Jun Long
Impact in
-
- Spine and Intervertebral Disc Pathology
-
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
-
- Hedgehog Signaling Pathway Studies 14
- Epigenetics and DNA Methylation 7
- Extracellular vesicles in disease 6
- Chromatin Remodeling and Cancer 4
- Circular RNAs in diseases 3
- Genomics and Chromatin Dynamics 3
-
- MicroRNA in disease regulation 4
- Co-authors
- Zemin Li (5 shared papers)Hehai Pan (4 shared papers)Zhaomin Zheng (3 shared papers)Jianru Wang (3 shared papers)Hua Wang (3 shared papers)Hui Liu (3 shared papers)David J. Robbins (14 shared papers)Anthony J. Capobianco (10 shared papers)
- Journals
- Oncogene (2 papers)Cancer Research (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Cell Reports (2 papers)Journal of Orthopaedic Translation (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Long
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Pathology and Forensic Medicine 250
- Molecular Biology 642
- Cancer Research 116
- Pharmacology 114
- Rheumatology 69
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 | 203 | |
| 2 | 2018 | 118 | |
| 3 | 2014 | 94 | |
| 4 | 2023 | 43 | |
| 5 | 2012 | 41 | |
| 6 | 2011 | 41 | |
| 7 | 2021 | 40 | |
| 8 | 2012 | 40 | |
| 9 | 2019 | 40 | |
| 10 | 2013 | 37 | |
| 11 | 2019 | 29 | |
| 12 | 2015 | 28 | |
| 13 | 2012 | 26 | |
| 14 | 2014 | 24 | |
| 15 | 2018 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2015 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2023 | 17 | |
| 20 | 2017 | 17 |
About Jun Long
Jun Long is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (14 papers), Epigenetics and DNA Methylation (7 papers), Extracellular vesicles in disease (6 papers), Chromatin Remodeling and Cancer (4 papers), MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Genomics and Chromatin Dynamics (3 papers) and Pregnancy-related medical research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (250 citations), Molecular Biology (642 citations), Cancer Research (116 citations), Pharmacology (114 citations) and Rheumatology (69 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, Jianru Wang, Hua Wang, Hui Liu, David J. Robbins, Anthony J. Capobianco, Jezabel Rodríguez‐Blanco and Haowen Cui. Their work appears in journals such as Oncogene, Cancer Research, Frontiers in Cell and Developmental Biology, Cell Reports and Journal of Orthopaedic Translation.
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.