Jennifer A. Guidera
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Developmental Neuroscience top 10%
- Anesthesiology and Pain Medicine top 10%
- Endocrine and Autonomic Systems
- Co-authors
- Ksenia VlasovJunZhu PeiKen SoltEmery N. BrownJustin T. LeeNorman E. TaylorJonathan D. KennyEdward S. Boyden
- Topics
- Neuroscience and Neuropharmacology Research (4 papers)Neural dynamics and brain function (3 papers)Memory and Neural Mechanisms (3 papers)
- Journals
- NatureProceedings of the National Academy of SciencesIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesIranTürkiye
In The Last Decade
Jennifer A. Guidera
8 papers receiving 352 citations
Peers
Comparison fields: 5 of 62
- Cognitive Neuroscience 232
- Cellular and Molecular Neuroscience 171
- Developmental Neuroscience 51
- Anesthesiology and Pain Medicine 48
- Endocrine and Autonomic Systems 43
Countries citing papers authored by Jennifer A. Guidera
This map shows the geographic impact of Jennifer A. Guidera'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 Jennifer A. Guidera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Guidera more than expected).
Fields of papers citing papers by Jennifer A. Guidera
This network shows the impact of papers produced by Jennifer A. Guidera. 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 Jennifer A. Guidera. The network helps show where Jennifer A. Guidera may publish in the future.
Co-authorship network of co-authors of Jennifer A. Guidera
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Guidera. A scholar is included among the top collaborators of Jennifer A. Guidera 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 Jennifer A. Guidera. Jennifer A. Guidera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 16 | |
| 3 | 14 | |
| 4 | 35 | |
| 5 | 6 | |
| 6 | 35 | |
| 7 | 183 | |
| 8 | 37 |
About Jennifer A. Guidera
Jennifer A. Guidera is a scholar working on Anesthesiology and Pain Medicine, Cognitive Neuroscience and Developmental Neuroscience, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neural dynamics and brain function (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Cognitive Neuroscience (232 citations) and Cellular and Molecular Neuroscience (171 citations). Jennifer A. Guidera has collaborated with scholars based in United States, Iran and Türkiye. Frequent co-authors include Ksenia Vlasov, JunZhu Pei, Ken Solt, Emery N. Brown, Justin T. Lee, Norman E. Taylor, Jonathan D. Kenny, Edward S. Boyden, Christa J. Van Dort and Eric N. Jacobsen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and IEEE Transactions on Biomedical Engineering.
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.