Jennifer D. Petersen
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Cell Biology top 5%
- Cognitive Neuroscience top 10%
- Biophysics top 1%
- Co-authors
- Daniel ChoquetEric HosyThomas S. ReeseDeepak NairJean‐Baptiste SibaritaGrégory GiannoneAyṣe DöṣemeciLúcia Vinadé
- Topics
- Neuroscience and Neuropharmacology Research (12 papers)Extracellular vesicles in disease (6 papers)Photoreceptor and optogenetics research (5 papers)
- Partner nations
- United StatesFranceHungary
In The Last Decade
Jennifer D. Petersen
29 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 1.0k
- Cell Biology 386
- Cognitive Neuroscience 209
- Biophysics 199
Countries citing papers authored by Jennifer D. Petersen
This map shows the geographic impact of Jennifer D. Petersen'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 D. Petersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer D. Petersen more than expected).
Fields of papers citing papers by Jennifer D. Petersen
This network shows the impact of papers produced by Jennifer D. Petersen. 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 D. Petersen. The network helps show where Jennifer D. Petersen may publish in the future.
Co-authorship network of co-authors of Jennifer D. Petersen
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Petersen. A scholar is included among the top collaborators of Jennifer D. Petersen 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 D. Petersen. Jennifer D. Petersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 44 | |
| 8 | 18 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 41 | |
| 12 | 228 | |
| 13 | 74 | |
| 14 | 74 | |
| 15 | 80 | |
| 16 | Super-Resolution Imaging Reveals That AMPA Receptors Inside Synapses Are Dynamically Organized in Nanodomains Regulated by PSD95breakdown → | 437 |
| 17 | 110 | |
| 18 | 172 | |
| 19 | 31 | |
| 20 | 10 |
About Jennifer D. Petersen
Jennifer D. Petersen is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Biophysics, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Extracellular vesicles in disease (6 papers) and Photoreceptor and optogenetics research (5 papers). The work is most often cited by research in Structural Biology (94 citations), Cellular and Molecular Neuroscience (1.0k citations) and Biophysics (199 citations). Jennifer D. Petersen has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Daniel Choquet, Eric Hosy, Thomas S. Reese, Deepak Nair, Jean‐Baptiste Sibarita, Grégory Giannone, Ayṣe Döṣemeci, Lúcia Vinadé, Xiaobing Chen and Morgan Sheng. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.