Wei Mo
Impact in
- Biological Psychiatry top 5%
- Oncology top 5%
- PARP inhibition in cancer therapy
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 18
- Drug Transport and Resistance Mechanisms 6
- Immunology 15
- interferon and immune responses 7
- Co-authors
- Jian‐Ting Zhang (6 shared papers)Zhi Li (1 shared paper)Heng Li (1 shared paper)Frede Blaabjerg (5 shared papers)Poh Chiang Loh (5 shared papers)Daniel Fredric Hoft (3 shared papers)Eddy C. Hsueh (3 shared papers)Guangyong Peng (3 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Cell Reports (4 papers)Nature Communications (4 papers)Neuron (4 papers)Journal of Dermatological Science (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Wei Mo
122 papers receiving 3.9k citations
Wei Mo's Hit Papers
Peers
Comparison fields: 5 of 163
- Biological Psychiatry 121
- Oncology 792
- Immunology 615
- Developmental Neuroscience 100
- Cancer Research 351
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 134 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 | 256 |
| 2 | 2020 | 247 | |
| 3 | 2018 | 210 | |
| 4 | Human ABCG2: structure, function, and its role in multidrug resistance. | 2012 | 197 |
| 5 | 2014 | 188 | |
| 6 | 2018 | 188 | |
| 7 | 2019 | 161 | |
| 8 | 2014 | 142 | |
| 9 | 2022 | 138 | |
| 10 | 2013 | 135 | |
| 11 | 2008 | 134 | |
| 12 | 2022 | 118 | |
| 13 | 2015 | 98 | |
| 14 | 2013 | 91 | |
| 15 | 2013 | 89 | |
| 16 | 2019 | 69 | |
| 17 | 2020 | 59 | |
| 18 | 2022 | 52 | |
| 19 | 2004 | 51 | |
| 20 | 2012 | 51 |
About Wei Mo
Wei Mo is a scholar working on Oncology, Immunology, Molecular Biology, Electrical and Electronic Engineering and Physiology, having authored 134 papers that have together received 3.9k indexed citations. Recurring topics across this work include interferon and immune responses (7 papers), Metamaterials and Metasurfaces Applications (6 papers), RNA Research and Splicing (6 papers), Drug Transport and Resistance Mechanisms (6 papers), CRISPR and Genetic Engineering (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 Biological Psychiatry (121 citations), Oncology (792 citations), Immunology (615 citations), Developmental Neuroscience (100 citations) and Cancer Research (351 citations). Wei Mo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jian‐Ting Zhang, Zhi Li, Heng Li, Frede Blaabjerg, Poh Chiang Loh, Daniel Fredric Hoft, Eddy C. Hsueh, Guangyong Peng, Yanping Zhang and Hui Dai. Their work appears in journals such as Frontiers in Immunology, Cell Reports, Nature Communications, Neuron and Journal of Dermatological Science.
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.