Shaoli You
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Liver physiology and pathology
- Pharmacology top 10%
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Hepatology 28
- Liver Disease and Transplantation 20
- Liver physiology and pathology 6
- Epidemiology 21
- Liver Disease Diagnosis and Treatment 20
- Hepatitis B Virus Studies 3
- Co-authors
- Shaojie Xin (23 shared papers)Bing Zhu (23 shared papers)Zhihong Wan (9 shared papers)Hong Zang (8 shared papers)Hongling Liu (13 shared papers)Yihui Rong (9 shared papers)Aimin Zhang (3 shared papers)Fangfang Liu (4 shared papers)
- Journals
- Scientific Reports (4 papers)Hepatology International (3 papers)Advances in experimental medicine and biology (1 paper)Drug Design Development and Therapy (1 paper)Hepatology Research (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Shaoli You
29 papers receiving 264 citations
Peers
Comparison fields: 5 of 48
- Hepatology 203
- Pharmacology 44
- Epidemiology 174
- Nephrology 23
- Cancer Research 20
Countries citing papers authored by Shaoli You
This map shows the geographic impact of Shaoli You'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 Shaoli You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoli You more than expected).
Fields of papers citing papers by Shaoli You
This network shows the impact of papers produced by Shaoli You. 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 Shaoli You. The network helps show where Shaoli You may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoli You, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 38 | |
| 2 | 2016 | 23 | |
| 3 | 2012 | 21 | |
| 4 | 2015 | 20 | |
| 5 | 2015 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 19 | |
| 8 | 2016 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 14 | |
| 11 | 2018 | 11 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2015 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Shaoli You
Shaoli You is a scholar working on Hepatology, Epidemiology, Surgery, Pharmacology and Immunology, having authored 32 papers that have together received 271 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Liver Disease and Transplantation (20 papers), Organ Transplantation Techniques and Outcomes (9 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Liver physiology and pathology (6 papers), Hepatitis B Virus Studies (3 papers), MicroRNA in disease regulation (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Hepatology (203 citations), Pharmacology (44 citations), Epidemiology (174 citations), Nephrology (23 citations) and Cancer Research (20 citations). Shaoli You has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Shaojie Xin, Bing Zhu, Zhihong Wan, Hong Zang, Hongling Liu, Yihui Rong, Aimin Zhang, Fangfang Liu, Yi‐Chen Wu and Zhongping Duan. Their work appears in journals such as Scientific Reports, Hepatology International, Advances in experimental medicine and biology, Drug Design Development and Therapy and Hepatology Research.
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.