Jun Ye
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Gastroenterology top 10%
- Celiac Disease Research and Management
Papers in
- Epidemiology 10
- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Rongbao Gao (1 shared paper)Feng Guo (1 shared paper)Feifei Yao (1 shared paper)Lijie Wang (1 shared paper)Dahai Zhao (1 shared paper)Ling Zheng (1 shared paper)Hui Zhao (1 shared paper)Yuehua Han (2 shared papers)
- Journals
- Medicine (4 papers)World Journal of Gastroenterology (3 papers)BMC Infectious Diseases (2 papers)Aging (2 papers)Ultrasound in Medicine & Biology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Ye
55 papers receiving 1k citations
Peers
Comparison fields: 5 of 97
- Infectious Diseases 282
- Gastroenterology 50
- Hepatology 33
- Cancer Research 49
- Modeling and Simulation 16
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 366 | |
| 2 | 2003 | 74 | |
| 3 | High-grade ovarian cancer secreting effective exosomes in tumor angiogenesis. | 2015 | 65 |
| 4 | 2015 | 58 | |
| 5 | 2011 | 34 | |
| 6 | 2018 | 30 | |
| 7 | 2016 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2020 | 25 | |
| 10 | Molecular epidemiological investigation of G6PD deficiency by a gene chip among Chinese Hakka of southern Jiangxi province. | 2015 | 21 |
| 11 | 2020 | 21 | |
| 12 | 2018 | 18 | |
| 13 | 2019 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2020 | 14 | |
| 20 | 2022 | 14 |
About Jun Ye
Jun Ye is a scholar working on Epidemiology, Cancer Research, Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Genomics and Phylogenetic Studies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Genetic Associations and Epidemiology (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Liver Disease and Transplantation (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Infectious Diseases (282 citations), Gastroenterology (50 citations), Hepatology (33 citations), Cancer Research (49 citations) and Modeling and Simulation (16 citations). Jun Ye has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Rongbao Gao, Feng Guo, Feifei Yao, Lijie Wang, Dahai Zhao, Ling Zheng, Hui Zhao, Yuehua Han, Peiwei Li and Wuzhen Chen. Their work appears in journals such as Medicine, World Journal of Gastroenterology, BMC Infectious Diseases, Aging and Ultrasound in Medicine & Biology.
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.