Changli Wang
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 63
- Lung Cancer Research Studies 22
- Cancer Immunotherapy and Biomarkers 14
- Cancer Cells and Metastasis 8
-
- Lung Cancer Diagnosis and Treatment 38
- Lung Cancer Treatments and Mutations 36
- Co-authors
- Dongsheng YueZhenfa ZhangXiaoming DengLulong BoHua ZhangLiuwei GaoZhengyu JiangJinjun Bian
- Journals
- Journal of Clinical Oncology (10 papers)Oncotarget (8 papers)Journal of Thoracic Oncology (4 papers)Cancer Research (3 papers)Tumor Biology (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Changli Wang
135 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 135
- Oncology 953
- Cancer Research 411
- Pulmonary and Respiratory Medicine 717
- Immunology 348
- Molecular Biology 935
Countries citing papers authored by Changli Wang
This map shows the geographic impact of Changli 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 Changli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changli Wang more than expected).
Fields of papers citing papers by Changli Wang
This network shows the impact of papers produced by Changli 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 Changli Wang. The network helps show where Changli Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changli 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 25 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 37 | |
| 7 | 2019 | 2 | |
| 8 | 2019 | 92 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 34 | |
| 11 | 2018 | 49 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 63 | |
| 14 | 2016 | 33 | |
| 15 | 2015 | 4 | |
| 16 | 2013 | 10 | |
| 17 | 2011 | 3 | |
| 18 | Expression of CD44v6,survivin,β-Catenin in Bronchioloalveolar Carcinoma and Their Prognostic Implications | 2010 | 1 |
| 19 | Clinical analysis of 23 cases of double primary lung cancer | 2008 | 1 |
| 20 | Advances in Immunotherapy for Lung Cancer | 2008 | 0 |
About Changli Wang
Changli Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Microbiology, Cancer Research and Hepatology, having authored 143 papers that have together received 2.6k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (38 papers), Lung Cancer Treatments and Mutations (36 papers), Lung Cancer Research Studies (22 papers), Cancer Immunotherapy and Biomarkers (14 papers), RNA modifications and cancer (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Cells and Metastasis (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Oncology (953 citations), Cancer Research (411 citations), Pulmonary and Respiratory Medicine (717 citations), Immunology (348 citations) and Molecular Biology (935 citations). Changli Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongsheng Yue, Zhenfa Zhang, Xiaoming Deng, Lulong Bo, Hua Zhang, Liuwei Gao, Zhengyu Jiang, Jinjun Bian, Bin Zhang and Lianmin Zhang. Their work appears in journals such as Journal of Clinical Oncology, Oncotarget, Journal of Thoracic Oncology, Cancer Research and Tumor Biology.
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.