He‐Xin Yan
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- Pluripotent Stem Cells Research 5
- Protein Tyrosine Phosphatases 4
- Hepatology 14
- Liver physiology and pathology 14
- Co-authors
- Hongyang Wang (24 shared papers)Mengchao Wu (14 shared papers)Le‐Xing Yu (8 shared papers)Liang Tang (6 shared papers)Qiong Liu (3 shared papers)Wen Yang (6 shared papers)Yaqin He (6 shared papers)Hongping Wu (14 shared papers)
- Journals
- Cancer Letters (4 papers)Hepatology (3 papers)Journal of Hepatology (3 papers)Theranostics (2 papers)Frontiers in Bioengineering and Biotechnology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
He‐Xin Yan
53 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Hepatology 480
- Cancer Research 562
- Oncology 606
- Molecular Biology 1.3k
- Immunology 363
Countries citing papers authored by He‐Xin Yan
This map shows the geographic impact of He‐Xin Yan'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 He‐Xin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He‐Xin Yan more than expected).
Fields of papers citing papers by He‐Xin Yan
This network shows the impact of papers produced by He‐Xin Yan. 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 He‐Xin Yan. The network helps show where He‐Xin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside He‐Xin Yan, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 330 | |
| 2 | 2010 | 293 | |
| 3 | 2008 | 202 | |
| 4 | 2014 | 153 | |
| 5 | 2013 | 130 | |
| 6 | 2018 | 129 | |
| 7 | 2013 | 122 | |
| 8 | 2015 | 117 | |
| 9 | 2007 | 114 | |
| 10 | 2012 | 109 | |
| 11 | 2008 | 77 | |
| 12 | 2012 | 64 | |
| 13 | 2016 | 64 | |
| 14 | 2013 | 58 | |
| 15 | 2017 | 52 | |
| 16 | 2006 | 52 | |
| 17 | 2018 | 50 | |
| 18 | 2016 | 48 | |
| 19 | 2008 | 38 | |
| 20 | 2019 | 37 |
About He‐Xin Yan
He‐Xin Yan is a scholar working on Molecular Biology, Hepatology, Surgery, Immunology and Cancer Research, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver physiology and pathology (14 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Immune Response and Inflammation (5 papers), Pancreatic function and diabetes (5 papers), Pluripotent Stem Cells Research (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Protein Tyrosine Phosphatases (4 papers). The work is most often cited by research in Hepatology (480 citations), Cancer Research (562 citations), Oncology (606 citations), Molecular Biology (1.3k citations) and Immunology (363 citations). He‐Xin Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongyang Wang, Mengchao Wu, Le‐Xing Yu, Liang Tang, Qiong Liu, Wen Yang, Yaqin He, Hongping Wu, Hui‐Lu Zhang and Shuqin Liu. Their work appears in journals such as Cancer Letters, Hepatology, Journal of Hepatology, Theranostics and Frontiers in Bioengineering and Biotechnology.
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.