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
-
- RNA modifications and cancer 10
- Circular RNAs in diseases 9
- Mitochondrial Function and Pathology 9
-
- Metabolism and Genetic Disorders 23
- Co-authors
- Jian Huang (6 shared papers)Junxing Huang (14 shared papers)Xuefan Gu (25 shared papers)Mei Lin (10 shared papers)Shuai Zhao (1 shared paper)Wenjuan Qiu (18 shared papers)Ting Guo (8 shared papers)Min Sha (7 shared papers)
- Journals
- Scientific Reports (3 papers)Molecules (3 papers)BMC Cancer (3 papers)Frontiers in Genetics (3 papers)Orphanet Journal of Rare Diseases (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Jun Ye
111 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 566
- Clinical Biochemistry 172
- Molecular Biology 1.4k
- Biophysics 58
- Biomaterials 118
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 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 200 | |
| 2 | 2015 | 97 | |
| 3 | 2018 | 72 | |
| 4 | 2018 | 72 | |
| 5 | 2014 | 71 | |
| 6 | 2010 | 71 | |
| 7 | 2014 | 69 | |
| 8 | 2003 | 60 | |
| 9 | 2019 | 58 | |
| 10 | Newborn screening in China: phenylketonuria, congenital hypothyroidism and expanded screening. | 2008 | 58 |
| 11 | 2020 | 51 | |
| 12 | 2011 | 50 | |
| 13 | 2017 | 45 | |
| 14 | 2012 | 44 | |
| 15 | 2014 | 43 | |
| 16 | 2019 | 40 | |
| 17 | 2010 | 39 | |
| 18 | 2016 | 34 | |
| 19 | 2014 | 34 | |
| 20 | 2015 | 32 |
About Jun Ye
Jun Ye is a scholar working on Molecular Biology, Clinical Biochemistry, Cancer Research, Biomaterials and Oncology, having authored 115 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (23 papers), Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers), Diet and metabolism studies (10 papers), Circular RNAs in diseases (9 papers), Mitochondrial Function and Pathology (9 papers), Folate and B Vitamins Research (8 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (566 citations), Clinical Biochemistry (172 citations), Molecular Biology (1.4k citations), Biophysics (58 citations) and Biomaterials (118 citations). Jun Ye has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jian Huang, Junxing Huang, Xuefan Gu, Mei Lin, Shuai Zhao, Wenjuan Qiu, Ting Guo, Min Sha, Wuzhen Chen and Chao Ni. Their work appears in journals such as Scientific Reports, Molecules, BMC Cancer, Frontiers in Genetics and Orphanet Journal of Rare Diseases.
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.