Ke Wei
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Nuclear Receptors and Signaling
Papers in
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- Congenital heart defects research 9
- Extracellular vesicles in disease 4
- Pluripotent Stem Cells Research 4
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
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- MicroRNA in disease regulation 8
- Co-authors
- Pilar Ruiz‐Lozano (8 shared papers)Mark Mercola (6 shared papers)Scott Metzler (3 shared papers)Mingming Zhao (3 shared papers)Andrey V. Malkovskiy (3 shared papers)Morteza Mahmoudi (3 shared papers)Daniel Bernstein (3 shared papers)Vahid Serpooshan (3 shared papers)
- Journals
- Nature Communications (2 papers)Cardiovascular Research (2 papers)International Immunopharmacology (2 papers)Cell Regeneration (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ke Wei
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Biomaterials 182
- Cellular and Molecular Neuroscience 205
- Pharmacology 168
- Cancer Research 149
- Molecular Biology 601
Countries citing papers authored by Ke Wei
This map shows the geographic impact of Ke 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 Ke Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Wei more than expected).
Fields of papers citing papers by Ke Wei
This network shows the impact of papers produced by Ke 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 Ke Wei. The network helps show where Ke Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 199 | |
| 2 | 2013 | 164 | |
| 3 | 2010 | 76 | |
| 4 | 2023 | 73 | |
| 5 | 2018 | 71 | |
| 6 | 2015 | 62 | |
| 7 | 2021 | 49 | |
| 8 | 2017 | 43 | |
| 9 | 2013 | 40 | |
| 10 | 2021 | 37 | |
| 11 | 2023 | 34 | |
| 12 | 2011 | 33 | |
| 13 | 2012 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2020 | 27 | |
| 16 | 2023 | 26 | |
| 17 | 2022 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 2012 | 22 | |
| 20 | 2022 | 19 |
About Ke Wei
Ke Wei is a scholar working on Molecular Biology, Cancer Research, Surgery, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Congenital heart defects research (9 papers), MicroRNA in disease regulation (8 papers), Tissue Engineering and Regenerative Medicine (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Extracellular vesicles in disease (4 papers), Pluripotent Stem Cells Research (4 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Biomaterials (182 citations), Cellular and Molecular Neuroscience (205 citations), Pharmacology (168 citations), Cancer Research (149 citations) and Molecular Biology (601 citations). Ke Wei has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Pilar Ruiz‐Lozano, Mark Mercola, Scott Metzler, Mingming Zhao, Andrey V. Malkovskiy, Morteza Mahmoudi, Daniel Bernstein, Vahid Serpooshan, Jayakumar Rajadas and Andrew Wang. Their work appears in journals such as Nature Communications, Cardiovascular Research, International Immunopharmacology, Cell Regeneration and Biochemical and Biophysical Research Communications.
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.