Kevin W. Kelley
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 5
- Neurology top 0.5%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Biological Psychiatry top 2%
- Behavioral Neuroscience top 5%
-
- Neuroscience and Neuropharmacology Research 2
-
- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 3
-
- Genetics and Neurodevelopmental Disorders 3
-
- Neural dynamics and brain function 2
-
- MicroRNA in disease regulation 2
Kevin W. Kelley
20 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Developmental Neuroscience 993
- Neurology 904
- Biological Psychiatry 214
- Behavioral Neuroscience 163
- Cellular and Molecular Neuroscience 786
Countries citing papers authored by Kevin W. Kelley
This map shows the geographic impact of Kevin W. Kelley'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 Kevin W. Kelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin W. Kelley more than expected).
Fields of papers citing papers by Kevin W. Kelley
This network shows the impact of papers produced by Kevin W. Kelley. 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 Kevin W. Kelley. The network helps show where Kevin W. Kelley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin W. Kelley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Human assembloid model of the ascending neural sensory pathwaybreakdown → | 2025 | 21 |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 20 | |
| 5 | 2023 | 68 | |
| 6 | 2021 | 146 | |
| 7 | Generation of Functional Human 3D Cortico-Motor Assembloidsbreakdown → | 2020 | 362 |
| 8 | Astrocyte-derived interleukin-33 promotes microglial synapse engulfment and neural circuit developmentbreakdown → | 2018 | 464 |
| 9 | 2018 | 115 | |
| 10 | 2018 | 89 | |
| 11 | Human hippocampal neurogenesis drops sharply in children to undetectable levels in adultsbreakdown → | 2018 | 967 |
| 12 | 2017 | 30 | |
| 13 | 2014 | 61 | |
| 14 | 2014 | 222 | |
| 15 | 2013 | 55 | |
| 16 | 2001 | 9 | |
| 17 | Interleukin-1 signaling in mouse astrocytes involves Akt: a study with interleukin-4 and IL-10. | 2000 | 27 |
| 18 | 1997 | 20 | |
| 19 | 1995 | 245 | |
| 20 | The Home Planet | 1991 | 17 |
About Kevin W. Kelley
Kevin W. Kelley is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (993 citations), Neurology (904 citations) and Biological Psychiatry (214 citations). Kevin W. Kelley has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Sergiu P. Pașca, Michael C. Oldham, Anna V. Molofsky, Mercedes F. Paredes, Arturo Álvarez-Buylla, Hiromi Nakao-Inoue, Arnold R. Kriegstein, Shawn F. Sorrells, Gary W. Mathern and D. J. James.
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.