Jun Ye
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- Hepatitis C virus research 5
- Epidemiology 18
- Liver Disease Diagnosis and Treatment 9
- Hepatitis B Virus Studies 7
- Co-authors
- Feng Guo (1 shared paper)Feifei Yao (1 shared paper)Rongbao Gao (1 shared paper)Lijie Wang (1 shared paper)Ling Zheng (1 shared paper)Dahai Zhao (1 shared paper)Yongjun Gao (1 shared paper)Hui Zhao (1 shared paper)
- Journals
- Medicine (3 papers)World Journal of Gastroenterology (3 papers)BMC Infectious Diseases (2 papers)Aging (2 papers)Information Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Ye
54 papers receiving 928 citations
Peers
Comparison fields: 5 of 119
- Infectious Diseases 289
- Cancer Research 131
- Gastroenterology 45
- Neurology 124
- Hepatology 58
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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 346 | |
| 2 | 2003 | 69 | |
| 3 | High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. | 2015 | 64 |
| 4 | 2015 | 49 | |
| 5 | 2018 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2020 | 25 | |
| 8 | 2017 | 24 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 19 | |
| 11 | Molecular epidemiological investigation of G6PD deficiency by a gene chip among Chinese Hakka of southern Jiangxi province. | 2015 | 19 |
| 12 | 2018 | 17 | |
| 13 | 2020 | 14 | |
| 14 | 2018 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2024 | 13 | |
| 18 | 2015 | 13 | |
| 19 | Complete sequence analysis of mitochondrial genome of Lymantria dispar (Lepidoptera : Lymantriidae). | 2010 | 13 |
| 20 | 2023 | 11 |
About Jun Ye
Jun Ye is a scholar working on Hepatology, Epidemiology, Cancer Research, Biological Psychiatry and Gastroenterology, having authored 57 papers that have together received 941 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Hepatitis B Virus Studies (7 papers), Cancer-related molecular mechanisms research (6 papers), Hepatitis C virus research (5 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (3 papers), Ferroptosis and cancer prognosis (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Infectious Diseases (289 citations), Cancer Research (131 citations), Gastroenterology (45 citations), Neurology (124 citations) and Hepatology (58 citations). Jun Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Guo, Feifei Yao, Rongbao Gao, Lijie Wang, Ling Zheng, Dahai Zhao, Yongjun Gao, Hui Zhao, Yuehua Han and Peiwei Li. Their work appears in journals such as Medicine, World Journal of Gastroenterology, BMC Infectious Diseases, Aging and Information Sciences.
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.