Sui Wang
Impact in
- Molecular Biology top 10%
- Retinal Development and Disorders
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Pluripotent Stem Cells Research
- Aging top 10%
Papers in
-
- Retinal Development and Disorders 10
- Coenzyme Q10 studies and effects 5
- CRISPR and Genetic Engineering 5
- Genetics 12
- Diabetes and associated disorders 5
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Constance L. Cepko (6 shared papers)Guoqiang Gu (7 shared papers)Mark M. Emerson (2 shared papers)Yanwen Xu (5 shared papers)Mark A. Magnuson (3 shared papers)Yuval Dor (2 shared papers)Palle Serup (2 shared papers)Aizhen Zhao (3 shared papers)
- Journals
- Developmental Cell (3 papers)Developmental Biology (3 papers)Archives of Biochemistry and Biophysics (2 papers)Cell (2 papers)Development (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Sui Wang
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.0k
- Aging 27
- Hepatology 105
- Surgery 520
- Genetics 317
Countries citing papers authored by Sui Wang
This map shows the geographic impact of Sui Wang'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 Sui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sui Wang more than expected).
Fields of papers citing papers by Sui Wang
This network shows the impact of papers produced by Sui Wang. 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 Sui Wang. The network helps show where Sui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sui Wang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 213 | |
| 2 | 2018 | 169 | |
| 3 | 2014 | 141 | |
| 4 | 2009 | 137 | |
| 5 | 2009 | 108 | |
| 6 | 2008 | 72 | |
| 7 | 2011 | 70 | |
| 8 | 2016 | 66 | |
| 9 | 2022 | 65 | |
| 10 | 2018 | 64 | |
| 11 | 2007 | 57 | |
| 12 | 2021 | 53 | |
| 13 | 2024 | 48 | |
| 14 | 1998 | 43 | |
| 15 | 2018 | 42 | |
| 16 | 2019 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 2004 | 28 | |
| 19 | 2020 | 27 | |
| 20 | 2023 | 24 |
About Sui Wang
Sui Wang is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Surgery and Physiology, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Development and Disorders (10 papers), Pancreatic function and diabetes (7 papers), Photoreceptor and optogenetics research (6 papers), Diabetes and associated disorders (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Coenzyme Q10 studies and effects (5 papers), CRISPR and Genetic Engineering (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Aging (27 citations), Hepatology (105 citations), Surgery (520 citations) and Genetics (317 citations). Sui Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Constance L. Cepko, Guoqiang Gu, Mark M. Emerson, Yanwen Xu, Mark A. Magnuson, Yuval Dor, Palle Serup, Aizhen Zhao, Patrick Neuhöfer and Shengda Lin. Their work appears in journals such as Developmental Cell, Developmental Biology, Archives of Biochemistry and Biophysics, Cell and Development.
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.