Wei Mo
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Drug Transport and Resistance Mechanisms
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- RNA Research and Splicing 6
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- Multilevel Inverters and Converters 5
- Terahertz technology and applications 5
- Advanced DC-DC Converters 5
- Co-authors
- Jian‐Ting Zhang (6 shared papers)Heng Li (1 shared paper)Zhi Li (1 shared paper)Poh Chiang Loh (5 shared papers)Frede Blaabjerg (5 shared papers)Daniel F. Hoft (3 shared papers)Guangyong Peng (3 shared papers)Eddy C. Hsueh (3 shared papers)
- Journals
- Cancer Research (4 papers)Frontiers in Immunology (4 papers)Cell Reports (4 papers)Nature Communications (3 papers)Molecular Cell (3 papers)
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Wei Mo
119 papers receiving 3.3k citations
Wei Mo's Hit Papers
Peers
Comparison fields: 5 of 163
- Oncology 731
- Immunology 582
- Cancer Research 323
- Developmental Neuroscience 86
- Molecular Biology 1.4k
Countries citing papers authored by Wei Mo
This map shows the geographic impact of Wei Mo'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 Wei Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Mo more than expected).
Fields of papers citing papers by Wei Mo
This network shows the impact of papers produced by Wei Mo. 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 Wei Mo. The network helps show where Wei Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Mo, 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 | A time varying filter approach for empirical mode decomposition Hit paper breakdown → | 2017 | 245 |
| 2 | 2020 | 226 | |
| 3 | Human ABCG2: structure, function, and its role in multidrug resistance. | 2012 | 195 |
| 4 | 2018 | 176 | |
| 5 | 2014 | 166 | |
| 6 | 2019 | 146 | |
| 7 | 2014 | 138 | |
| 8 | 2008 | 133 | |
| 9 | 2013 | 132 | |
| 10 | 2022 | 98 | |
| 11 | 2015 | 92 | |
| 12 | 2013 | 89 | |
| 13 | 2013 | 85 | |
| 14 | 2019 | 63 | |
| 15 | 2020 | 58 | |
| 16 | 2012 | 52 | |
| 17 | 2004 | 51 | |
| 18 | 2022 | 47 | |
| 19 | 2014 | 44 | |
| 20 | 2013 | 41 |
About Wei Mo
Wei Mo is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Oncology, Immunology and Control and Systems Engineering, having authored 132 papers that have together received 3.4k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), RNA Research and Splicing (6 papers), Metamaterials and Metasurfaces Applications (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Advanced Chemical Sensor Technologies (5 papers), Multilevel Inverters and Converters (5 papers), Terahertz technology and applications (5 papers) and Advanced DC-DC Converters (5 papers). The work is most often cited by research in Oncology (731 citations), Immunology (582 citations), Cancer Research (323 citations), Developmental Neuroscience (86 citations) and Molecular Biology (1.4k citations). Wei Mo has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Jian‐Ting Zhang, Heng Li, Zhi Li, Poh Chiang Loh, Frede Blaabjerg, Daniel F. Hoft, Guangyong Peng, Eddy C. Hsueh, Yanping Zhang and Hui Dai. Their work appears in journals such as Cancer Research, Frontiers in Immunology, Cell Reports, Nature Communications and Molecular Cell.
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.