Liang‐Chuan S. Wang
- Oncology top 1%
- Immunology top 2%
- Molecular Biology
- Biomedical Engineering top 10%
- Genetics top 5%
- Co-authors
- Steven Μ. AlbeldaVeena KapoorCarl H. JuneEdmund K. MoonAlbert LoJing SunEllen PuréAmy C. Durham
- Topics
- Immunotherapy and Immune Responses (6 papers)Immune Cell Function and Interaction (5 papers)CAR-T cell therapy research (4 papers)
- Cited by
- OncologyImmunologyGenetics
- Partner nations
- United StatesNew ZealandGermany
In The Last Decade
Liang‐Chuan S. Wang
21 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Oncology 1.7k
- Immunology 949
- Molecular Biology 637
- Biomedical Engineering 406
- Genetics 393
Countries citing papers authored by Liang‐Chuan S. Wang
This map shows the geographic impact of Liang‐Chuan S. 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‐Chuan S. 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‐Chuan S. Wang more than expected).
Fields of papers citing papers by Liang‐Chuan S. Wang
This network shows the impact of papers produced by Liang‐Chuan S. 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‐Chuan S. Wang. The network helps show where Liang‐Chuan S. Wang may publish in the future.
Co-authorship network of co-authors of Liang‐Chuan S. Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Chuan S. Wang. A scholar is included among the top collaborators of Liang‐Chuan S. 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‐Chuan S. Wang. Liang‐Chuan S. 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 | 140 | |
| 2 | 32 | |
| 3 | Tumor-Promoting Desmoplasia Is Disrupted by Depleting FAP-Expressing Stromal Cellsbreakdown → | 407 |
| 4 | 62 | |
| 5 | 2 | |
| 6 | 106 | |
| 7 | Targeting Fibroblast Activation Protein in Tumor Stroma with Chimeric Antigen Receptor T Cells Can Inhibit Tumor Growth and Augment Host Immunity without Severe Toxicitybreakdown → | 515 |
| 8 | Expression of a Functional CCR2 Receptor Enhances Tumor Localization and Tumor Eradication by Retargeted Human T cells Expressing a Mesothelin-Specific Chimeric Antibody Receptorbreakdown → | 447 |
| 9 | 14 | |
| 10 | 40 | |
| 11 | 124 | |
| 12 | 9 | |
| 13 | 17 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | 151 | |
| 17 | 19 | |
| 18 | 12 | |
| 19 | 10 | |
| 20 | 20 |
About Liang‐Chuan S. Wang
Liang‐Chuan S. Wang is a scholar working on Immunology, Oncology and Virology, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Oncology (1.7k citations), Immunology (949 citations) and Genetics (393 citations). Liang‐Chuan S. Wang has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Steven Μ. Albelda, Veena Kapoor, Carl H. June, Edmund K. Moon, Albert Lo, Jing Sun, Ellen Puré, Amy C. Durham, John Scholler and Carmine Carpenito. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Clinical Cancer 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.