Ke Yang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- RNA modifications and cancer
- Congenital heart defects research
Papers in
-
- Congenital heart defects research 7
- Angiogenesis and VEGF in Cancer 5
- Receptor Mechanisms and Signaling 4
- RNA modifications and cancer 4
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Co-authors
- Zhiyong Gao (8 shared papers)Gavril W. Pasternak (4 shared papers)George P. Brown (3 shared papers)Liza Leventhal (2 shared papers)Grace C. Rossi (2 shared papers)Wei Xiao (5 shared papers)Aaron Proweller (4 shared papers)Jiansong Wang (1 shared paper)
- Journals
- PLANT PHYSIOLOGY (2 papers)International Journal of Biological Macromolecules (2 papers)Journal of Biological Chemistry (2 papers)Archives of Microbiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Ke Yang
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 266
- Molecular Biology 823
- Cellular and Molecular Neuroscience 206
- Physiology 159
- Oncology 156
Countries citing papers authored by Ke Yang
This map shows the geographic impact of Ke 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 Ke Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Yang more than expected).
Fields of papers citing papers by Ke Yang
This network shows the impact of papers produced by Ke 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 Ke Yang. The network helps show where Ke Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 | 1996 | 138 | |
| 2 | 2017 | 125 | |
| 3 | 2018 | 94 | |
| 4 | 1997 | 71 | |
| 5 | 2018 | 60 | |
| 6 | 2021 | 45 | |
| 7 | 2022 | 44 | |
| 8 | 2022 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2011 | 34 | |
| 11 | 2008 | 33 | |
| 12 | 2009 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2013 | 31 | |
| 15 | 1999 | 30 | |
| 16 | 2021 | 28 | |
| 17 | 2012 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 2020 | 26 | |
| 20 | 2015 | 23 |
About Ke Yang
Ke Yang is a scholar working on Molecular Biology, Cancer Research, Plant Science, Oncology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital heart defects research (7 papers), Cancer-related molecular mechanisms research (6 papers), Angiogenesis and VEGF in Cancer (5 papers), Receptor Mechanisms and Signaling (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (4 papers), Neuropeptides and Animal Physiology (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Cancer Research (266 citations), Molecular Biology (823 citations), Cellular and Molecular Neuroscience (206 citations), Physiology (159 citations) and Oncology (156 citations). Ke Yang has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Zhiyong Gao, Gavril W. Pasternak, George P. Brown, Liza Leventhal, Grace C. Rossi, Wei Xiao, Aaron Proweller, Jiansong Wang, Wei Song and Michiko Watanabe. Their work appears in journals such as PLANT PHYSIOLOGY, International Journal of Biological Macromolecules, Journal of Biological Chemistry, Archives of Microbiology and Proceedings of the National Academy of 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.