Peter Jukkola
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Neurology top 5%
- Developmental Neuroscience top 5%
- Physiology
- Co-authors
- Chen GuAkiko NishiyamaElena A. KharlamovKevin M. KellyYuanzheng GuDana M. McTigueRyusuke SuzukiDavid R. Serwanski
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Neurogenesis and neuroplasticity mechanisms (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Cell Biology
- Partner nations
- United StatesFrance
In The Last Decade
Peter Jukkola
20 papers receiving 691 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 300
- Molecular Biology 248
- Neurology 155
- Developmental Neuroscience 152
- Physiology 135
Countries citing papers authored by Peter Jukkola
This map shows the geographic impact of Peter Jukkola'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 Peter Jukkola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Jukkola more than expected).
Fields of papers citing papers by Peter Jukkola
This network shows the impact of papers produced by Peter Jukkola. 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 Peter Jukkola. The network helps show where Peter Jukkola may publish in the future.
Co-authorship network of co-authors of Peter Jukkola
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jukkola. A scholar is included among the top collaborators of Peter Jukkola 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 Peter Jukkola. Peter Jukkola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 124 | |
| 5 | 41 | |
| 6 | 14 | |
| 7 | 46 | |
| 8 | 18 | |
| 9 | 76 | |
| 10 | 38 | |
| 11 | 18 | |
| 12 | 29 | |
| 13 | 38 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 21 | |
| 17 | 81 | |
| 18 | 8 | |
| 19 | 27 | |
| 20 | 54 |
About Peter Jukkola
Peter Jukkola is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 696 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurogenesis and neuroplasticity mechanisms (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (152 citations), Neurology (155 citations) and Cellular and Molecular Neuroscience (300 citations). Peter Jukkola has collaborated with scholars based in United States and France. Frequent co-authors include Chen Gu, Akiko Nishiyama, Elena A. Kharlamov, Kevin M. Kelly, Yuanzheng Gu, Dana M. McTigue, Ryusuke Suzuki, David R. Serwanski, Amy E. Lovett‐Racke and Joshua Barry. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Cell Biology.
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.