Yi Wei
Impact in
- Molecular Biology top 10%
- Muscle Physiology and Disorders
- Angiogenesis and VEGF in Cancer
- Single-cell and spatial transcriptomics
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Single-cell and spatial transcriptomics 4
- Angiogenesis and VEGF in Cancer 4
- RNA modifications and cancer 4
- Muscle Physiology and Disorders 3
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- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- George D. Yancopoulos (5 shared papers)Hsin Chieh Lin (5 shared papers)Jennifer Griffiths (2 shared papers)David J. Glass (2 shared papers)Francis J. Martin (1 shared paper)Esther Latres (1 shared paper)Ami R. Amini (1 shared paper)Ashley A. Amini (1 shared paper)
- Journals
- Scientific Reports (3 papers)Proceedings of the National Academy of Sciences (3 papers)Cancer Research (2 papers)Angiogenesis (2 papers)Acupuncture in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Yi Wei
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 968
- Cancer Research 183
- Neurology 104
- Cell Biology 189
- Immunology 230
Countries citing papers authored by Yi Wei
This map shows the geographic impact of Yi 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 Yi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Wei more than expected).
Fields of papers citing papers by Yi Wei
This network shows the impact of papers produced by Yi 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 Yi Wei. The network helps show where Yi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 428 | |
| 2 | 2004 | 270 | |
| 3 | 2018 | 148 | |
| 4 | 2011 | 127 | |
| 5 | 2014 | 85 | |
| 6 | 2011 | 79 | |
| 7 | 2021 | 78 | |
| 8 | 2010 | 77 | |
| 9 | 2002 | 51 | |
| 10 | 2021 | 43 | |
| 11 | 2020 | 43 | |
| 12 | 2012 | 33 | |
| 13 | 2023 | 29 | |
| 14 | 2012 | 29 | |
| 15 | 2020 | 27 | |
| 16 | 2023 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2021 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2024 | 14 |
About Yi Wei
Yi Wei is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Cell Biology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Angiogenesis and VEGF in Cancer (4 papers), RNA modifications and cancer (4 papers), Immune cells in cancer (3 papers), Muscle Physiology and Disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Molecular Biology (968 citations), Cancer Research (183 citations), Neurology (104 citations), Cell Biology (189 citations) and Immunology (230 citations). Yi Wei has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include George D. Yancopoulos, Hsin Chieh Lin, Jennifer Griffiths, David J. Glass, Francis J. Martin, Esther Latres, Ami R. Amini, Ashley A. Amini, Min Ni and Christopher Daly. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Cancer Research, Angiogenesis and Acupuncture in 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.