Ding‐Yi Fu

1.4k citations
37 papers · 1.3k · h-index 17

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 5
    • Nanocluster Synthesis and Applications 10
    • Polyoxometalates: Synthesis and Applications 5
    • Advanced Nanomaterials in Catalysis 4
    • Luminescence and Fluorescent Materials 4

Ding‐Yi Fu

37 papers receiving 1.2k citations

Peers

Ding‐Yi Fu
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 550
  • Molecular Biology 726
  • Physiology 33
  • Biomaterials 91
  • Inorganic Chemistry 94
Replace Chenyi Liao with:
Chenyi Liao China
Michael R. Langer Germany
Joseph Michael Caster United States
Serge Turcaud France
John T. Koh United States
Stephen C. Miller United States
Jeet Kalia United States
Justin A. Ross United States
Zohreh Toossi Farahbakhsh United States
Ding‐Yi Fu relative to Chenyi Liao China Chenyi Liao's profile →
Citations per field
00.5×2×3×4.0×
Chenyi Liao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ding‐Yi Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding‐Yi Fu Line = papers co-authored together Ding‐Yi Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997181
2 1995162
3 1999115
4 1996106
5 1995100
6 201479
7 202261
8 200152
9 199949
10 201847
11 200943
12 202129
13 201726
14 202024
15 202123
16 202221
17 202319
18 202216
19 199515
20 202215

About Ding‐Yi Fu

Ding‐Yi Fu is a scholar working on Cellular and Molecular Neuroscience, Materials Chemistry, Molecular Biology, Biomaterials and Inorganic Chemistry, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanocluster Synthesis and Applications (10 papers), Receptor Mechanisms and Signaling (7 papers), Chemical Synthesis and Analysis (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Polyoxometalates: Synthesis and Applications (5 papers), Lipid Membrane Structure and Behavior (4 papers), Advanced Nanomaterials in Catalysis (4 papers) and Luminescence and Fluorescent Materials (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (550 citations), Molecular Biology (726 citations), Physiology (33 citations), Biomaterials (91 citations) and Inorganic Chemistry (94 citations). Ding‐Yi Fu has collaborated with scholars based in China, United States and Australia. Frequent 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 Nikolaos K. Robakis. Their work appears in journals such as Analytical Chemistry, ACS Applied Materials & Interfaces, Journal of Materials Chemistry B, Journal of Molecular Liquids and Biochemistry.

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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