Lie Yang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
Papers in
-
- Circular RNAs in diseases 5
- Oncology 29
- Colorectal Cancer Surgical Treatments 12
- Colorectal Cancer Screening and Detection 7
- Co-authors
- Zong‐Guang Zhou (46 shared papers)Xiao‐Feng Sun (14 shared papers)Yongyang Yu (23 shared papers)Chaojie Wang (2 shared papers)Jun Gu (2 shared papers)Hongying Chen (2 shared papers)Cun Wang (10 shared papers)Ling Wang (3 shared papers)
In The Last Decade
Lie Yang
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 632
- Oncology 405
- Molecular Biology 720
- Pathology and Forensic Medicine 122
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by Lie Yang
This map shows the geographic impact of Lie Yang'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 Lie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lie Yang more than expected).
Fields of papers citing papers by Lie Yang
This network shows the impact of papers produced by Lie Yang. 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 Lie Yang. The network helps show where Lie Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lie Yang, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 168 | |
| 2 | 2009 | 165 | |
| 3 | 2015 | 67 | |
| 4 | 2015 | 62 | |
| 5 | 2012 | 56 | |
| 6 | 2022 | 47 | |
| 7 | 2011 | 43 | |
| 8 | 2016 | 37 | |
| 9 | 2016 | 36 | |
| 10 | 2013 | 33 | |
| 11 | 2015 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2017 | 28 | |
| 14 | 2017 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2005 | 24 | |
| 17 | 2015 | 23 | |
| 18 | 2014 | 23 | |
| 19 | 2014 | 22 | |
| 20 | 2020 | 21 |
About Lie Yang
Lie Yang is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (13 papers), Colorectal Cancer Surgical Treatments (12 papers), Genetic factors in colorectal cancer (8 papers), Colorectal Cancer Screening and Detection (7 papers), MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer, Lipids, and Metabolism (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (632 citations), Oncology (405 citations), Molecular Biology (720 citations), Pathology and Forensic Medicine (122 citations) and Pulmonary and Respiratory Medicine (180 citations). Lie Yang has collaborated with scholars based in China, Sweden and Pakistan. Frequent co-authors include Zong‐Guang Zhou, Xiao‐Feng Sun, Yongyang Yu, Chaojie Wang, Jun Gu, Hongying Chen, Cun Wang, Ling Wang, Xiao-Feng Sun and Ling Wang. Their work appears in journals such as Medicine, Oncology, PLoS ONE, Scientific Reports and Molecules.
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.