Ming Wei
Impact in
- Biotechnology top 2%
- Cancer Research and Treatments
- Pharmacology top 1%
Papers in
-
- RNA Interference and Gene Delivery 12
- Immunology 30
- Immunotherapy and Immune Responses 16
- Immune Response and Inflammation 8
- Toxin Mechanisms and Immunotoxins 6
- Co-authors
- David A. Good (17 shared papers)Wei Duan (13 shared papers)Sarah Shigdar (8 shared papers)K.A.O. Ellem (8 shared papers)Saeed M. Hashimi (13 shared papers)Jia Lin (5 shared papers)Harendra S. Parekh (3 shared papers)Pat Metharom (7 shared papers)
- Journals
- PLoS ONE (5 papers)The Journal of Gene Medicine (3 papers)BioMed Research International (3 papers)Oncology Reports (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ming Wei
114 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 148
- Biotechnology 317
- Pharmacology 304
- Cancer Research 374
- Molecular Biology 1.7k
- Immunology 455
Countries citing papers authored by Ming Wei
This map shows the geographic impact of Ming 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 Ming Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wei more than expected).
Fields of papers citing papers by Ming Wei
This network shows the impact of papers produced by Ming 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 Ming Wei. The network helps show where Ming Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 336 | |
| 2 | 2011 | 211 | |
| 3 | 2019 | 181 | |
| 4 | 2007 | 123 | |
| 5 | 2009 | 114 | |
| 6 | 2013 | 111 | |
| 7 | 2009 | 111 | |
| 8 | 2013 | 104 | |
| 9 | 2014 | 103 | |
| 10 | 2020 | 103 | |
| 11 | 2006 | 93 | |
| 12 | 2015 | 90 | |
| 13 | 2010 | 73 | |
| 14 | 2014 | 71 | |
| 15 | 2001 | 65 | |
| 16 | 2012 | 62 | |
| 17 | 2014 | 61 | |
| 18 | 2015 | 59 | |
| 19 | 2018 | 57 | |
| 20 | 2009 | 55 |
About Ming Wei
Ming Wei is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Cancer Research, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Immunotherapy and Immune Responses (16 papers), RNA Interference and Gene Delivery (12 papers), Cancer Research and Treatments (12 papers), Immune Response and Inflammation (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), Pain Mechanisms and Treatments (6 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Biotechnology (317 citations), Pharmacology (304 citations), Cancer Research (374 citations), Molecular Biology (1.7k citations) and Immunology (455 citations). Ming Wei has collaborated with scholars based in Australia, China and United States. Frequent co-authors include David A. Good, Wei Duan, Sarah Shigdar, K.A.O. Ellem, Saeed M. Hashimi, Jia Lin, Harendra S. Parekh, Pat Metharom, Jozef Anné and Gang Liu. Their work appears in journals such as PLoS ONE, The Journal of Gene Medicine, BioMed Research International, Oncology Reports and International Journal of Molecular 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.