Aiting Yang
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in ⓘ
- Hepatology 22
- Liver physiology and pathology 18
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 15
- Hepatitis B Virus Studies 3
- Co-authors
- Hong You (25 shared papers)Wei Chen (15 shared papers)Jidong Jia (12 shared papers)Xuzhen Yan (14 shared papers)Detlef Schuppan (2 shared papers)Yury Popov (1 shared paper)Anjian Xu (9 shared papers)Min Cong (10 shared papers)
- Journals
- Journal of Cellular Physiology (2 papers)Hepatology (2 papers)Biochemical and Biophysical Research Communications (2 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Aiting Yang
28 papers receiving 705 citations
Peers
Comparison fields: 5 of 75
- Hepatology 300
- Epidemiology 255
- Cancer Research 92
- Immunology 102
- Cell Biology 75
Countries citing papers authored by Aiting Yang
This map shows the geographic impact of Aiting 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 Aiting Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiting Yang more than expected).
Fields of papers citing papers by Aiting Yang
This network shows the impact of papers produced by Aiting 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 Aiting Yang. The network helps show where Aiting Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aiting 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 181 | |
| 2 | 2022 | 70 | |
| 3 | 2018 | 68 | |
| 4 | 2017 | 43 | |
| 5 | 2013 | 37 | |
| 6 | 2019 | 30 | |
| 7 | 2010 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2017 | 26 | |
| 10 | 2019 | 26 | |
| 11 | 2019 | 26 | |
| 12 | 2021 | 21 | |
| 13 | 2015 | 19 | |
| 14 | 2023 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2013 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2024 | 8 |
About Aiting Yang
Aiting Yang is a scholar working on Hepatology, Epidemiology, Immunology, Cell Biology and Surgery, having authored 29 papers that have together received 712 indexed citations. Recurring topics across this work include Liver physiology and pathology (18 papers), Liver Disease Diagnosis and Treatment (15 papers), Microbial metabolism and enzyme function (6 papers), Organ Transplantation Techniques and Outcomes (4 papers), Macrophage Migration Inhibitory Factor (4 papers), Pancreatic function and diabetes (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (300 citations), Epidemiology (255 citations), Cancer Research (92 citations), Immunology (102 citations) and Cell Biology (75 citations). Aiting Yang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hong You, Wei Chen, Jidong Jia, Xuzhen Yan, Detlef Schuppan, Yury Popov, Anjian Xu, Min Cong, Tianhui Liu and Wenshan Zhao. Their work appears in journals such as Journal of Cellular Physiology, Hepatology, Biochemical and Biophysical Research Communications, American Journal of Physiology-Gastrointestinal and Liver Physiology and Gene.
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.