Congwei Wang
Impact in
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- RNA Research and Splicing
- Heat shock proteins research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
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- Bacterial Genetics and Biotechnology
- Genetic Syndromes and Imprinting
Papers in
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- Neural dynamics and brain function 3
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- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 1
- Heat shock proteins research 1
- Co-authors
- Sebastian Hiller (1 shared paper)Björn M. Burmann (1 shared paper)Anne Spang (4 shared papers)Julie Weidner (3 shared papers)Sumana Srivatsa (1 shared paper)Fabian Schmich (1 shared paper)Niko Beerenwinkel (1 shared paper)Alejandro F. Estrada (1 shared paper)
- Journals
- eLife (2 papers)Nature Structural & Molecular Biology (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Molecular Biology of the Cell (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Congwei Wang
15 papers receiving 408 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 254
- Genetics 69
- Developmental Neuroscience 7
- Structural Biology 4
- Cell Biology 22
Countries citing papers authored by Congwei Wang
This map shows the geographic impact of Congwei 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 Congwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congwei Wang more than expected).
Fields of papers citing papers by Congwei Wang
This network shows the impact of papers produced by Congwei 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 Congwei Wang. The network helps show where Congwei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Congwei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 115 | |
| 2 | 2018 | 90 | |
| 3 | 2014 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2022 | 31 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 17 | |
| 9 | 2017 | 9 | |
| 10 | 2025 | 9 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 4 | |
| 14 | 2018 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2025 | 0 |
About Congwei Wang
Congwei Wang is a scholar working on Cognitive Neuroscience, Molecular Biology, Physiology, Genetics and Molecular Medicine, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Alzheimer's disease research and treatments (3 papers), RNA Research and Splicing (3 papers), Genetic Syndromes and Imprinting (3 papers), Neural dynamics and brain function (3 papers), Ubiquitin and proteasome pathways (2 papers), RNA Interference and Gene Delivery (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Molecular Biology (254 citations), Genetics (69 citations), Developmental Neuroscience (7 citations), Structural Biology (4 citations) and Cell Biology (22 citations). Congwei Wang has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Sebastian Hiller, Björn M. Burmann, Anne Spang, Julie Weidner, Sumana Srivatsa, Fabian Schmich, Niko Beerenwinkel, Alejandro F. Estrada, Cristina Prescianotto‐Baschong and Ravi Jagasia. Their work appears in journals such as eLife, Nature Structural & Molecular Biology, Molecular Therapy — Nucleic Acids, Molecular Biology of the Cell and Cell Reports Medicine.
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.