Sha Lin
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 5
- Hepatitis B Virus Studies 3
- Co-authors
- Bo Chen (1 shared paper)Bin Lou (6 shared papers)Feifei Lv (3 shared papers)Weilin Mao (2 shared papers)Siming Lu (2 shared papers)Jian Fan (2 shared papers)Bo Ye (2 shared papers)Yuemei Chen (1 shared paper)
- Journals
- Scientific Reports (3 papers)Medicine (2 papers)International Journal of Infectious Diseases (2 papers)Advanced Healthcare Materials (1 paper)Oncotarget (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sha Lin
30 papers receiving 541 citations
Sha Lin's Hit Papers
Peers
Comparison fields: 5 of 96
- Hepatology 101
- Geriatrics and Gerontology 17
- Infectious Diseases 66
- Epidemiology 117
- Health Informatics 5
Countries citing papers authored by Sha Lin
This map shows the geographic impact of Sha Lin'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 Sha Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Lin more than expected).
Fields of papers citing papers by Sha Lin
This network shows the impact of papers produced by Sha Lin. 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 Sha Lin. The network helps show where Sha Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Lin, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery Hit paper breakdown → | 2024 | 81 |
| 2 | 2014 | 59 | |
| 3 | 2017 | 58 | |
| 4 | 2010 | 52 | |
| 5 | 2016 | 35 | |
| 6 | 2020 | 34 | |
| 7 | 2013 | 33 | |
| 8 | 2021 | 24 | |
| 9 | 2016 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2016 | 15 | |
| 13 | 2022 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2012 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Sha Lin
Sha Lin is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Hepatology and Oncology, having authored 35 papers that have together received 552 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (4 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Forest ecology and management (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Hormonal and reproductive studies (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Hepatology (101 citations), Geriatrics and Gerontology (17 citations), Infectious Diseases (66 citations), Epidemiology (117 citations) and Health Informatics (5 citations). Sha Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bo Chen, Bin Lou, Feifei Lv, Weilin Mao, Siming Lu, Jian Fan, Bo Ye, Yuemei Chen, Shufa Zheng and Yu Chen. Their work appears in journals such as Scientific Reports, Medicine, International Journal of Infectious Diseases, Advanced Healthcare Materials and Oncotarget.
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.