Shaoyu Yan
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
Papers in
-
- Angiogenesis and VEGF in Cancer 7
- Kruppel-like factors research 2
-
- Lung Cancer Treatments and Mutations 6
- Renal cell carcinoma treatment 3
- Co-authors
- Changyi Chen (19 shared papers)Qizhi Yao (18 shared papers)Hong Chai (13 shared papers)Hai T. Tran (12 shared papers)Hui Yang (10 shared papers)John V. Heymach (11 shared papers)Gordon M. Riha (3 shared papers)Min Li (4 shared papers)
- Journals
- Journal of Surgical Research (6 papers)Cancer Research (5 papers)Journal of Clinical Oncology (5 papers)Surgery (4 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Shaoyu Yan
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Cancer Research 274
- Oncology 490
- Hepatology 115
- Molecular Biology 825
- Pulmonary and Respiratory Medicine 325
Countries citing papers authored by Shaoyu Yan
This map shows the geographic impact of Shaoyu 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 Shaoyu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoyu Yan more than expected).
Fields of papers citing papers by Shaoyu Yan
This network shows the impact of papers produced by Shaoyu 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 Shaoyu Yan. The network helps show where Shaoyu Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoyu 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 391 | |
| 2 | 2005 | 218 | |
| 3 | 2011 | 112 | |
| 4 | 2009 | 103 | |
| 5 | 2010 | 86 | |
| 6 | 2008 | 72 | |
| 7 | 2013 | 58 | |
| 8 | 2002 | 58 | |
| 9 | 2013 | 56 | |
| 10 | 2008 | 55 | |
| 11 | 2012 | 55 | |
| 12 | 2006 | 54 | |
| 13 | 2005 | 45 | |
| 14 | 2005 | 44 | |
| 15 | 2011 | 44 | |
| 16 | 2004 | 42 | |
| 17 | 2010 | 41 | |
| 18 | 2019 | 40 | |
| 19 | 2006 | 38 | |
| 20 | 2005 | 38 |
About Shaoyu Yan
Shaoyu Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Psychiatry and Mental health, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (7 papers), Lung Cancer Treatments and Mutations (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Renal cell carcinoma treatment (3 papers), Kruppel-like factors research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Cancer Research (274 citations), Oncology (490 citations), Hepatology (115 citations), Molecular Biology (825 citations) and Pulmonary and Respiratory Medicine (325 citations). Shaoyu Yan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Changyi Chen, Qizhi Yao, Hong Chai, Hai T. Tran, Hui Yang, John V. Heymach, Gordon M. Riha, Min Li, Peter H. Lin and Hao Wang. Their work appears in journals such as Journal of Surgical Research, Cancer Research, Journal of Clinical Oncology, Surgery and Biochemical and Biophysical Research Communications.
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.