Zhan‐Da Fu

563 citations
13 papers · 455 · 1 hit paper · h-index 10

Impact in

Papers in

Zhan‐Da Fu

13 papers receiving 454 citations

Zhan‐Da Fu's Hit Papers

Progress of Wnt Signaling Pathway in Osteoporosis 2023 · 109 citations
1090+1+2Years since publication255075100

Peers

Zhan‐Da Fu
Comparison fields: 5 of 64
  • Physical and Theoretical Chemistry 86
  • Organic Chemistry 211
  • Spectroscopy 114
  • Mechanics of Materials 112
  • Materials Chemistry 191
Replace Felaniaina Rakotondradany with:
Felaniaina Rakotondradany Canada
Václav Vaněk Czechia
Felix C. Niemeyer Germany
Masao Kawai Japan
Michelle Hutnik United States
Ieva Goldberga France
Jian-Ping Sun China
Calvin V. Chau United States
Evan J. Bekos United States
Osamu Mori Japan
Zhan‐Da Fu relative to Felaniaina Rakotondradany Canada Felaniaina Rakotondradany's profile →
Citations per field
00.5×10×20×26×
Felaniaina Rakotondradany · 1×
Citations per year

Countries citing papers authored by Zhan‐Da Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhan‐Da Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhan‐Da 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 Zhan‐Da Fu Line = papers co-authored together Zhan‐Da Fu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Progress of Wnt Signaling Pathway in Osteoporosis
Hit paper breakdown →
2023109
2 201490
3 201262
4 201733
5 201630
6 201426
7 201126
8 201419
9 200918
10 202216
11 20199
12 20089
13 20188

About Zhan‐Da Fu

Zhan‐Da Fu is a scholar working on Organic Chemistry, Materials Chemistry, Mechanics of Materials, Spectroscopy and Aerospace Engineering, having authored 13 papers that have together received 455 indexed citations. Recurring topics across this work include Supramolecular Chemistry and Complexes (5 papers), Molecular Sensors and Ion Detection (4 papers), Luminescence and Fluorescent Materials (4 papers), Energetic Materials and Combustion (4 papers), Thermal and Kinetic Analysis (3 papers), Bone Metabolism and Diseases (2 papers), Bone health and treatments (2 papers) and Combustion and Detonation Processes (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (86 citations), Organic Chemistry (211 citations), Spectroscopy (114 citations), Mechanics of Materials (112 citations) and Materials Chemistry (191 citations). Zhan‐Da Fu has collaborated with scholars based in China. Frequent co-authors include Mei‐Xiang Wang, Qing‐Hui Guo, Liang Zhao, Yongguang Gao, Qing Zhang, Fu‐Xue Chen, Cheng He, Jun Chen, Yao Lü and Wei Zeng. Their work appears in journals such as Organic Letters, Propellants Explosives Pyrotechnics, Biochemical Pharmacology, Crystal Growth & Design and Journal of Materials Chemistry.

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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