De‐Ping Yang
- Molecular Biology
- Pharmacology top 5%
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Co-authors
- Alexandros MakriyannisThomas MavromoustakosYilong ChenXiao Yu TianKenneth E. GonsalvesZhixiong GuoJoseph A. AkkaraAvgui Charalambous
- Topics
- Cannabis and Cannabinoid Research (11 papers)Neuroscience and Neuropharmacology Research (10 papers)Lipid Membrane Structure and Behavior (10 papers)
- Partner nations
- United StatesGreeceMexico
In The Last Decade
De‐Ping Yang
27 papers receiving 623 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 262
- Pharmacology 215
- Cellular and Molecular Neuroscience 174
- Materials Chemistry 93
- Electronic, Optical and Magnetic Materials 62
Countries citing papers authored by De‐Ping Yang
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
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-authorship network of co-authors of De‐Ping Yang
This figure shows the co-authorship network connecting the top 25 collaborators of De‐Ping Yang. A scholar is included among the top collaborators of De‐Ping Yang 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 De‐Ping Yang. De‐Ping Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | Mesozoic lithospheric mantle of the Central North China craton: Evidence from peridotite xenoliths | 2 |
| 5 | 2 | |
| 6 | Mössbauer Effect in Lattice Dynamics: Experimental Techniques and Applications | 31 |
| 7 | 59 | |
| 8 | 20 | |
| 9 | 2 | |
| 10 | 36 | |
| 11 | 36 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 17 | |
| 15 | 14 | |
| 16 | 42 | |
| 17 | 18 | |
| 18 | 42 | |
| 19 | 26 | |
| 20 | 31 |
About De‐Ping Yang
De‐Ping Yang is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Biophysics, having authored 28 papers that have together received 636 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Lipid Membrane Structure and Behavior (10 papers). The work is most often cited by research in Pharmacology (215 citations), Cellular and Molecular Neuroscience (174 citations) and Toxicology (25 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 Journal of Biological Chemistry, Journal of Applied Physics 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.