Sa Lv
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Epidemiology 15
- Liver Disease Diagnosis and Treatment 13
- Hepatitis B Virus Studies 4
- Hepatology 14
- Liver Disease and Transplantation 7
- Co-authors
- Zheng Zhang (6 shared papers)Junliang Fu (7 shared papers)Ming Shi (4 shared papers)Ruonan Xu (4 shared papers)Hu Lin (4 shared papers)Hua Geng (3 shared papers)Fu‐Sheng Wang (6 shared papers)Zhengsheng Zou (4 shared papers)
- Journals
- BMC Gastroenterology (3 papers)Journal of Proteome Research (2 papers)Journal of Gastroenterology and Hepatology (2 papers)Liver International (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Sa Lv
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Hepatology 544
- Genetics 442
- Surgery 491
- Epidemiology 330
- Pharmacology 76
Countries citing papers authored by Sa Lv
This map shows the geographic impact of Sa Lv'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 Sa Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sa Lv more than expected).
Fields of papers citing papers by Sa Lv
This network shows the impact of papers produced by Sa Lv. 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 Sa Lv. The network helps show where Sa Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Sa Lv, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 276 | |
| 2 | 2012 | 273 | |
| 3 | 2013 | 150 | |
| 4 | 2010 | 104 | |
| 5 | 2014 | 89 | |
| 6 | 2007 | 56 | |
| 7 | 2009 | 45 | |
| 8 | 2011 | 28 | |
| 9 | 2009 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2014 | 19 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 13 | |
| 15 | 2009 | 10 | |
| 16 | 2013 | 10 | |
| 17 | 2008 | 9 | |
| 18 | 2020 | 5 | |
| 19 | 2018 | 5 | |
| 20 | 2023 | 3 |
About Sa Lv
Sa Lv is a scholar working on Epidemiology, Hepatology, Surgery, Pharmacology and Molecular Biology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Hepatitis B Virus Studies (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mesenchymal stem cell research (3 papers) and Barrier Structure and Function Studies (3 papers). The work is most often cited by research in Hepatology (544 citations), Genetics (442 citations), Surgery (491 citations), Epidemiology (330 citations) and Pharmacology (76 citations). Sa Lv has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zheng Zhang, Junliang Fu, Ming Shi, Ruonan Xu, Hu Lin, Hua Geng, Fu‐Sheng Wang, Zhengsheng Zou, Liming Chen and Hongli Song. Their work appears in journals such as BMC Gastroenterology, Journal of Proteome Research, Journal of Gastroenterology and Hepatology, Liver International 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.