Wei Liang
Impact in
- Immunology top 1%
- Geophysics top 2%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
Papers in
-
- RNA Interference and Gene Delivery 17
- Oncology 41
- Cancer Immunotherapy and Biomarkers 10
- Co-authors
- Napoleone Ferrara (5 shared papers)Joseph White (2 shared papers)Alexander I. Saeed (2 shared papers)John Quackenbush (2 shared papers)Nirmal Bhagabati (1 shared paper)Jianwei Li (1 shared paper)John Braisted (1 shared paper)Eleanor Howe (1 shared paper)
- Journals
- PLoS ONE (6 papers)Cell Cycle (6 papers)Ore Geology Reviews (6 papers)Cancer Research (4 papers)Pharmaceutical Research (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wei Liang
195 papers receiving 9.5k citations
Wei Liang's Hit Papers
Peers
Comparison fields: 5 of 165
- Immunology 1.6k
- Geophysics 953
- Molecular Biology 4.5k
- Cancer Research 900
- Biomaterials 774
Countries citing papers authored by Wei Liang
This map shows the geographic impact of Wei Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Liang more than expected).
Fields of papers citing papers by Wei Liang
This network shows the impact of papers produced by Wei Liang. 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 Liang. The network helps show where Wei Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Liang, 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | [9] TM4 Microarray Software Suite Hit paper breakdown → | 2006 | 1702 |
| 2 | Facilitating T Cell Infiltration in Tumor Microenvironment Overcomes Resistance to PD-L1 Blockade Hit paper breakdown → | 2016 | 382 |
| 3 | 2016 | 280 | |
| 4 | 2002 | 270 | |
| 5 | 2008 | 247 | |
| 6 | 2018 | 209 | |
| 7 | 2007 | 209 | |
| 8 | 2012 | 198 | |
| 9 | 2016 | 175 | |
| 10 | 2006 | 170 | |
| 11 | 2018 | 152 | |
| 12 | 2008 | 132 | |
| 13 | 2020 | 131 | |
| 14 | 2009 | 112 | |
| 15 | 2017 | 108 | |
| 16 | 2013 | 108 | |
| 17 | 2016 | 106 | |
| 18 | 2012 | 102 | |
| 19 | 2010 | 96 | |
| 20 | 2011 | 93 |
About Wei Liang
Wei Liang is a scholar working on Molecular Biology, Oncology, Immunology, Geophysics and Biomedical Engineering, having authored 202 papers that have together received 9.6k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (27 papers), earthquake and tectonic studies (22 papers), High-pressure geophysics and materials (19 papers), RNA Interference and Gene Delivery (17 papers), Nanoparticle-Based Drug Delivery (11 papers), Immunotherapy and Immune Responses (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Microtubule and mitosis dynamics (10 papers). The work is most often cited by research in Immunology (1.6k citations), Geophysics (953 citations), Molecular Biology (4.5k citations), Cancer Research (900 citations) and Biomaterials (774 citations). Wei Liang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Napoleone Ferrara, Joseph White, Alexander I. Saeed, John Quackenbush, Nirmal Bhagabati, Jianwei Li, John Braisted, Eleanor Howe, Mathangi Thiagarajan and Fayun Zhang. Their work appears in journals such as PLoS ONE, Cell Cycle, Ore Geology Reviews, Cancer Research and Pharmaceutical 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.