Tingyi Wei
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
Papers in
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- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
- Renal and related cancers 2
- Angiogenesis and VEGF in Cancer 1
- Muscle Physiology and Disorders 1
- Genetics 2
- Co-authors
- Guiying Wang (5 shared papers)Jiuhong Kang (5 shared papers)Songcheng Zhu (3 shared papers)Ye Leng (2 shared papers)Long Chen (1 shared paper)Yan Li (1 shared paper)Jie Chen (1 shared paper)Qianqian Wang (1 shared paper)
- Journals
- Molecular Biology of the Cell (1 paper)Journal of Biological Chemistry (1 paper)Stem Cells (1 paper)Stem Cells and Development (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Tingyi Wei
8 papers receiving 343 citations
Peers
Comparison fields: 5 of 51
- Cancer Research 94
- Molecular Biology 269
- Geriatrics and Gerontology 9
- Aging 4
- Oncology 56
Countries citing papers authored by Tingyi Wei
This map shows the geographic impact of Tingyi Wei'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 Tingyi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingyi Wei more than expected).
Fields of papers citing papers by Tingyi Wei
This network shows the impact of papers produced by Tingyi Wei. 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 Tingyi Wei. The network helps show where Tingyi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingyi Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 141 | |
| 2 | 2013 | 116 | |
| 3 | 2023 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2014 | 16 | |
| 6 | 2016 | 13 | |
| 7 | 2014 | 10 | |
| 8 | 2020 | 9 |
About Tingyi Wei
Tingyi Wei is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Epidemiology, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Renal and related cancers (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Muscle Physiology and Disorders (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (94 citations), Molecular Biology (269 citations), Geriatrics and Gerontology (9 citations), Aging (4 citations) and Oncology (56 citations). Tingyi Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guiying Wang, Jiuhong Kang, Songcheng Zhu, Ye Leng, Long Chen, Yan Li, Jie Chen, Qianqian Wang, Anmei Deng and Qidong Liu. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Stem Cells, Stem Cells and Development 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.