Aoyuan Cui
Impact in
- Biological Psychiatry top 10%
- Aging top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Kruppel-like factors research 3
- Fibroblast Growth Factor Research 3
- Peroxisome Proliferator-Activated Receptors 3
- Epidemiology 13
- Liver Disease Diagnosis and Treatment 10
- Co-authors
- Yu Li (16 shared papers)Yamei Han (10 shared papers)Jing Gao (7 shared papers)Zhengshuai Liu (8 shared papers)Fengguang Ma (8 shared papers)Zhimin Hu (7 shared papers)Yaqian Xue (6 shared papers)Jian‐Gao Fan (2 shared papers)
- Journals
- Diabetes (6 papers)Hepatology (3 papers)Nature Communications (2 papers)Journal of Visualized Experiments (2 papers)Journal of Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Aoyuan Cui
17 papers receiving 947 citations
Peers
Comparison fields: 5 of 89
- Biological Psychiatry 47
- Aging 21
- Epidemiology 400
- Endocrinology, Diabetes and Metabolism 144
- Physiology 219
Countries citing papers authored by Aoyuan Cui
This map shows the geographic impact of Aoyuan Cui'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 Aoyuan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aoyuan Cui more than expected).
Fields of papers citing papers by Aoyuan Cui
This network shows the impact of papers produced by Aoyuan Cui. 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 Aoyuan Cui. The network helps show where Aoyuan Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Aoyuan Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 251 | |
| 2 | 2016 | 140 | |
| 3 | 2017 | 123 | |
| 4 | 2019 | 115 | |
| 5 | 2016 | 101 | |
| 6 | 2021 | 58 | |
| 7 | 2021 | 47 | |
| 8 | 2020 | 42 | |
| 9 | 2018 | 35 | |
| 10 | 2017 | 21 | |
| 11 | 2020 | 18 | |
| 12 | 2024 | 4 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2023 | 0 |
About Aoyuan Cui
Aoyuan Cui is a scholar working on Molecular Biology, Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 18 papers that have together received 960 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Diet, Metabolism, and Disease (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Kruppel-like factors research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Fibroblast Growth Factor Research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Aging (21 citations), Epidemiology (400 citations), Endocrinology, Diabetes and Metabolism (144 citations) and Physiology (219 citations). Aoyuan Cui has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Li, Yamei Han, Jing Gao, Zhengshuai Liu, Fengguang Ma, Zhimin Hu, Yaqian Xue, Jian‐Gao Fan, Qiyong Gong and Zehua Zhao. Their work appears in journals such as Diabetes, Hepatology, Nature Communications, Journal of Visualized Experiments and Journal of Hepatology.
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.