Die Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
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- RNA Interference and Gene Delivery 5
- Inflammasome and immune disorders 5
- RNA regulation and disease 4
- RNA and protein synthesis mechanisms 4
- Epigenetics and DNA Methylation 3
-
- interferon and immune responses 5
- Co-authors
- Mark A. Behlke (3 shared papers)Bryan R.G. Williams (8 shared papers)Dakang Xu (7 shared papers)Bryan Williams (7 shared papers)Michael P. Gantier (2 shared papers)Claire E. McCoy (2 shared papers)Aaron T. Irving (5 shared papers)João T. Marques (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)EMBO Reports (2 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)Cell Research (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Die Wang
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 441
- Immunology 419
- Molecular Biology 978
- Biological Psychiatry 23
- Pathology and Forensic Medicine 99
Countries citing papers authored by Die Wang
This map shows the geographic impact of Die 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 Die Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Die Wang more than expected).
Fields of papers citing papers by Die Wang
This network shows the impact of papers produced by Die 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 Die Wang. The network helps show where Die Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Die 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 315 | |
| 2 | 2006 | 300 | |
| 3 | 2012 | 153 | |
| 4 | 2012 | 110 | |
| 5 | 2021 | 100 | |
| 6 | 2006 | 66 | |
| 7 | 2012 | 65 | |
| 8 | 2015 | 64 | |
| 9 | 2017 | 62 | |
| 10 | 2012 | 37 | |
| 11 | 2013 | 36 | |
| 12 | 2016 | 33 | |
| 13 | 2007 | 26 | |
| 14 | 2015 | 25 | |
| 15 | 2013 | 25 | |
| 16 | 2024 | 24 | |
| 17 | 2013 | 22 | |
| 18 | 2006 | 19 | |
| 19 | 1996 | 18 | |
| 20 | 2015 | 18 |
About Die Wang
Die Wang is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Cell Biology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), interferon and immune responses (5 papers), Inflammasome and immune disorders (5 papers), RNA regulation and disease (4 papers), RNA and protein synthesis mechanisms (4 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Cancer Research (441 citations), Immunology (419 citations), Molecular Biology (978 citations), Biological Psychiatry (23 citations) and Pathology and Forensic Medicine (99 citations). Die Wang has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Mark A. Behlke, Bryan R.G. Williams, Dakang Xu, Bryan Williams, Michael P. Gantier, Claire E. McCoy, Aaron T. Irving, João T. Marques, Takashi Fujita and Maryam Zamanian-Daryoush. Their work appears in journals such as Nucleic Acids Research, EMBO Reports, Frontiers in Immunology, Nature Communications and Cell Research.
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.