Yonglong Jin
Impact in
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Natural product bioactivities and synthesis 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Wenjing Xiao (6 shared papers)Jian Dong (1 shared paper)Libo Jiang (1 shared paper)Yunqi Jiang (1 shared paper)Xinlei Wu (2 shared papers)Xiangyang Wang (2 shared papers)Xiguang Liu (7 shared papers)Yaosen Wu (1 shared paper)
- Journals
- Medicine (2 papers)PLoS ONE (2 papers)Frontiers in Pharmacology (1 paper)The American Journal of Chinese Medicine (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Yonglong Jin
25 papers receiving 482 citations
Peers
Comparison fields: 5 of 80
- Pathology and Forensic Medicine 120
- Cancer Research 85
- Rheumatology 56
- Pharmacology 57
- Molecular Biology 187
Countries citing papers authored by Yonglong Jin
This map shows the geographic impact of Yonglong Jin'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 Yonglong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonglong Jin more than expected).
Fields of papers citing papers by Yonglong Jin
This network shows the impact of papers produced by Yonglong Jin. 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 Yonglong Jin. The network helps show where Yonglong Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonglong Jin, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2014 | 66 | |
| 3 | 2014 | 56 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 32 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 24 | |
| 8 | 2012 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2014 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2023 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Yonglong Jin
Yonglong Jin is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Epidemiology, having authored 28 papers that have together received 492 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Head and Neck Cancer Studies (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Natural product bioactivities and synthesis (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Autophagy in Disease and Therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (120 citations), Cancer Research (85 citations), Rheumatology (56 citations), Pharmacology (57 citations) and Molecular Biology (187 citations). Yonglong Jin has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Wenjing Xiao, Jian Dong, Libo Jiang, Yunqi Jiang, Xinlei Wu, Xiangyang Wang, Xiguang Liu, Yaosen Wu, Wenhao Zheng and Hui Zhang. Their work appears in journals such as Medicine, PLoS ONE, Frontiers in Pharmacology, The American Journal of Chinese Medicine and Toxicology and Applied 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.