Kunlun Wang
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems 3
- Molecular Medicine top 5%
- Geriatrics and Gerontology top 5%
- Biomaterials top 10%
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- Esophageal Cancer Research and Treatment 6
- Esophageal and GI Pathology 3
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- Lung Cancer Diagnosis and Treatment 4
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- Cancer Immunotherapy and Biomarkers 3
- Lung Cancer Research Studies 3
- Pancreatic and Hepatic Oncology Research 3
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- Xiuhua ZhaoYuangang ZuYunlong GeLing YuanYing ZhangShan ChangYong LiChong Wang
- Journals
- Frontiers in Oncology (4 papers)International Journal of Pharmaceutics (2 papers)Pathology & Oncology Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Kunlun Wang
23 papers receiving 880 citations
Peers
Comparison fields: 5 of 110
- Pharmaceutical Science 162
- Molecular Medicine 74
- Geriatrics and Gerontology 57
- Biomaterials 142
- Neurology 62
Countries citing papers authored by Kunlun Wang
This map shows the geographic impact of Kunlun 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 Kunlun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunlun Wang more than expected).
Fields of papers citing papers by Kunlun Wang
This network shows the impact of papers produced by Kunlun 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 Kunlun Wang. The network helps show where Kunlun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunlun 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 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 58 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 28 | |
| 14 | 2016 | 74 | |
| 15 | 2015 | 193 | |
| 16 | 2014 | 29 | |
| 17 | 2013 | 48 | |
| 18 | 2013 | 79 | |
| 19 | 2013 | 13 | |
| 20 | 2011 | 161 |
About Kunlun Wang
Kunlun Wang is a scholar working on Pharmaceutical Science, Oncology and Geriatrics and Gerontology, having authored 24 papers that have together received 887 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (6 papers), Lung Cancer Diagnosis and Treatment (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Research Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Esophageal and GI Pathology (3 papers), Advanced Drug Delivery Systems (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pharmaceutical Science (162 citations), Molecular Medicine (74 citations) and Geriatrics and Gerontology (57 citations). Kunlun Wang has collaborated with scholars based in China and United States. Frequent co-authors include Xiuhua Zhao, Yuangang Zu, Yunlong Ge, Ling Yuan, Ying Zhang, Shan Chang, Yong Li, Chong Wang, Yueyun Wang and Shengbo Cao. Their work appears in journals such as Frontiers in Oncology, International Journal of Pharmaceutics, Pathology & Oncology Research, Nutrition and International Journal of Biological Macromolecules.
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.