Jun Long
Impact in
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- Spine and Intervertebral Disc Pathology
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- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in ⓘ
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- MicroRNA in disease regulation 6
- Co-authors
- Zemin Li (5 shared papers)Hehai Pan (4 shared papers)Zhaomin Zheng (4 shared papers)Hua Wang (3 shared papers)Jianru Wang (3 shared papers)David J. Robbins (14 shared papers)Hui Liu (3 shared papers)Anthony J. Capobianco (10 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Cell Reports (2 papers)Cancer Research (2 papers)Oncogene (2 papers)Journal of Integrative Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Long
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Pathology and Forensic Medicine 247
- Molecular Biology 665
- Cancer Research 136
- Pharmacology 149
- Rheumatology 81
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
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 194 | |
| 2 | 2018 | 118 | |
| 3 | 2014 | 92 | |
| 4 | 2012 | 41 | |
| 5 | 2011 | 40 | |
| 6 | 2012 | 40 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 2023 | 36 | |
| 10 | 2013 | 36 | |
| 11 | 2019 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2014 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2015 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2023 | 17 | |
| 20 | 2021 | 16 |
About Jun Long
Jun Long is a scholar working on Applied Microbiology and Biotechnology, Cancer Research, Neurology, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (15 papers), Epigenetics and DNA Methylation (9 papers), Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Chromatin Remodeling and Cancer (4 papers), Genomics and Chromatin Dynamics (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (247 citations), Molecular Biology (665 citations), Cancer Research (136 citations), Pharmacology (149 citations) and Rheumatology (81 citations). Jun Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zemin Li, Hehai Pan, Zhaomin Zheng, Hua Wang, Jianru Wang, David J. Robbins, Hui Liu, Anthony J. Capobianco, Jezabel Rodríguez‐Blanco and Haowen Cui. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Cell Reports, Cancer Research, Oncogene and Journal of Integrative Neuroscience.
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.