Dawei Wang
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 5
- Epidemiology 18
- Herpesvirus Infections and Treatments 4
- Autophagy in Disease and Therapy 4
- Co-authors
- Yuan Shao (7 shared papers)Guo‐Liang Lu (6 shared papers)Yujia Cai (3 shared papers)Søren R. Paludan (2 shared papers)Sikai Ling (2 shared papers)Di Yin (2 shared papers)Yao Dai (2 shared papers)Jiaxu Hong (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)Medicine (3 papers)Urolithiasis (3 papers)Frontiers in Pharmacology (3 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dawei Wang
93 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 701
- Cancer Research 140
- Parasitology 60
- Immunology 171
- Genetics 200
Countries citing papers authored by Dawei Wang
This map shows the geographic impact of Dawei Wang'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 Dawei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wang more than expected).
Fields of papers citing papers by Dawei Wang
This network shows the impact of papers produced by Dawei Wang. 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 Dawei Wang. The network helps show where Dawei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei Wang, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 142 | |
| 2 | 2021 | 128 | |
| 3 | 2020 | 63 | |
| 4 | 2019 | 62 | |
| 5 | 2018 | 61 | |
| 6 | 2020 | 50 | |
| 7 | 2019 | 37 | |
| 8 | 2016 | 37 | |
| 9 | 2011 | 31 | |
| 10 | 2023 | 26 | |
| 11 | 2015 | 26 | |
| 12 | 2009 | 26 | |
| 13 | 2015 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2012 | 23 | |
| 16 | 2019 | 22 | |
| 17 | 2005 | 22 | |
| 18 | 2018 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 19 |
About Dawei Wang
Dawei Wang is a scholar working on Molecular Biology, Epidemiology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 97 papers that have together received 1.4k indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (8 papers), Virus-based gene therapy research (7 papers), CAR-T cell therapy research (6 papers), CRISPR and Genetic Engineering (5 papers), Herpesvirus Infections and Treatments (4 papers), Autophagy in Disease and Therapy (4 papers), Immune cells in cancer (4 papers) and Pediatric Urology and Nephrology Studies (4 papers). The work is most often cited by research in Molecular Biology (701 citations), Cancer Research (140 citations), Parasitology (60 citations), Immunology (171 citations) and Genetics (200 citations). Dawei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuan Shao, Guo‐Liang Lu, Yujia Cai, Søren R. Paludan, Sikai Ling, Di Yin, Yao Dai, Jiaxu Hong, Da Xu and Xujiao Zhou. Their work appears in journals such as International Journal of Molecular Sciences, Medicine, Urolithiasis, Frontiers in Pharmacology and International Immunopharmacology.
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.