Lei‐Yun Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 3
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- Cancer-related molecular mechanisms research 4
- Cancer Genomics and Diagnostics 2
- Co-authors
- Ji‐Ye Yin (12 shared papers)Jiajia Cui (7 shared papers)Ding‐Chao Rong (6 shared papers)Jie Mei (6 shared papers)Peng‐Yuan Wang (3 shared papers)Jun Zeng (3 shared papers)Qian Hu (1 shared paper)Hsuan-Shun Huang (1 shared paper)
- Journals
- Frontiers in Endocrinology (2 papers)Optics Express (1 paper)International Journal of Surgery (1 paper)Scientific Reports (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lei‐Yun Wang
29 papers receiving 496 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 69
- Immunology 75
- Oncology 91
- Neurology 25
- Molecular Biology 206
Countries citing papers authored by Lei‐Yun Wang
This map shows the geographic impact of Lei‐Yun Wang'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‐Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei‐Yun Wang more than expected).
Fields of papers citing papers by Lei‐Yun Wang
This network shows the impact of papers produced by Lei‐Yun Wang. 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‐Yun Wang. The network helps show where Lei‐Yun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei‐Yun Wang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | JAK/STAT pathway: Extracellular signals, diseases, immunity, and therapeutic regimens Hit paper breakdown → | 2023 | 174 |
| 2 | 2022 | 47 | |
| 3 | 2020 | 40 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 34 | |
| 6 | 2017 | 27 | |
| 7 | 2024 | 15 | |
| 8 | 2023 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2023 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2021 | 4 |
About Lei‐Yun Wang
Lei‐Yun Wang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 30 papers that have together received 501 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA Research and Splicing (3 papers), Ferroptosis and cancer prognosis (3 papers), Lipid metabolism and disorders (3 papers), Photonic and Optical Devices (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (69 citations), Immunology (75 citations), Oncology (91 citations), Neurology (25 citations) and Molecular Biology (206 citations). Lei‐Yun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ji‐Ye Yin, Jiajia Cui, Ding‐Chao Rong, Jie Mei, Peng‐Yuan Wang, Jun Zeng, Qian Hu, Hsuan-Shun Huang, Sai Wang and Hong‐Hao Zhou. Their work appears in journals such as Frontiers in Endocrinology, Optics Express, International Journal of Surgery, Scientific Reports and Medicine.
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.