Justin P. Kinney
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Biomedical Engineering top 10%
- Developmental Neuroscience top 2%
- Co-authors
- Edward S. BoydenJörg ScholvinGiorgia QuadratoZiv M. WilliamsEvan Z. MacoskoSteven A. McCarrollSung Min YangPaola Arlotta
- Topics
- Neural dynamics and brain function (11 papers)Neuroscience and Neural Engineering (10 papers)Advanced Memory and Neural Computing (6 papers)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Justin P. Kinney
13 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 719
- Cellular and Molecular Neuroscience 660
- Cognitive Neuroscience 392
- Biomedical Engineering 337
- Developmental Neuroscience 225
Countries citing papers authored by Justin P. Kinney
This map shows the geographic impact of Justin P. Kinney'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 Justin P. Kinney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin P. Kinney more than expected).
Fields of papers citing papers by Justin P. Kinney
This network shows the impact of papers produced by Justin P. Kinney. 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 Justin P. Kinney. The network helps show where Justin P. Kinney may publish in the future.
Co-authorship network of co-authors of Justin P. Kinney
This figure shows the co-authorship network connecting the top 25 collaborators of Justin P. Kinney. A scholar is included among the top collaborators of Justin P. Kinney 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 Justin P. Kinney. Justin P. Kinney 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 | 17 | |
| 3 | 3 | |
| 4 | Cell diversity and network dynamics in photosensitive human brain organoidsbreakdown → | 870 |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 161 | |
| 8 | 53 | |
| 9 | 30 | |
| 10 | 173 | |
| 11 | 2 | |
| 12 | 15 | |
| 13 | 107 | |
| 14 | Investigation of neurotransmitter diffusion in three- dimensional reconstructions of hippocampal neuropil | 5 |
| 15 | 0 |
About Justin P. Kinney
Justin P. Kinney is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Signal Processing, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (10 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Developmental Neuroscience (225 citations), Cellular and Molecular Neuroscience (660 citations) and Cognitive Neuroscience (392 citations). Justin P. Kinney has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Edward S. Boyden, Jörg Scholvin, Giorgia Quadrato, Ziv M. Williams, Evan Z. Macosko, Steven A. McCarroll, Sung Min Yang, Paola Arlotta, Tuan Nguyen and Daniel R. Berger. Their work appears in journals such as Nature, The Journal of Comparative Neurology and Journal of Neurophysiology.
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.