Lei Yang
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Machine Learning in Bioinformatics 22
- RNA and protein synthesis mechanisms 12
- Bioinformatics and Genomic Networks 12
- Genomics and Phylogenetic Studies 8
-
- Cancer-related molecular mechanisms research 14
- Co-authors
- Yongchun Zuo (45 shared papers)Shiyuan Wang (20 shared papers)Dongfang Ma (7 shared papers)Guangpeng Li (4 shared papers)Junliang Yin (6 shared papers)Qi Zhang (3 shared papers)Meng Zhou (5 shared papers)Yingli Lv (15 shared papers)
- Journals
- Scientific Reports (6 papers)Briefings in Bioinformatics (6 papers)Genomics (5 papers)PLoS ONE (5 papers)Journal of Theoretical Biology (3 papers)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Lei Yang
119 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 144
- Biological Psychiatry 271
- Cancer Research 589
- Behavioral Neuroscience 112
- Molecular Biology 1.8k
- Plant Science 461
Countries citing papers authored by Lei Yang
This map shows the geographic impact of Lei 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 Lei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Yang more than expected).
Fields of papers citing papers by Lei Yang
This network shows the impact of papers produced by Lei 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 Lei Yang. The network helps show where Lei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 178 | |
| 2 | 2015 | 159 | |
| 3 | 2016 | 126 | |
| 4 | 2020 | 108 | |
| 5 | 2019 | 93 | |
| 6 | 2019 | 89 | |
| 7 | 2019 | 85 | |
| 8 | 2020 | 85 | |
| 9 | 2016 | 81 | |
| 10 | 2014 | 78 | |
| 11 | 2014 | 78 | |
| 12 | 2021 | 77 | |
| 13 | 2015 | 74 | |
| 14 | 2018 | 70 | |
| 15 | 2019 | 65 | |
| 16 | 2015 | 54 | |
| 17 | 2012 | 53 | |
| 18 | 2018 | 46 | |
| 19 | 2020 | 45 | |
| 20 | High expression of GPER1, EGFR and CXCR1 is associated with lymph node metastasis in papillary thyroid carcinoma. | 2014 | 41 |
About Lei Yang
Lei Yang is a scholar working on Molecular Biology, Cancer Research, Plant Science, Pulmonary and Respiratory Medicine and Oncology, having authored 132 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (22 papers), Cancer-related molecular mechanisms research (14 papers), RNA and protein synthesis mechanisms (12 papers), Bioinformatics and Genomic Networks (12 papers), Ferroptosis and cancer prognosis (11 papers), Computational Drug Discovery Methods (9 papers), Plant Molecular Biology Research (8 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Biological Psychiatry (271 citations), Cancer Research (589 citations), Behavioral Neuroscience (112 citations), Molecular Biology (1.8k citations) and Plant Science (461 citations). Lei Yang has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Yongchun Zuo, Shiyuan Wang, Dongfang Ma, Guangpeng Li, Junliang Yin, Qi Zhang, Meng Zhou, Yingli Lv, Hengqiang Zhao and Jie Sun. Their work appears in journals such as Scientific Reports, Briefings in Bioinformatics, Genomics, PLoS ONE and Journal of Theoretical Biology.
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.