Runchen Wang
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
Papers in
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- Lung Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 6
- Pleural and Pulmonary Diseases 4
- Tracheal and airway disorders 4
- Oncology 12
- Co-authors
- Jianxing He (29 shared papers)Wenhua Liang (26 shared papers)Yaokai Wen (15 shared papers)Hengrui Liang (25 shared papers)Fan Ge (15 shared papers)Caichen Li (12 shared papers)Zhenyu Huo (14 shared papers)Ran Zhong (11 shared papers)
- Journals
- Translational Lung Cancer Research (6 papers)Annals of Translational Medicine (5 papers)Journal of Physics D Applied Physics (3 papers)Nanoscale (2 papers)Nano Letters (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Runchen Wang
43 papers receiving 345 citations
Peers
Comparison fields: 5 of 93
- Transplantation 10
- Oncology 101
- Pulmonary and Respiratory Medicine 106
- Microbiology 2
- Anesthesiology and Pain Medicine 13
Countries citing papers authored by Runchen Wang
This map shows the geographic impact of Runchen 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 Runchen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runchen Wang more than expected).
Fields of papers citing papers by Runchen Wang
This network shows the impact of papers produced by Runchen 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 Runchen Wang. The network helps show where Runchen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runchen 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2021 | 25 | |
| 3 | 2021 | 21 | |
| 4 | 2024 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2024 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Runchen Wang
Runchen Wang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Biomedical Engineering, Surgery and Atomic and Molecular Physics, and Optics, having authored 56 papers that have together received 353 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Plasmonic and Surface Plasmon Research (7 papers), Strong Light-Matter Interactions (6 papers), Lung Cancer Treatments and Mutations (6 papers), Genetic Associations and Epidemiology (5 papers), Ga2O3 and related materials (5 papers), Pleural and Pulmonary Diseases (4 papers) and Tracheal and airway disorders (4 papers). The work is most often cited by research in Transplantation (10 citations), Oncology (101 citations), Pulmonary and Respiratory Medicine (106 citations), Microbiology (2 citations) and Anesthesiology and Pain Medicine (13 citations). Runchen Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Jianxing He, Wenhua Liang, Yaokai Wen, Hengrui Liang, Fan Ge, Caichen Li, Zhenyu Huo, Ran Zhong, Haoxin Peng and Xiangrong Wu. Their work appears in journals such as Translational Lung Cancer Research, Annals of Translational Medicine, Journal of Physics D Applied Physics, Nanoscale and Nano Letters.
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.