Xiju Wang
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 8
- Cancer Cells and Metastasis 8
- Cytokine Signaling Pathways and Interactions 1
-
- Epigenetics and DNA Methylation 3
- Co-authors
- Bin Cheng (10 shared papers)Yawen Li (8 shared papers)Ronghua Wang (8 shared papers)Si Xiong (8 shared papers)Zhenxiong Zhao (6 shared papers)Shoujun Yu (2 shared papers)Wenwen Yue (1 shared paper)Shu‐Rong Wang (1 shared paper)
- Journals
- Cancer Management and Research (2 papers)Annals of Translational Medicine (1 paper)Colloids and Surfaces A Physicochemical and Engineering Aspects (1 paper)European Journal of Radiology (1 paper)Cellular Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiju Wang
13 papers receiving 579 citations
Peers
Comparison fields: 5 of 67
- Hepatology 81
- Cancer Research 149
- Oncology 222
- Endocrinology, Diabetes and Metabolism 122
- Immunology 80
Countries citing papers authored by Xiju Wang
This map shows the geographic impact of Xiju Wang'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 Xiju Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiju Wang more than expected).
Fields of papers citing papers by Xiju Wang
This network shows the impact of papers produced by Xiju Wang. 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 Xiju Wang. The network helps show where Xiju Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiju Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 147 | |
| 2 | 2018 | 134 | |
| 3 | Cancer-associated fibroblasts promote stem cell-like properties of hepatocellular carcinoma cells through IL-6/STAT3/Notch signaling. | 2018 | 113 |
| 4 | 2018 | 74 | |
| 5 | 2019 | 53 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 15 | |
| 8 | 2021 | 10 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 4 | |
| 11 | 2012 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2019 | 1 |
About Xiju Wang
Xiju Wang is a scholar working on Oncology, Molecular Biology, Epidemiology, Hepatology and Cancer Research, having authored 13 papers that have together received 587 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Liver physiology and pathology (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Pancreatic function and diabetes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hepatology (81 citations), Cancer Research (149 citations), Oncology (222 citations), Endocrinology, Diabetes and Metabolism (122 citations) and Immunology (80 citations). Xiju Wang has collaborated with scholars based in China and United States. Frequent co-authors include Bin Cheng, Yawen Li, Ronghua Wang, Si Xiong, Zhenxiong Zhao, Shoujun Yu, Wenwen Yue, Shu‐Rong Wang, Qingling Xu and Yonglin Zhang. Their work appears in journals such as Cancer Management and Research, Annals of Translational Medicine, Colloids and Surfaces A Physicochemical and Engineering Aspects, European Journal of Radiology and Cellular Oncology.
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.