Xiaohui Ye
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Immune Cell Function and Interaction
- Galectins and Cancer Biology
Papers in
- Hepatology 11
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Liver physiology and pathology 3
-
- Liver Disease Diagnosis and Treatment 8
- Hepatitis B Virus Studies 3
- Co-authors
- Lingling He (13 shared papers)Huimin Ma (3 shared papers)Jian Zhang (2 shared papers)Hongshan Wei (10 shared papers)Fan Xiao (6 shared papers)Xin Li (1 shared paper)Xin Li (2 shared papers)Yi Kong (2 shared papers)
- Journals
- BMC Gastroenterology (1 paper)Gene (1 paper)Scientific Reports (1 paper)Medicine (1 paper)Toxicology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaohui Ye
22 papers receiving 321 citations
Peers
Comparison fields: 5 of 70
- Hepatology 89
- Immunology 61
- Analytical Chemistry 26
- Cancer Research 35
- Epidemiology 70
Countries citing papers authored by Xiaohui Ye
This map shows the geographic impact of Xiaohui 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 Xiaohui Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Ye more than expected).
Fields of papers citing papers by Xiaohui Ye
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Ye. The network helps show where Xiaohui Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2015 | 45 | |
| 3 | 2016 | 39 | |
| 4 | 2017 | 37 | |
| 5 | 2019 | 27 | |
| 6 | 2018 | 26 | |
| 7 | 2021 | 16 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 8 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 8 | |
| 12 | 2006 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2005 | 3 | |
| 19 | 2017 | 3 | |
| 20 | 2019 | 2 |
About Xiaohui Ye
Xiaohui Ye is a scholar working on Hepatology, Epidemiology, Molecular Biology, Immunology and Genetics, having authored 24 papers that have together received 324 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Immune Cell Function and Interaction (4 papers), Liver physiology and pathology (3 papers), Hepatitis B Virus Studies (3 papers), Glycosylation and Glycoproteins Research (3 papers), HIV Research and Treatment (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hepatology (89 citations), Immunology (61 citations), Analytical Chemistry (26 citations), Cancer Research (35 citations) and Epidemiology (70 citations). Xiaohui Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lingling He, Huimin Ma, Jian Zhang, Hongshan Wei, Fan Xiao, Xin Li, Xin Li, Yi Kong, Yahui Chen and Meimei Chen. Their work appears in journals such as BMC Gastroenterology, Gene, Scientific Reports, Medicine and Toxicology.
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.