Chen-Chung Yang
Impact in
- Genetics top 2%
- Venomous Animal Envenomation and Studies
- Pharmacology top 2%
- Healthcare and Venom Research
Papers in
- Genetics 40
- Venomous Animal Envenomation and Studies 39
- Pharmacology 24
- Healthcare and Venom Research 23
- Co-authors
- Philip Rosenberg (22 shared papers)Eleonora Condrea (18 shared papers)Bruce E. Rapuano (10 shared papers)Jeffrey E. Fletcher (8 shared papers)Long‐Sen Chang (10 shared papers)Peggy L. Barrington (3 shared papers)Annahita Ghassemi (1 shared paper)Michael T. Ryan (1 shared paper)
- Journals
- Toxicon (15 papers)The Journal of Biochemistry (5 papers)Biochemical Pharmacology (4 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (3 papers)Life Sciences (3 papers)
- Partner nations
- TaiwanUnited StatesIsrael
In The Last Decade
Chen-Chung Yang
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 75
- Genetics 1000
- Pharmacology 460
- Paleontology 113
- Molecular Biology 902
- Virology 59
Countries citing papers authored by Chen-Chung Yang
This map shows the geographic impact of Chen-Chung 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 Chen-Chung Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Chung Yang more than expected).
Fields of papers citing papers by Chen-Chung Yang
This network shows the impact of papers produced by Chen-Chung 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 Chen-Chung Yang. The network helps show where Chen-Chung Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen-Chung Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1965 | 97 | |
| 2 | 1981 | 96 | |
| 3 | 1981 | 80 | |
| 4 | 1981 | 75 | |
| 5 | 1980 | 63 | |
| 6 | 1989 | 60 | |
| 7 | 1981 | 59 | |
| 8 | 1983 | 51 | |
| 9 | 1983 | 50 | |
| 10 | 1980 | 48 | |
| 11 | 1983 | 47 | |
| 12 | 1982 | 35 | |
| 13 | 2002 | 31 | |
| 14 | 1984 | 27 | |
| 15 | 1977 | 27 | |
| 16 | 1986 | 26 | |
| 17 | 1982 | 23 | |
| 18 | 1967 | 20 | |
| 19 | 1983 | 19 | |
| 20 | 1981 | 18 |
About Chen-Chung Yang
Chen-Chung Yang is a scholar working on Genetics, Pharmacology, Molecular Biology, Cell Biology and Insect Science, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (39 papers), Healthcare and Venom Research (23 papers), Ion channel regulation and function (22 papers), Lipid Membrane Structure and Behavior (4 papers), Insect and Pesticide Research (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Genomics and Phylogenetic Studies (3 papers) and Hemoglobin structure and function (3 papers). The work is most often cited by research in Genetics (1000 citations), Pharmacology (460 citations), Paleontology (113 citations), Molecular Biology (902 citations) and Virology (59 citations). Chen-Chung Yang has collaborated with scholars based in Taiwan, United States and Israel. Frequent co-authors include Philip Rosenberg, Eleonora Condrea, Bruce E. Rapuano, Jeffrey E. Fletcher, Long‐Sen Chang, Peggy L. Barrington, Annahita Ghassemi, Michael T. Ryan, Bin‐Nan Wu and Jau‐Cheng Liou. Their work appears in journals such as Toxicon, The Journal of Biochemistry, Biochemical Pharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Life Sciences.
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.