Shaojun Ye
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
- Surgery 23
- Organ Transplantation Techniques and Outcomes 19
- Transplantation: Methods and Outcomes 6
- Hepatology 14
- Liver Disease and Transplantation 13
- Co-authors
- Qifa Ye (38 shared papers)Yanfeng Wang (20 shared papers)Zibiao Zhong (18 shared papers)Zhongzhong Liu (13 shared papers)Yan Xiong (11 shared papers)Wei Zhou (6 shared papers)Haoyang Xia (4 shared papers)Qiuyan Zhang (5 shared papers)
- Journals
- Artificial Organs (4 papers)Cell Death and Disease (2 papers)Frontiers in Immunology (2 papers)Oxidative Medicine and Cellular Longevity (2 papers)Liver International (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shaojun Ye
37 papers receiving 540 citations
Peers
Comparison fields: 5 of 76
- Transplantation 70
- Hepatology 129
- Infectious Diseases 92
- Obstetrics and Gynecology 38
- Surgery 196
Countries citing papers authored by Shaojun Ye
This map shows the geographic impact of Shaojun 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 Shaojun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaojun Ye more than expected).
Fields of papers citing papers by Shaojun Ye
This network shows the impact of papers produced by Shaojun 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 Shaojun Ye. The network helps show where Shaojun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaojun 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 87 | |
| 2 | 2017 | 33 | |
| 3 | 2017 | 32 | |
| 4 | 2022 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2021 | 29 | |
| 7 | 2016 | 24 | |
| 8 | 2017 | 24 | |
| 9 | 2020 | 24 | |
| 10 | 2018 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2018 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2015 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2017 | 12 | |
| 19 | Risk factors for delayed graft function in cardiac death donor renal transplants. | 2012 | 10 |
| 20 | 2022 | 9 |
About Shaojun Ye
Shaojun Ye is a scholar working on Surgery, Hepatology, Molecular Biology, Epidemiology and Transplantation, having authored 42 papers that have together received 548 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (19 papers), Liver Disease and Transplantation (13 papers), Renal Transplantation Outcomes and Treatments (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Transplantation: Methods and Outcomes (6 papers), Organ Donation and Transplantation (6 papers), Kruppel-like factors research (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Transplantation (70 citations), Hepatology (129 citations), Infectious Diseases (92 citations), Obstetrics and Gynecology (38 citations) and Surgery (196 citations). Shaojun Ye has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qifa Ye, Yanfeng Wang, Zibiao Zhong, Zhongzhong Liu, Yan Xiong, Wei Zhou, Haoyang Xia, Qiuyan Zhang, Yingzi Ming and Xiaoli Fan. Their work appears in journals such as Artificial Organs, Cell Death and Disease, Frontiers in Immunology, Oxidative Medicine and Cellular Longevity and Liver International.
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.