Liang Wang
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Co-authors
- Hedvig HricakFuqing ZengJingbo ZhangMiao WangGuosong JiangPeter T. ScardinoMichael MulleradGang Luo
- Topics
- Protein Hydrolysis and Bioactive Peptides (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Prostate Cancer Diagnosis and Treatment (9 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Liang Wang
118 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 626
- Cancer Research 521
- Radiology, Nuclear Medicine and Imaging 267
- Oncology 245
Countries citing papers authored by Liang Wang
This map shows the geographic impact of Liang 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 Liang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Wang more than expected).
Fields of papers citing papers by Liang Wang
This network shows the impact of papers produced by Liang 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 Liang Wang. The network helps show where Liang Wang may publish in the future.
Co-authorship network of co-authors of Liang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Wang. A scholar is included among the top collaborators of Liang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Wang. Liang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 25 | |
| 11 | 14 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 149 | |
| 20 | Fibrinogen-like protein 2 Gene silencing activates angiopoietin/Tie system and induces Myocardial Microvascular Endothelial Cells proliferation and cell migration | 3 |
About Liang Wang
Liang Wang is a scholar working on Neurology, Cancer Research and Developmental Neuroscience, having authored 129 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). The work is most often cited by research in Cancer Research (521 citations), Pulmonary and Respiratory Medicine (626 citations) and Molecular Biology (1.1k citations). Liang Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Hedvig Hricak, Fuqing Zeng, Jingbo Zhang, Miao Wang, Guosong Jiang, Peter T. Scardino, Michael Mullerad, Gang Luo, Michael W. Kattan and Steven C. Eberhardt. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Clinical Oncology.
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.