Lin Yang
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling
- Inflammasome and immune disorders
Papers in
-
- Sphingolipid Metabolism and Signaling 10
- Fibroblast Growth Factor Research 5
- Oncology 13
- Co-authors
- Liying Li (24 shared papers)Peter W. Groeneveld (2 shared papers)Daniel Polsky (1 shared paper)Andrew J. Epstein (1 shared paper)Feifei Yang (1 shared paper)Le Yang (14 shared papers)Na Chang (15 shared papers)Changyong Li (5 shared papers)
- Journals
- Cell Death and Disease (4 papers)Journal of Hepatology (3 papers)Journal of Medicinal Chemistry (3 papers)Frontiers in Cardiovascular Medicine (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Lin Yang
136 papers receiving 2.5k citations
Lin Yang's Hit Papers
Peers
Comparison fields: 5 of 144
- Hepatology 232
- Molecular Biology 909
- Immunology 269
- Cell Biology 207
- Cardiology and Cardiovascular Medicine 254
Countries citing papers authored by Lin Yang
This map shows the geographic impact of Lin 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 Lin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yang more than expected).
Fields of papers citing papers by Lin Yang
This network shows the impact of papers produced by Lin 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 Lin Yang. The network helps show where Lin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coronary Revascularization Trends in the United States, 2001-2008 Hit paper breakdown → | 2011 | 381 |
| 2 | 2009 | 158 | |
| 3 | 2010 | 113 | |
| 4 | 2013 | 110 | |
| 5 | 2020 | 89 | |
| 6 | 2020 | 88 | |
| 7 | 2018 | 64 | |
| 8 | 2013 | 60 | |
| 9 | 2010 | 54 | |
| 10 | 2019 | 51 | |
| 11 | 2018 | 45 | |
| 12 | 2012 | 45 | |
| 13 | 2021 | 40 | |
| 14 | 2015 | 39 | |
| 15 | 2017 | 39 | |
| 16 | 2010 | 38 | |
| 17 | 2009 | 37 | |
| 18 | 2014 | 37 | |
| 19 | 2008 | 36 | |
| 20 | 2023 | 32 |
About Lin Yang
Lin Yang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cell Biology, having authored 149 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers), Liver physiology and pathology (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), Traditional Chinese Medicine Analysis (5 papers), Immune cells in cancer (5 papers) and Fibroblast Growth Factor Research (5 papers). The work is most often cited by research in Hepatology (232 citations), Molecular Biology (909 citations), Immunology (269 citations), Cell Biology (207 citations) and Cardiology and Cardiovascular Medicine (254 citations). Lin Yang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Liying Li, Peter W. Groeneveld, Daniel Polsky, Andrew J. Epstein, Feifei Yang, Le Yang, Na Chang, Changyong Li, Xuan Zhou and Lei Hou. Their work appears in journals such as Cell Death and Disease, Journal of Hepatology, Journal of Medicinal Chemistry, Frontiers in Cardiovascular Medicine and Scientific Reports.
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.