Chun Long
Impact in
- Genetics top 5%
- Virus-based gene therapy research
-
- Cardiomyopathy and Myosin Studies
- Viral Infections and Immunology Research
Papers in
-
- Muscle Physiology and Disorders 6
- Viral Infectious Diseases and Gene Expression in Insects 2
-
- Viral Infections and Immunology Research 5
- Cardiomyopathy and Myosin Studies 3
- Co-authors
- Yongping Yue (9 shared papers)Dongsheng Duan (8 shared papers)Arkasubhra Ghosh (3 shared papers)Dejia Li (4 shared papers)Yi Lai (3 shared papers)Benjamín C. Bostick (1 shared paper)Ronald L. Terjung (1 shared paper)Gail D. Thomas (1 shared paper)
- Journals
- Molecular Therapy (3 papers)Human Gene Therapy (2 papers)Journal of Animal Science (1 paper)Journal of Clinical Investigation (1 paper)Circulation Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Chun Long
11 papers receiving 943 citations
Peers
Comparison fields: 5 of 56
- Genetics 372
- Cardiology and Cardiovascular Medicine 269
- Molecular Biology 833
- Rehabilitation 64
- Aging 13
Countries citing papers authored by Chun Long
This map shows the geographic impact of Chun 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 Chun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Long more than expected).
Fields of papers citing papers by Chun Long
This network shows the impact of papers produced by Chun 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 Chun Long. The network helps show where Chun Long may publish in the future.
Co-authors
The 22 scholars most cited alongside Chun 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 | 2009 | 298 | |
| 2 | 2007 | 145 | |
| 3 | 2008 | 138 | |
| 4 | 2007 | 99 | |
| 5 | 2008 | 79 | |
| 6 | 2008 | 77 | |
| 7 | 2009 | 53 | |
| 8 | 2007 | 49 | |
| 9 | 1991 | 8 | |
| 10 | 2008 | 5 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2025 | 0 |
About Chun Long
Chun Long is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 13 papers that have together received 952 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Viral Infections and Immunology Research (5 papers), Virus-based gene therapy research (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Adipose Tissue and Metabolism (1 paper), Respiratory Support and Mechanisms (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Genetics (372 citations), Cardiology and Cardiovascular Medicine (269 citations), Molecular Biology (833 citations), Rehabilitation (64 citations) and Aging (13 citations). Chun Long has collaborated with scholars based in United States and China. Frequent co-authors include Yongping Yue, Dongsheng Duan, Arkasubhra Ghosh, Dejia Li, Yi Lai, Benjamín C. Bostick, Ronald L. Terjung, Gail D. Thomas, Luke M. Judge and H. T. Yang. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, Journal of Animal Science, Journal of Clinical Investigation and Circulation Research.
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.