Jun Ye
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
-
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
-
- Mitochondrial Function and Pathology 3
- Biochemical and Molecular Research 2
-
- Metabolism and Genetic Disorders 8
- Co-authors
- Qin Du (1 shared paper)Pan Chi (1 shared paper)Jia Wu (1 shared paper)Yuezhong Ren (1 shared paper)Caihua Wang (1 shared paper)Zonghui Ding (1 shared paper)Chunpeng Zhu (1 shared paper)Liming Shao (1 shared paper)
- Journals
- Cellular Signalling (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Gene (1 paper)Frontiers in Microbiology (1 paper)Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ye
22 papers receiving 332 citations
Peers
Comparison fields: 5 of 65
- Clinical Biochemistry 72
- Cancer Research 75
- Urology 27
- Molecular Biology 194
- Biochemistry 14
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 84 | |
| 2 | 2012 | 31 | |
| 3 | 2020 | 30 | |
| 4 | 2015 | 28 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2015 | 19 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 5 | |
| 16 | [Gene mutation analysis in patients with propionic acidemia]. | 2008 | 4 |
| 17 | 2024 | 2 | |
| 18 | 2009 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2019 | 2 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Clinical Biochemistry, Cancer Research, Physiology and Plant Science, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Diet and metabolism studies (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), MicroRNA in disease regulation (2 papers), Plant nutrient uptake and metabolism (2 papers), Hair Growth and Disorders (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Clinical Biochemistry (72 citations), Cancer Research (75 citations), Urology (27 citations), Molecular Biology (194 citations) and Biochemistry (14 citations). Jun Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qin Du, Pan Chi, Jia Wu, Yuezhong Ren, Caihua Wang, Zonghui Ding, Chunpeng Zhu, Liming Shao, Xuefan Gu and Wenjuan Qiu. Their work appears in journals such as Cellular Signalling, Journal of Cellular and Molecular Medicine, Gene, Frontiers in Microbiology and Molecular Immunology.
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.