De‐Ping Yang

731 citations
28 papers · 636 · h-index 17

Impact in

Papers in

De‐Ping Yang

27 papers receiving 623 citations

Peers

De‐Ping Yang
Comparison fields: 5 of 88
  • Pharmacology 215
  • Cellular and Molecular Neuroscience 174
  • Toxicology 25
  • Molecular Biology 262
  • Electronic, Optical and Magnetic Materials 62
Replace Ikuo Yamamoto with:
Ikuo Yamamoto Japan
R. Guglielmetti France
Richard Dahlbom Sweden
Ryukichi Takagi Japan
Etsuko Suzuki Japan
D. Frαckowiak Poland
Keisuke Kawashima Japan
Hong Zeng United States
Ying‐Chieh Sun Taiwan
Frank Lehmann Germany
De‐Ping Yang relative to Ikuo Yamamoto Japan Ikuo Yamamoto's profile →
Citations per field
00.5×5.0×
Ikuo Yamamoto · 1×
Citations per year

Countries citing papers authored by De‐Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by De‐Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De‐Ping Yang. 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 De‐Ping Yang. The network helps show where De‐Ping Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200775
2 200062
3 200559
4 199042
5 199242
6 199536
7 199736
8 198931
9
Mössbauer Effect in Lattice Dynamics: Experimental Techniques and Applications
200731
10 199026
11 199424
12 199120
13 199520
14 200320
15 199118
16 200318
17 199417
18 199314
19 201510
20 20109

About De‐Ping Yang

De‐Ping Yang is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Spectroscopy and Materials Chemistry, having authored 28 papers that have together received 636 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (11 papers), Lipid Membrane Structure and Behavior (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Advanced NMR Techniques and Applications (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Iron oxide chemistry and applications (2 papers), Analytical Chemistry and Chromatography (2 papers) and Solid-state spectroscopy and crystallography (2 papers). The work is most often cited by research in Pharmacology (215 citations), Cellular and Molecular Neuroscience (174 citations), Toxicology (25 citations), Molecular Biology (262 citations) and Electronic, Optical and Magnetic Materials (62 citations). De‐Ping Yang has collaborated with scholars based in United States, Greece and Mexico. Frequent co-authors include Alexandros Makriyannis, Thomas Mavromoustakos, Yilong Chen, Xiao Yu Tian, Kenneth E. Gonsalves, Zhixiong Guo, Joseph A. Akkara, Avgui Charalambous, Alexandros Makriyannis and Kebede Beshah. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Medicinal Chemistry, Life Sciences, Pharmacology Biochemistry and Behavior and Macromolecules.

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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