Bin Xue
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Protein Structure and Dynamics
- Wnt/β-catenin signaling in development and cancer
- Ubiquitin and proteasome pathways
- Fibroblast Growth Factor Research
Papers in
-
- Ubiquitin and proteasome pathways 2
- Cell death mechanisms and regulation 2
- Wnt/β-catenin signaling in development and cancer 2
- Fibroblast Growth Factor Research 2
- Oncology 3
- Co-authors
- Chaojun Li (11 shared papers)Vladimir N. Uversky (3 shared papers)Zhenling Peng (1 shared paper)Lukasz Kurgan (1 shared paper)Kevin Roarty (1 shared paper)Adam C. Pond (1 shared paper)Jeffrey M. Rosen (1 shared paper)Susan G. Hilsenbeck (1 shared paper)
- Journals
- Oncology Reports (2 papers)Journal of Proteome Research (2 papers)Journal of Orthopaedic Translation (2 papers)Nature Communications (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Bin Xue
24 papers receiving 633 citations
Peers
Comparison fields: 5 of 85
- Hepatology 65
- Molecular Biology 372
- Cancer Research 74
- Oncology 93
- Aging 5
Countries citing papers authored by Bin Xue
This map shows the geographic impact of Bin Xue'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 Bin Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Xue more than expected).
Fields of papers citing papers by Bin Xue
This network shows the impact of papers produced by Bin Xue. 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 Bin Xue. The network helps show where Bin Xue may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Xue, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2005 | 74 | |
| 3 | 2012 | 73 | |
| 4 | 2010 | 59 | |
| 5 | 2013 | 58 | |
| 6 | 2015 | 34 | |
| 7 | 2017 | 34 | |
| 8 | 2023 | 33 | |
| 9 | 2023 | 26 | |
| 10 | 2003 | 26 | |
| 11 | 1999 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2024 | 16 | |
| 14 | 2010 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 8 |
About Bin Xue
Bin Xue is a scholar working on Molecular Biology, Oncology, Epidemiology, Physiology and Nutrition and Dietetics, having authored 25 papers that have together received 641 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Clinical Nutrition and Gastroenterology (3 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Fibroblast Growth Factor Research (2 papers), Plant Molecular Biology Research (2 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Hepatology (65 citations), Molecular Biology (372 citations), Cancer Research (74 citations), Oncology (93 citations) and Aging (5 citations). Bin Xue has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Chaojun Li, Vladimir N. Uversky, Zhenling Peng, Lukasz Kurgan, Kevin Roarty, Adam C. Pond, Jeffrey M. Rosen, Susan G. Hilsenbeck, Jing Wu and Ke Lu. Their work appears in journals such as Oncology Reports, Journal of Proteome Research, Journal of Orthopaedic Translation, Nature Communications and Journal of Hepatology.
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.