Jun Long
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
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- Sirtuins and Resveratrol in Medicine
Papers in
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- Atherosclerosis and Cardiovascular Diseases 6
- T-cell and B-cell Immunology 1
- Immunotherapy and Immune Responses 1
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- Sirtuins and Resveratrol in Medicine 1
- Co-authors
- Liyu Zhou (5 shared papers)Jie Wu (6 shared papers)Le Shi (1 shared paper)Lingling Zhou (1 shared paper)Xin Yang (3 shared papers)Gaofu Qi (2 shared papers)Wentao Liu (2 shared papers)Taiming Li (3 shared papers)
- Journals
- International Immunopharmacology (4 papers)Frontiers in Cardiovascular Medicine (2 papers)Life Sciences (1 paper)BioScience Trends (1 paper)Vaccine (1 paper)
- Partner nations
- China
In The Last Decade
Jun Long
18 papers receiving 393 citations
Peers
Comparison fields: 5 of 41
- Immunology 135
- Geriatrics and Gerontology 12
- Complementary and alternative medicine 9
- Rheumatology 15
- Biotechnology 4
Countries citing papers authored by Jun Long
This map shows the geographic impact of Jun 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 Jun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Long more than expected).
Fields of papers citing papers by Jun Long
This network shows the impact of papers produced by Jun 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 Jun Long. The network helps show where Jun Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 | 2018 | 108 | |
| 2 | 2005 | 47 | |
| 3 | 2020 | 40 | |
| 4 | 2005 | 34 | |
| 5 | 2011 | 27 | |
| 6 | 2015 | 25 | |
| 7 | 2012 | 24 | |
| 8 | 2021 | 22 | |
| 9 | 2015 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2019 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2008 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Jun Long
Jun Long is a scholar working on Immunology, Geriatrics and Gerontology, Gastroenterology, Reproductive Medicine and Cancer Research, having authored 19 papers that have together received 409 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (6 papers), Cholesterol and Lipid Metabolism (1 paper), Sesquiterpenes and Asteraceae Studies (1 paper), Gastrointestinal motility and disorders (1 paper), Sirtuins and Resveratrol in Medicine (1 paper), T-cell and B-cell Immunology (1 paper), Immunotherapy and Immune Responses (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Immunology (135 citations), Geriatrics and Gerontology (12 citations), Complementary and alternative medicine (9 citations), Rheumatology (15 citations) and Biotechnology (4 citations). Jun Long has collaborated with scholars based in China. Frequent co-authors include Liyu Zhou, Jie Wu, Le Shi, Lingling Zhou, Xin Yang, Gaofu Qi, Wentao Liu, Taiming Li, Yuting Sun and Xiang-Chun Shen. Their work appears in journals such as International Immunopharmacology, Frontiers in Cardiovascular Medicine, Life Sciences, BioScience Trends and Vaccine.
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.