Ling Yang
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Epidemiology top 1%
- Liver Disease Diagnosis and Treatment
Papers in
-
- Hedgehog Signaling Pathway Studies 15
- Gut microbiota and health 13
- Epigenetics and DNA Methylation 11
- Epidemiology 37
- Liver Disease Diagnosis and Treatment 31
- Co-authors
- Ekihiro Seki (13 shared papers)Huikuan Chu (29 shared papers)Kouichi Miura (3 shared papers)Nico van Rooijen (2 shared papers)Hirohide Ohnishi (2 shared papers)Jingwu Xie (11 shared papers)Bernd Schnabl (6 shared papers)Guorui Xie (3 shared papers)
- Journals
- Hepatology (8 papers)Journal of Hepatology (4 papers)Journal of Cereal Science (4 papers)Frontiers in Medicine (4 papers)Carbohydrate Polymers (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ling Yang
200 papers receiving 6.8k citations
Ling Yang's Hit Papers
Peers
Comparison fields: 5 of 157
- Hepatology 810
- Epidemiology 1.8k
- Cancer Research 565
- Molecular Biology 2.5k
- Cell Biology 429
Countries citing papers authored by Ling Yang
This map shows the geographic impact of Ling 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 Ling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yang more than expected).
Fields of papers citing papers by Ling Yang
This network shows the impact of papers produced by Ling 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 Ling Yang. The network helps show where Ling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hepatic recruitment of macrophages promotes nonalcoholic steatohepatitis through CCR2 Hit paper breakdown → | 2012 | 426 |
| 2 | 2009 | 287 | |
| 3 | 2018 | 270 | |
| 4 | 2012 | 246 | |
| 5 | 2013 | 223 | |
| 6 | 2020 | 216 | |
| 7 | 2006 | 213 | |
| 8 | 2017 | 169 | |
| 9 | 2019 | 166 | |
| 10 | 2018 | 162 | |
| 11 | 2012 | 144 | |
| 12 | 2014 | 143 | |
| 13 | 2013 | 134 | |
| 14 | 2020 | 123 | |
| 15 | 2021 | 108 | |
| 16 | 2000 | 108 | |
| 17 | 2018 | 92 | |
| 18 | 2014 | 89 | |
| 19 | 2005 | 89 | |
| 20 | 2018 | 85 |
About Ling Yang
Ling Yang is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Hepatology, having authored 214 papers that have together received 6.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (31 papers), Hedgehog Signaling Pathway Studies (15 papers), Gut microbiota and health (13 papers), Epigenetics and DNA Methylation (11 papers), Liver physiology and pathology (9 papers), Ruminant Nutrition and Digestive Physiology (8 papers), Cancer-related molecular mechanisms research (8 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Hepatology (810 citations), Epidemiology (1.8k citations), Cancer Research (565 citations), Molecular Biology (2.5k citations) and Cell Biology (429 citations). Ling Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ekihiro Seki, Huikuan Chu, Kouichi Miura, Nico van Rooijen, Hirohide Ohnishi, Jingwu Xie, Bernd Schnabl, Guorui Xie, Yi Duan and Xiaohua Hou. Their work appears in journals such as Hepatology, Journal of Hepatology, Journal of Cereal Science, Frontiers in Medicine and Carbohydrate Polymers.
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.