Dendritic Regression
Dendritic Regression is a computational modeling framework that quantifies structural and functional degradation in neuronal dendritic arbors by regressing morphological complexity against neurobiological covariates.
50
Publications
3.5K
Citations
125
Authors
63
Institutions
Publications per year
2017–2026
10
Parents
50
Regulation of motor neuron dendrite growth by NMDA receptor activation
Robert G. Kalb · Development · 1994 · 180 citations
1–5 of 50
125
6
h-index
University at Buffalo, State University of New York, United States
5 publications · 115 citations
5
h-index
4
h-index
4
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4
h-index
1–5 of 125
63
University at Buffalo, State University of New York
Buffalo, United States
8 h-index
15 publications
431 citations
University of Arizona
Tucson, United States
6 h-index
14 publications
901 citations

University of Rochester
Rochester, United States
5 h-index
8 publications
846 citations
University of Oregon
Eugene, United States
5 h-index
9 publications
232 citations

Shenzhen University
Shenzhen, China
4 h-index
10 publications
204 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
2 publications
36 citations
Freie Universität Berlin
Berlin, Germany
2 h-index
3 publications
97 citations
Colorado State University
Fort Collins, United States
2 h-index
6 publications
2.1K citations
1–8 of 63
11 publications · 1.5K citations
11
h-index
4 publications · 519 citations
4
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Repository · 3 publications · 38 citations
3
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ACER · 3 publications · 55 citations
3
h-index
3 publications · 135 citations
3
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1–5