Jessica Lee
- Plant Science top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Biomaterials top 10%
- Molecular Biology
- Co-authors
- Kit L. YamJ. P. LucasThomas R. BielerFei GuoK. N. SubramanianS. ChoiYunki YauValerie C. Wasinger
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Autism Spectrum Disorder Research (3 papers)Memory and Neural Mechanisms (3 papers)
- Cited by
- BiomaterialsBiochemistryNeurology
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaNeuroscience & Biobehavioral Reviews
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jessica Lee
34 papers receiving 703 citations
Peers
Comparison fields: 5 of 135
- Plant Science 185
- Electrical and Electronic Engineering 143
- Mechanical Engineering 115
- Biomaterials 106
- Molecular Biology 98
Countries citing papers authored by Jessica Lee
This map shows the geographic impact of Jessica Lee'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 Jessica Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica Lee more than expected).
Fields of papers citing papers by Jessica Lee
This network shows the impact of papers produced by Jessica Lee. 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 Jessica Lee. The network helps show where Jessica Lee may publish in the future.
Co-authorship network of co-authors of Jessica Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Lee. A scholar is included among the top collaborators of Jessica Lee 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 Jessica Lee. Jessica Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 29 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | MetaPix: Few-Shot Video Retargeting | 2 |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 7 | |
| 12 | 57 | |
| 13 | 7 | |
| 14 | The relationship between blocking and inference in causal learning. | 6 |
| 15 | 12 | |
| 16 | 34 | |
| 17 | 29 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 6 |
About Jessica Lee
Jessica Lee is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 744 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Autism Spectrum Disorder Research (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Biomaterials (106 citations), Biochemistry (33 citations) and Neurology (44 citations). Jessica Lee has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Kit L. Yam, J. P. Lucas, Thomas R. Bieler, Fei Guo, K. N. Subramanian, S. Choi, Yunki Yau, Valerie C. Wasinger, Vijay Yajnik and Emil Chuang. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Neuroscience & Biobehavioral Reviews.
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.