0.9× 465 0.9× 74 0.3× 68 0.6× 192 1.8× 23 1.2k
Charlotte Martin Belgium 22 676 1.0× 248 0.5× 43 0.2× 443 3.6× 83 0.8× 82 1.5k
Michael Langer Germany 16 826 1.2× 253 0.5× 97 0.4× 195 1.6× 55 0.5× 27 1.5k
Tyler A. Smith United States 12 577 0.8× 136 0.3× 164 0.6× 127 1.0× 171 1.6× 20 1.1k
Thomas Ullrich United States 18 357 0.5× 400 0.8× 79 0.3× 160 1.3× 72 0.7× 35 1.1k

Countries citing papers authored by Ding‐Yi Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Yi Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding‐Yi Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ding‐Yi Fu. A scholar is included among the top collaborators of Ding‐Yi 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 Ding‐Yi Fu. Ding‐Yi 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.
Fu, Ding‐Yi, Yue Zhou, Kun Yang, et al.. (2025). Regulating the Evolution Pathway of the Cathode Electrolyte Interphase to Stabilize Li-Rich Cathode Materials. ACS Sustainable Chemistry & Engineering. 13(8). 3311–3320. 1 indexed citations
2.
Zhou, Mengyan, Zhihui Zhang, Qi Zheng, et al.. (2025). Ratiometric fluorescence quantification of folic acid utilizing D-penicillamine-based carbon dots in conjunction with glutathione S-transferase-Au nanoclusters. Microchimica Acta. 192(4). 231–231. 1 indexed citations
3.
Fu, Ding‐Yi, Huijie Miao, Zhong Lin Wang, & Chuang Yang. (2025). Gynecomastia and its potential progression to male breast cancer: Mechanisms, genetic factors, and hormonal interactions. Critical Reviews in Oncology/Hematology. 208. 104651–104651. 2 indexed citations
4.
Zhao, Sicong, et al.. (2023). Environment-friendly luminescent inks and films based on lanthanides toward advanced anti-counterfeiting. Journal of Molecular Liquids. 376. 121442–121442. 16 indexed citations
5.
Wang, Jiaxi, Wenting Chen, Lei Cao, et al.. (2023). Glutathione S-transferase templated copper nanoclusters as a fluorescent probe for turn-on sensing of chlorotetracycline. Nanoscale Advances. 6(2). 722–731. 5 indexed citations
6.
7.
Gao, Min, Jingfang Li, Ning Peng, et al.. (2022). Multi-stimuli responsive lanthanides-based luminescent hydrogels for advanced information encryption. Journal of Molecular Liquids. 368. 120681–120681. 19 indexed citations
8.
Jiang, Lijun, Jingfang Li, Min Gao, et al.. (2021). Lanthanide Polyoxometalate Based Water-Jet Film with Reversible Luminescent Switching for Rewritable Security Printing. ACS Applied Materials & Interfaces. 13(41). 49462–49471. 28 indexed citations
9.
Zhou, Mengjiao, Xiao Liu, Fangmin Chen, et al.. (2021). Stimuli-activatable nanomaterials for phototherapy of cancer. Biomedical Materials. 16(4). 42008–42008. 21 indexed citations
10.
Fu, Ding‐Yi, et al.. (2016). Potential applications of polyoxometalates for the discrimination of human papillomavirus in different subtypes. Dalton Transactions. 45(39). 15457–15463. 13 indexed citations
11.
Fu, Ding‐Yi, Tong Lu, Yuxue Liu, et al.. (2016). Enantioselective Inhibition of Human Papillomavirus L1 Pentamer Formation by Chiral‐Proline Modified Calix[4]arenes: Targeting the Protein Interface. ChemistrySelect. 1(19). 6243–6249. 9 indexed citations
12.
Zheng, Dongdong, Ding‐Yi Fu, Yuqing Wu, et al.. (2014). Efficient inhibition of human papillomavirus 16 L1 pentamer formation by a carboxylatopillarene and a p-sulfonatocalixarene. Chemical Communications. 50(24). 3201–3201. 76 indexed citations
13.
Fu, Ding‐Yi, et al.. (2013). Highly selective aza-nitrile inhibitors for cathepsin K, structural optimization and molecular modeling. Organic & Biomolecular Chemistry. 11(35). 5847–5847. 8 indexed citations
14.
15.
Jung, M., Boris V. Skryabin, Manabu Arai, et al.. (1999). Potentiation of the D2 mutant motor phenotype in mice lacking dopamine D2 and D3 receptors. Neuroscience. 91(3). 911–924. 110 indexed citations
16.
Durner, Martina, Ding‐Yi Fu, Paula Abreu, et al.. (1999). Evidence for Linkage of Adolescent-Onset Idiopathic Generalized Epilepsies to Chromosome 8—and Genetic Heterogeneity. The American Journal of Human Genetics. 64(5). 1411–1419. 45 indexed citations
17.
Javitch, Jonathan A., Ding‐Yi Fu, George Liapakis, & Jiayun Chen. (1997). Constitutive Activation of the β2 Adrenergic Receptor Alters the Orientation of Its Sixth Membrane-spanning Segment. Journal of Biological Chemistry. 272(30). 18546–18549. 172 indexed citations
18.
Javitch, Jonathan A., Ding‐Yi Fu, Jiayun Chen, & Arthur Karlin. (1995). Mapping the binding-site crevice of the dopamine D2 receptor by the substituted-cysteine accessibility method. Neuron. 14(4). 825–831. 153 indexed citations
19.
Fu, Ding‐Yi, Boris V. Skryabin, Jürgen Brosius, & Nikolaos K. Robakis. (1995). Molecular Cloning and Characterization of the Mouse Dopamine D 3 Receptor Gene: An Additional Intron and an mRNA Variant. DNA and Cell Biology. 14(6). 485–492. 13 indexed citations
20.
Javitch, Jonathan A., Ding‐Yi Fu, & Jiayun Chen. (1995). Residues in the Fifth Membrane-Spanning Segment of the Dopamine D2 Receptor Exposed in the Binding-Site Crevice. Biochemistry. 34(50). 16433–16439. 98 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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