Chun‐Yang Fan
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Cell Biology
- Pollution top 10%
- Cancer Research
- Co-authors
- Steven O. SimmonsRam RamabhadranStephanie PadillaJohn CowdenJohn WakefieldYoucun QianPrasada Rao S. KodavantiShengli Yang
- Topics
- Venomous Animal Envenomation and Studies (6 papers)Biochemical and Structural Characterization (3 papers)Ion channel regulation and function (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chun‐Yang Fan
17 papers receiving 575 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 247
- Health, Toxicology and Mutagenesis 240
- Cell Biology 80
- Pollution 77
- Cancer Research 72
Countries citing papers authored by Chun‐Yang Fan
This map shows the geographic impact of Chun‐Yang Fan'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 Chun‐Yang Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Yang Fan more than expected).
Fields of papers citing papers by Chun‐Yang Fan
This network shows the impact of papers produced by Chun‐Yang Fan. 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 Chun‐Yang Fan. The network helps show where Chun‐Yang Fan may publish in the future.
Co-authorship network of co-authors of Chun‐Yang Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Yang Fan. A scholar is included among the top collaborators of Chun‐Yang Fan 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 Chun‐Yang Fan. Chun‐Yang Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 101 | |
| 4 | 25 | |
| 5 | 220 | |
| 6 | 148 | |
| 7 | Molecular cloning and functional expression of α-bungarotoxin (V31) from Chinese continental banded krait. | 3 |
| 8 | 16 | |
| 9 | 4 | |
| 10 | Molecular Cloning and Expression of a New A Chain of beta-Bungarotoxin. | 1 |
| 11 | 10 | |
| 12 | Molecular Cloning and Expression of the cDNA for Disintegrin from Agkistrodon acutus. | 3 |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 18 | |
| 17 | Promutagenic lesions persist in the DNA of target cells for nitrosamine-induced carcinogenesis. | 5 |
About Chun‐Yang Fan
Chun‐Yang Fan is a scholar working on Genetics, Developmental Neuroscience and Cell Biology, having authored 17 papers that have together received 583 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (6 papers), Biochemical and Structural Characterization (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (240 citations), Pollution (77 citations) and Aging (9 citations). Chun‐Yang Fan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Steven O. Simmons, Ram Ramabhadran, Stephanie Padilla, John Cowden, John Wakefield, Youcun Qian, Prasada Rao S. Kodavanti, Shengli Yang, Yi Gong and Lynn Cawkwell. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicological Sciences and Aquatic Toxicology.
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.