Kun Wang
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- Spine and Intervertebral Disc Pathology 20
- Cancer Research top 2%
- Breast Cancer Treatment Studies 38
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- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 13
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 24
- Cancer Treatment and Pharmacology 17
- HER2/EGFR in Cancer Research 16
- Pharmacology top 2%
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- Acute Kidney Injury Research 14
- Journals
- Annals of Oncology (8 papers)Journal of Clinical Oncology (7 papers)Oxidative Medicine and Cellular Longevity (6 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kun Wang
251 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Pathology and Forensic Medicine 1.2k
- Cancer Research 1.0k
- Radiology, Nuclear Medicine and Imaging 910
- Oncology 929
- Pharmacology 531
Countries citing papers authored by Kun Wang
This map shows the geographic impact of Kun 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 Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).
Fields of papers citing papers by Kun Wang
This network shows the impact of papers produced by Kun 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 Kun Wang. The network helps show where Kun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | Prognostic Significance and Therapeutic Target of CXC Chemokines in the Microenvironment of Lung Adenocarcinoma | 2022 | 7 |
| 15 | Cytosolic escape of mitochondrial DNA triggers cGAS-STING-NLRP3 axis-dependent nucleus pulposus cell pyroptosisbreakdown → | 2022 | 226 |
| 16 | 2021 | 16 | |
| 17 | 2020 | 0 | |
| 18 | Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Studybreakdown → | 2019 | 354 |
| 19 | 2019 | 6 | |
| 20 | 2018 | 45 |
About Kun Wang
Kun Wang is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Nephrology and Radiology, Nuclear Medicine and Imaging, having authored 272 papers that have together received 5.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (38 papers), Cancer Immunotherapy and Biomarkers (24 papers), Spine and Intervertebral Disc Pathology (20 papers), Cancer Treatment and Pharmacology (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), HER2/EGFR in Cancer Research (16 papers), Acute Kidney Injury Research (14 papers) and MRI in cancer diagnosis (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Cancer Research (1.0k citations), Radiology, Nuclear Medicine and Imaging (910 citations), Oncology (929 citations) and Pharmacology (531 citations). Kun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yang Cao, Yu Song, Yukun Zhang, Shuai Li, Xinghuo Wu, Zhiwei Liao, Rongjin Luo, Kangcheng Zhao, Gaocai Li and Wenbin Hua. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Oxidative Medicine and Cellular Longevity, Oncotarget and Frontiers in 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.