Junke Long
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
- Surgery 3
- Lipoproteins and Cardiovascular Health 3
- Cholesterol and Lipid Metabolism 2
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- Chemotherapy-induced cardiotoxicity and mitigation 1
- Acute Myocardial Infarction Research 1
- Co-authors
- Yiming Li (3 shared papers)Yanjun Zhong (2 shared papers)Yanbing Ding (1 shared paper)Xia Wu (1 shared paper)Wen Dai (2 shared papers)Yawen Zheng (3 shared papers)Shui-Ping Zhao (1 shared paper)Shui‐Ping Zhao (2 shared papers)
- Journals
- Scientific Reports (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Molecular Medicine (1 paper)International Journal of Antimicrobial Agents (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Junke Long
9 papers receiving 1.0k citations
Junke Long's Hit Papers
Peers
Comparison fields: 5 of 131
- Infectious Diseases 332
- Modeling and Simulation 64
- Neurology 114
- Cancer Research 84
- General Dentistry 9
Countries citing papers authored by Junke Long
This map shows the geographic impact of Junke Long'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 Junke Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junke Long more than expected).
Fields of papers citing papers by Junke Long
This network shows the impact of papers produced by Junke Long. 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 Junke Long. The network helps show where Junke Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Junke Long, 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 | The epidemiology, diagnosis and treatment of COVID-19 Hit paper breakdown → | 2020 | 666 |
| 2 | 2019 | 217 | |
| 3 | 2021 | 44 | |
| 4 | 2020 | 37 | |
| 5 | 2017 | 35 | |
| 6 | 2018 | 28 | |
| 7 | 2020 | 8 | |
| 8 | 2025 | 2 | |
| 9 | 2022 | 2 |
About Junke Long
Junke Long is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Oncology, Epidemiology and Immunology, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (3 papers), interferon and immune responses (2 papers), Cholesterol and Lipid Metabolism (2 papers), Immune Response and Inflammation (2 papers), Sepsis Diagnosis and Treatment (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Acute Myocardial Infarction Research (1 paper). The work is most often cited by research in Infectious Diseases (332 citations), Modeling and Simulation (64 citations), Neurology (114 citations), Cancer Research (84 citations) and General Dentistry (9 citations). Junke Long has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yiming Li, Yanjun Zhong, Yanbing Ding, Xia Wu, Wen Dai, Yawen Zheng, Shui-Ping Zhao, Shui‐Ping Zhao, Daoquan Peng and Ying Cheng. Their work appears in journals such as Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology, Frontiers in Cardiovascular Medicine, Molecular Medicine and International Journal of Antimicrobial Agents.
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.