Shengda Lin
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Aging top 10%
Papers in
-
- Congenital heart defects research 3
- Wnt/β-catenin signaling in development and cancer 3
- Developmental Biology and Gene Regulation 3
- TGF-β signaling in diseases 3
- CRISPR and Genetic Engineering 3
-
- Telomeres, Telomerase, and Senescence 3
- Co-authors
- Diane C. Slusarski (5 shared papers)Steven E. Artandi (3 shared papers)Alina Garbuzov (2 shared papers)Chandresh R. Gajera (2 shared papers)Lü Chen (2 shared papers)Trudi A. Westfall (3 shared papers)Elisabete Nascimento (1 shared paper)Sui Wang (1 shared paper)
- Journals
- Developmental Biology (2 papers)International Journal of Hydrogen Energy (2 papers)Proceedings of the National Academy of Sciences (2 papers)Gut (2 papers)CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Shengda Lin
19 papers receiving 767 citations
Peers
Comparison fields: 5 of 94
- Hepatology 133
- Aging 27
- Molecular Biology 453
- Cell Biology 91
- Physiology 119
Countries citing papers authored by Shengda Lin
This map shows the geographic impact of Shengda 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 Shengda Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengda Lin more than expected).
Fields of papers citing papers by Shengda Lin
This network shows the impact of papers produced by Shengda 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 Shengda Lin. The network helps show where Shengda Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengda 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 172 | |
| 2 | 2010 | 72 | |
| 3 | 2017 | 71 | |
| 4 | 2018 | 62 | |
| 5 | 2008 | 60 | |
| 6 | 2010 | 57 | |
| 7 | 2015 | 57 | |
| 8 | 2011 | 45 | |
| 9 | 2010 | 35 | |
| 10 | 2022 | 34 | |
| 11 | 2012 | 29 | |
| 12 | 2022 | 27 | |
| 13 | 2013 | 17 | |
| 14 | 2010 | 12 | |
| 15 | 2016 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2024 | 5 | |
| 18 | 2025 | 3 | |
| 19 | 2010 | 3 | |
| 20 | 2011 | 0 |
About Shengda Lin
Shengda Lin is a scholar working on Molecular Biology, Physiology, Hepatology, Inorganic Chemistry and Surgery, having authored 20 papers that have together received 778 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Congenital heart defects research (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Developmental Biology and Gene Regulation (3 papers), Telomeres, Telomerase, and Senescence (3 papers), TGF-β signaling in diseases (3 papers), CRISPR and Genetic Engineering (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Hepatology (133 citations), Aging (27 citations), Molecular Biology (453 citations), Cell Biology (91 citations) and Physiology (119 citations). Shengda Lin has collaborated with scholars based in United States, China and France. Frequent co-authors include Diane C. Slusarski, Steven E. Artandi, Alina Garbuzov, Chandresh R. Gajera, Lü Chen, Trudi A. Westfall, Elisabete Nascimento, Sui Wang, Patrick Neuhöfer and Hilary Griesbach. Their work appears in journals such as Developmental Biology, International Journal of Hydrogen Energy, Proceedings of the National Academy of Sciences, Gut and CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION).
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.