Linshan Shang
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Clinical Biochemistry top 10%
Papers in
-
- Endoplasmic Reticulum Stress and Disease 3
- Aldose Reductase and Taurine 2
- Genetics 5
- Co-authors
- David J. Kahler (3 shared papers)Tatiana Kisseleva (3 shared papers)David A. Brenner (3 shared papers)Wendy K. Chung (4 shared papers)Lawrence I. Rothfield (1 shared paper)Jorge Garcı́a-Lara (1 shared paper)Iván Marcos-Campos (1 shared paper)Giuseppe Maria de Peppo (1 shared paper)
- Journals
- Neurogenetics (2 papers)PLoS ONE (2 papers)Journal of Cellular and Molecular Medicine (1 paper)Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesChinaQatar
In The Last Decade
Linshan Shang
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Hepatology 172
- Clinical Biochemistry 61
- Cell Biology 144
- Surgery 348
- Genetics 225
Countries citing papers authored by Linshan Shang
This map shows the geographic impact of Linshan Shang'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 Linshan Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linshan Shang more than expected).
Fields of papers citing papers by Linshan Shang
This network shows the impact of papers produced by Linshan Shang. 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 Linshan Shang. The network helps show where Linshan Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Linshan Shang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2020 | 155 | |
| 3 | 2013 | 145 | |
| 4 | 2017 | 133 | |
| 5 | 2017 | 110 | |
| 6 | 1996 | 89 | |
| 7 | 2010 | 83 | |
| 8 | 2006 | 62 | |
| 9 | 2015 | 58 | |
| 10 | 2013 | 49 | |
| 11 | 2015 | 46 | |
| 12 | 2021 | 41 | |
| 13 | 2021 | 35 | |
| 14 | 2007 | 24 | |
| 15 | 2012 | 19 | |
| 16 | 2008 | 18 | |
| 17 | 2022 | 10 | |
| 18 | 2019 | 7 | |
| 19 | 2022 | 5 | |
| 20 | 2008 | 5 |
About Linshan Shang
Linshan Shang is a scholar working on Cell Biology, Genetics, Clinical Biochemistry, Hepatology and Molecular Biology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Advanced Glycation End Products research (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Pancreatic function and diabetes (2 papers) and Aldose Reductase and Taurine (2 papers). The work is most often cited by research in Hepatology (172 citations), Clinical Biochemistry (61 citations), Cell Biology (144 citations), Surgery (348 citations) and Genetics (225 citations). Linshan Shang has collaborated with scholars based in United States, China and Qatar. Frequent co-authors include David J. Kahler, Tatiana Kisseleva, David A. Brenner, Wendy K. Chung, Lawrence I. Rothfield, Jorge Garcı́a-Lara, Iván Marcos-Campos, Giuseppe Maria de Peppo, Gordana Vunjak‐Novakovic and Darja Marolt. Their work appears in journals such as Neurogenetics, PLoS ONE, Journal of Cellular and Molecular Medicine, Scientific Reports and Biochemical and Biophysical Research Communications.
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.