Sha Sun
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Microtubule and mitosis dynamics
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- Hereditary Neurological Disorders
Papers in
-
- Endoplasmic Reticulum Stress and Disease 7
- Cellular transport and secretion 7
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- RNA and protein synthesis mechanisms 2
- Protein Tyrosine Phosphatases 1
- Lipid Membrane Structure and Behavior 1
- RNA regulation and disease 1
- Co-authors
- Junjie Hu (6 shared papers)Xin Bian (2 shared papers)Tom A. Rapoport (2 shared papers)Tina Y. Liu (2 shared papers)Robin W. Klemm (2 shared papers)Xiaoyu Hu (3 shared papers)Xinqi Liu (1 shared paper)Miao Zhang (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Current Opinion in Cell Biology (1 paper)Protein & Cell (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sha Sun
8 papers receiving 428 citations
Peers
Comparison fields: 5 of 55
- Cell Biology 282
- Cellular and Molecular Neuroscience 77
- Molecular Biology 261
- Physiology 13
- Clinical Biochemistry 19
Countries citing papers authored by Sha Sun
This map shows the geographic impact of Sha Sun'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 Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Sun more than expected).
Fields of papers citing papers by Sha Sun
This network shows the impact of papers produced by Sha Sun. 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 Sun. The network helps show where Sha Sun may publish in the future.
Co-authors
The 23 scholars most cited alongside Sha Sun, 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 | 2011 | 189 | |
| 2 | 2012 | 92 | |
| 3 | 2015 | 43 | |
| 4 | 2012 | 35 | |
| 5 | 2021 | 30 | |
| 6 | 2015 | 27 | |
| 7 | 2022 | 9 | |
| 8 | 2020 | 7 |
About Sha Sun
Sha Sun is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Cellular transport and secretion (7 papers), Hereditary Neurological Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein Tyrosine Phosphatases (1 paper), Lipid Membrane Structure and Behavior (1 paper), Bacterial Genetics and Biotechnology (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Cell Biology (282 citations), Cellular and Molecular Neuroscience (77 citations), Molecular Biology (261 citations), Physiology (13 citations) and Clinical Biochemistry (19 citations). Sha Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junjie Hu, Xin Bian, Tom A. Rapoport, Tina Y. Liu, Robin W. Klemm, Xiaoyu Hu, Xinqi Liu, Miao Zhang, Xuewu Sui and William A. Prinz. Their work appears in journals such as The Journal of Cell Biology, Proceedings of the National Academy of Sciences, Current Opinion in Cell Biology, Protein & Cell and The International Journal of Biochemistry & Cell Biology.
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.