Jun Ye
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Circular RNAs in diseases 7
- RNA Interference and Gene Delivery 6
- RNA Research and Splicing 4
-
- Metabolism and Genetic Disorders 15
- Co-authors
- Jian Huang (6 shared papers)Junxing Huang (14 shared papers)Xuefan Gu (25 shared papers)Shuai Zhao (1 shared paper)Mei Lin (10 shared papers)Wenjuan Qiu (18 shared papers)Ting Guo (8 shared papers)Min Sha (7 shared papers)
- Journals
- Scientific Reports (3 papers)BMC Cancer (3 papers)Molecules (3 papers)Frontiers in Genetics (3 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Ye
112 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 529
- Clinical Biochemistry 167
- Molecular Biology 1.3k
- Biomaterials 140
- Biophysics 60
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 204 | |
| 2 | 2015 | 107 | |
| 3 | 2018 | 89 | |
| 4 | 2018 | 73 | |
| 5 | 2010 | 73 | |
| 6 | 2014 | 72 | |
| 7 | 2014 | 70 | |
| 8 | 2003 | 64 | |
| 9 | 2019 | 61 | |
| 10 | 2020 | 58 | |
| 11 | Newborn screening in China: phenylketonuria, congenital hypothyroidism and expanded screening. | 2008 | 58 |
| 12 | 2011 | 50 | |
| 13 | 2017 | 46 | |
| 14 | 2012 | 45 | |
| 15 | 2014 | 44 | |
| 16 | 2019 | 41 | |
| 17 | 2010 | 40 | |
| 18 | 2022 | 37 | |
| 19 | 2014 | 36 | |
| 20 | 2016 | 34 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Clinical Biochemistry, Biomaterials, Cancer Research and Oncology, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (15 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), RNA Interference and Gene Delivery (6 papers), Nanoparticle-Based Drug Delivery (6 papers), MicroRNA in disease regulation (5 papers), Advanced Cellulose Research Studies (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (529 citations), Clinical Biochemistry (167 citations), Molecular Biology (1.3k citations), Biomaterials (140 citations) and Biophysics (60 citations). Jun Ye has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jian Huang, Junxing Huang, Xuefan Gu, Shuai Zhao, Mei Lin, Wenjuan Qiu, Ting Guo, Min Sha, Wuzhen Chen and Chao Ni. Their work appears in journals such as Scientific Reports, BMC Cancer, Molecules, Frontiers in Genetics and Frontiers in Oncology.
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.