Kun Wang
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Nephrology top 2%
- Acute Kidney Injury Research
Papers in
- Pharmacology 22
- Antibiotics Pharmacokinetics and Efficacy 8
- Apelin-related biomedical research 4
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- HIV/AIDS drug development and treatment 5
- Co-authors
- Lei Dong (1 shared paper)Meng Zhang (1 shared paper)Ying Yao (1 shared paper)Yichun Cheng (1 shared paper)Ran Luo (1 shared paper)Gang Xu (1 shared paper)Shuwang Ge (1 shared paper)Zhixiang Wang (1 shared paper)
- Journals
- Acta Pharmacologica Sinica (6 papers)Clinical and Translational Science (4 papers)Frontiers in Pharmacology (4 papers)Biomedicine & Pharmacotherapy (3 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Wang
97 papers receiving 2.9k citations
Kun Wang's Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 1.3k
- Nephrology 244
- Neurology 437
- Obstetrics and Gynecology 116
- Pharmacology 205
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-authors
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
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Kidney disease is associated with in-hospital death of patients with COVID-19 Hit paper breakdown → | 2020 | 1840 |
| 2 | Chemerin and apelin are positively correlated with inflammation in obese type 2 diabetic patients. | 2012 | 57 |
| 3 | 2012 | 56 | |
| 4 | 2014 | 51 | |
| 5 | 2019 | 42 | |
| 6 | 2024 | 39 | |
| 7 | 2018 | 39 | |
| 8 | 2020 | 39 | |
| 9 | 2015 | 31 | |
| 10 | 2017 | 27 | |
| 11 | 2017 | 27 | |
| 12 | 2021 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2017 | 22 | |
| 15 | 2022 | 22 | |
| 16 | 2012 | 21 | |
| 17 | 2013 | 21 | |
| 18 | 2010 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2021 | 20 |
About Kun Wang
Kun Wang is a scholar working on Pharmacology, Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Anesthesia and Sedative Agents (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), HIV/AIDS drug development and treatment (5 papers), Geotechnical Engineering and Analysis (4 papers), Apelin-related biomedical research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Nephrology (244 citations), Neurology (437 citations), Obstetrics and Gynecology (116 citations) and Pharmacology (205 citations). Kun Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lei Dong, Meng Zhang, Ying Yao, Yichun Cheng, Ran Luo, Gang Xu, Shuwang Ge, Zhixiang Wang, Junhua Li and Qingshan Zheng. Their work appears in journals such as Acta Pharmacologica Sinica, Clinical and Translational Science, Frontiers in Pharmacology, Biomedicine & Pharmacotherapy and CPT Pharmacometrics & Systems Pharmacology.
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.