Sa Lv

1.6k citations
24 papers · 1.3k · h-index 14

Impact in

  • Hepatology top 2%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
  • Genetics top 2%
    • Mesenchymal stem cell research

Papers in

    • Liver Diseases and Immunity 3
    • Liver Disease and Transplantation 3
    • Hepatitis C virus research 2
    • Drug-Induced Hepatotoxicity and Protection 5

Sa Lv

23 papers receiving 1.2k citations

Peers

Sa Lv
Comparison fields: 5 of 85
  • Hepatology 484
  • Genetics 447
  • Surgery 407
  • Epidemiology 264
  • Neurology 64
Replace Federico Moriconi with:
Federico Moriconi Germany
Kerstin Abshagen Germany
Yutaka Yata Japan
Luoqianhui Wang China
Kazunori Kawaguchi Japan
Jun Lin Qian China
Donglei Zhang China
Michelle Melino Australia
Angela M. Djanani Austria
Tomohiro Kato Japan
Sa Lv relative to Federico Moriconi Germany Federico Moriconi's profile →
Citations per field
00.5×2×4×6×8×9.1×
Federico Moriconi · 1×
Citations per year

Countries citing papers authored by Sa Lv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sa Lv Line = papers co-authored together Sa Lv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012300
2 2012296
3 2013165
4 2010110
5 2014100
6 200756
7 200945
8 201131
9 200924
10 200724
11 200822
12 201420
13 201317
14 201214
15 201311
16 200910
17 20089
18 20186
19 20205
20 20235

About Sa Lv

Sa Lv is a scholar working on Hepatology, Pharmacology, Epidemiology, Neurology and Immunology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver Diseases and Immunity (3 papers), Liver Disease and Transplantation (3 papers), Hepatitis B Virus Studies (3 papers), Barrier Structure and Function Studies (3 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hepatology (484 citations), Genetics (447 citations), Surgery (407 citations), Epidemiology (264 citations) and Neurology (64 citations). Sa Lv has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zheng Zhang, Junliang Fu, Ming Shi, Hu Lin, Ruonan Xu, Hua Geng, Fu‐Sheng Wang, Zhengsheng Zou, Liming Chen and Hong-Li Song. Their work appears in journals such as BMC Gastroenterology, Journal of Proteome Research, Journal of Gastroenterology and Hepatology, Drug Design Development and Therapy and Liver International.

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.

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