Suzhen Wang
Impact in
-
- Cancer Immunotherapy and Biomarkers
-
- Ferroptosis and cancer prognosis
- Lung Cancer Treatments and Mutations
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 10
-
- Lung Cancer Treatments and Mutations 4
- Ferroptosis and cancer prognosis 3
- Co-authors
- Fuyan Shi (19 shared papers)Qinghua Wang (10 shared papers)Wenjing Zhang (9 shared papers)Chao Sheng (6 shared papers)Yujia Kong (7 shared papers)Yuting Li (6 shared papers)Juncheng Lyu (7 shared papers)Jie Wang (1 shared paper)
- Journals
- Frontiers in Immunology (3 papers)Frontiers in Public Health (2 papers)Aging (2 papers)BMC Public Health (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Suzhen Wang
45 papers receiving 443 citations
Peers
Comparison fields: 5 of 104
- Oncology 131
- Pulmonary and Respiratory Medicine 121
- Modeling and Simulation 17
- Cancer Research 52
- Radiology, Nuclear Medicine and Imaging 75
Countries citing papers authored by Suzhen Wang
This map shows the geographic impact of Suzhen 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 Suzhen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzhen Wang more than expected).
Fields of papers citing papers by Suzhen Wang
This network shows the impact of papers produced by Suzhen 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 Suzhen Wang. The network helps show where Suzhen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzhen 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 33 | |
| 2 | 2021 | 31 | |
| 3 | 2020 | 31 | |
| 4 | 2013 | 27 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2016 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2021 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2015 | 7 |
About Suzhen Wang
Suzhen Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Immunology and Surgery, having authored 54 papers that have together received 449 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (6 papers), Lung Cancer Treatments and Mutations (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Cancer Genomics and Diagnostics (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Ferroptosis and cancer prognosis (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Oncology (131 citations), Pulmonary and Respiratory Medicine (121 citations), Modeling and Simulation (17 citations), Cancer Research (52 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Suzhen Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fuyan Shi, Qinghua Wang, Wenjing Zhang, Chao Sheng, Yujia Kong, Yuting Li, Juncheng Lyu, Jie Wang, Ningli Wang and Shuanghu Yuan. Their work appears in journals such as Frontiers in Immunology, Frontiers in Public Health, Aging, BMC Public Health and European Journal of Nuclear Medicine and Molecular Imaging.
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.