Jun Ye
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Endocrine and Autonomic Systems top 10%
Papers in
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- Glycosylation and Glycoproteins Research 4
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 7
- Cancer Cells and Metastasis 3
- Co-authors
- Xiping Deng (2 shared papers)Jianhong Ren (2 shared papers)Shiwen Wang (2 shared papers)Lina Yin (2 shared papers)Rongquan Wang (11 shared papers)Yangyang Shang (9 shared papers)Qingbo Ke (1 shared paper)Qiong Pan (8 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Experimental Cell Research (2 papers)Oncotarget (2 papers)Molecular Microbiology (1 paper)Environmental Science & Technology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ye
27 papers receiving 924 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 138
- Endocrine and Autonomic Systems 50
- Plant Science 221
- Pollution 58
- Physiology 23
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun Ye. 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 Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ye, 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 | 2013 | 220 | |
| 2 | 2018 | 158 | |
| 3 | 2014 | 80 | |
| 4 | 2020 | 71 | |
| 5 | 2017 | 54 | |
| 6 | 2020 | 51 | |
| 7 | 2017 | 38 | |
| 8 | 2015 | 34 | |
| 9 | 2008 | 30 | |
| 10 | 2016 | 27 | |
| 11 | 2017 | 25 | |
| 12 | 2017 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2015 | 16 | |
| 15 | 2015 | 15 | |
| 16 | 2015 | 12 | |
| 17 | 2018 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2013 | 8 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Oncology, Genetics, Infectious Diseases and Organic Chemistry, having authored 28 papers that have together received 935 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Cancer Cells and Metastasis (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Digestive system and related health (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Viral Infections and Immunology Research (2 papers), Circadian rhythm and melatonin (2 papers) and Gastric Cancer Management and Outcomes (2 papers). The work is most often cited by research in Cancer Research (138 citations), Endocrine and Autonomic Systems (50 citations), Plant Science (221 citations), Pollution (58 citations) and Physiology (23 citations). Jun Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiping Deng, Jianhong Ren, Shiwen Wang, Lina Yin, Rongquan Wang, Yangyang Shang, Qingbo Ke, Qiong Pan, Zhihong Peng and Chun‐Sing Lee. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research, Oncotarget, Molecular Microbiology and Environmental Science & Technology.
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.