Karen Wang
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Jonathan D. KennyYingxi LinDaniel M. RamosEmery N. BrownMatthew WilsonChrista J. Van DortShu ZhengDaniel P. Zachs
- Topics
- Neural dynamics and brain function (4 papers)Photoreceptor and optogenetics research (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United StatesKuwait
In The Last Decade
Karen Wang
13 papers receiving 368 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 202
- Cellular and Molecular Neuroscience 130
- Molecular Biology 106
- Endocrine and Autonomic Systems 97
- Experimental and Cognitive Psychology 51
Countries citing papers authored by Karen Wang
This map shows the geographic impact of Karen 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 Karen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Wang more than expected).
Fields of papers citing papers by Karen Wang
This network shows the impact of papers produced by Karen 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 Karen Wang. The network helps show where Karen Wang may publish in the future.
Co-authorship network of co-authors of Karen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Wang. A scholar is included among the top collaborators of Karen Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karen Wang. Karen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 59 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | Scale dependence of flow structures in electroconvection | 2 |
| 10 | 8 | |
| 11 | 6 | |
| 12 | 208 | |
| 13 | 36 |
About Karen Wang
Karen Wang is a scholar working on Obstetrics and Gynecology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 374 indexed citations. Recurring topics across this work include Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (97 citations), Cognitive Neuroscience (202 citations) and Cellular and Molecular Neuroscience (130 citations). Karen Wang has collaborated with scholars based in United States and Kuwait. Frequent co-authors include Jonathan D. Kenny, Yingxi Lin, Daniel M. Ramos, Emery N. Brown, Matthew Wilson, Christa J. Van Dort, Shu Zheng, Daniel P. Zachs, Rebecca R. Goldblum and Michael A. Nolan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.