Sen Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
Papers in
-
- Machine Learning in Bioinformatics 12
- RNA modifications and cancer 10
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 8
- RNA Research and Splicing 7
- Chemical Synthesis and Analysis 6
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- Cancer-related molecular mechanisms research 15
- Co-authors
- Qiming Wang (7 shared papers)Hongle Li (2 shared papers)Yang Liu (1 shared paper)Xuan Wu (1 shared paper)Jing Han (1 shared paper)Weiping Zhou (4 shared papers)Shengxian Yuan (4 shared papers)Shuhan Sun (4 shared papers)
- Journals
- Frontiers in Genetics (4 papers)Molecular Cancer (2 papers)Scientific Reports (2 papers)International Journal of Biological Macromolecules (2 papers)Molecules (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Sen Yang
73 papers receiving 1.4k citations
Sen Yang's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 624
- Molecular Biology 952
- Oncology 209
- Pulmonary and Respiratory Medicine 161
- Microbiology 26
Countries citing papers authored by Sen Yang
This map shows the geographic impact of Sen 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 Sen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Yang more than expected).
Fields of papers citing papers by Sen Yang
This network shows the impact of papers produced by Sen 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 Sen Yang. The network helps show where Sen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 333 | |
| 2 | MEK inhibitors for the treatment of non-small cell lung cancer Hit paper breakdown → | 2021 | 218 |
| 3 | 2015 | 65 | |
| 4 | 2020 | 57 | |
| 5 | 2018 | 52 | |
| 6 | 2021 | 42 | |
| 7 | 2022 | 41 | |
| 8 | 2014 | 34 | |
| 9 | 2019 | 34 | |
| 10 | 2019 | 31 | |
| 11 | 2017 | 30 | |
| 12 | 2015 | 27 | |
| 13 | 2017 | 24 | |
| 14 | 2013 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2016 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2015 | 20 | |
| 20 | 2013 | 20 |
About Sen Yang
Sen Yang is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Immunology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), Machine Learning in Bioinformatics (12 papers), RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (8 papers), RNA Research and Splicing (7 papers), Chemical Synthesis and Analysis (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Cancer Research (624 citations), Molecular Biology (952 citations), Oncology (209 citations), Pulmonary and Respiratory Medicine (161 citations) and Microbiology (26 citations). Sen Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qiming Wang, Hongle Li, Yang Liu, Xuan Wu, Jing Han, Weiping Zhou, Shengxian Yuan, Shuhan Sun, Qi-fei Tao and Yuan Yang. Their work appears in journals such as Frontiers in Genetics, Molecular Cancer, Scientific Reports, International Journal of Biological Macromolecules and Molecules.
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.