Jun Yong
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Congenital heart defects research
- Epigenetics and DNA Methylation
- Renal and related cancers
- Hepatology top 5%
Papers in
-
- Single-cell and spatial transcriptomics 10
- Pluripotent Stem Cells Research 9
- Renal and related cancers 6
- RNA Research and Splicing 5
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 4
- Congenital heart defects research 3
- Surgery 4
- Co-authors
- Fuchou Tang (13 shared papers)Jie Qiao (12 shared papers)Lu Wen (12 shared papers)Hongkui Deng (10 shared papers)Mingxiao Ding (7 shared papers)Liying Yan (9 shared papers)Ji Dong (7 shared papers)Xiaoying Fan (5 shared papers)
- Journals
- Cell Research (5 papers)Cell Reports (3 papers)Reproduction (2 papers)Nature Communications (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jun Yong
29 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.9k
- Hepatology 153
- Developmental Neuroscience 80
- Cancer Research 277
- Surgery 588
Countries citing papers authored by Jun Yong
This map shows the geographic impact of Jun Yong'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 Yong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yong more than expected).
Fields of papers citing papers by Jun Yong
This network shows the impact of papers produced by Jun Yong. 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 Yong. The network helps show where Jun Yong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yong, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 369 | |
| 2 | 2019 | 314 | |
| 3 | 2007 | 256 | |
| 4 | 2018 | 247 | |
| 5 | 2007 | 242 | |
| 6 | 2018 | 144 | |
| 7 | 2019 | 106 | |
| 8 | 2020 | 95 | |
| 9 | 2020 | 91 | |
| 10 | 2016 | 83 | |
| 11 | 2009 | 82 | |
| 12 | 2018 | 74 | |
| 13 | 2021 | 61 | |
| 14 | 2015 | 41 | |
| 15 | 2015 | 39 | |
| 16 | 2020 | 39 | |
| 17 | 2023 | 35 | |
| 18 | 2022 | 20 | |
| 19 | 2014 | 19 | |
| 20 | 2005 | 17 |
About Jun Yong
Jun Yong is a scholar working on Molecular Biology, Surgery, Genetics, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Pluripotent Stem Cells Research (9 papers), Renal and related cancers (6 papers), RNA Research and Splicing (5 papers), CRISPR and Genetic Engineering (5 papers), Epigenetics and DNA Methylation (4 papers), Congenital heart defects research (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Hepatology (153 citations), Developmental Neuroscience (80 citations), Cancer Research (277 citations) and Surgery (588 citations). Jun Yong has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Fuchou Tang, Jie Qiao, Lu Wen, Hongkui Deng, Mingxiao Ding, Liying Yan, Ji Dong, Xiaoying Fan, Yueli Cui and Wei Jiang. Their work appears in journals such as Cell Research, Cell Reports, Reproduction, Nature Communications and Signal Transduction and Targeted Therapy.
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.