Jay Penney

22 papers receiving 2.0k citations

Hit Papers

Modeling Alzheimer’s disease with iPSC-derived brain cells 2019 · 311 citations
3112016202620192022100200300400

Peers

Jay Penney
Comparison fields: 5 of 114
  • Aging 68
  • Developmental Neuroscience 143
  • Neurology 272
  • Biological Psychiatry 81
  • Cellular and Molecular Neuroscience 410
Replace Elisa Motori with:
Elisa Motori Germany
Elisenda Sanz Spain
Shao Li China
Kari R. Hoyt United States
Seungkyu Lee United States
Anand Rane United States
Jordi Vilaplana Spain
Daniel M. Fass United States
Carol A. Miller United States
Ran‐Sook Woo South Korea
Jay Penney relative to Elisa Motori Germany Elisa Motori's profile →
Citations per field
00.5×1.5×2.0×
Elisa Motori · 1×
Citations per year

Countries citing papers authored by Jay Penney

Since Specialization
Citations

This map shows the geographic impact of Jay Penney'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 Jay Penney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Penney more than expected).

Fields of papers citing papers by Jay Penney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Penney. 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 Jay Penney. The network helps show where Jay Penney may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay Penney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Penney Line = papers co-authored together Jay Penney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The road to restoring neural circuits for the treatment of Alzheimer's disease
Hit paper breakdown →
2016418
2 1994355
3
Modeling Alzheimer’s disease with iPSC-derived brain cells
Hit paper breakdown →
2019311
4 2020157
5 2014150
6 2017120
7 201773
8 201071
9 201271
10 202344
11 201438
12 200933
13 202332
14 201731
15 201631
16 202024
17 202323
18 201622
19 202411
20 20083

About Jay Penney

Jay Penney is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Cell Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Neurobiology and Insect Physiology Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Aging (68 citations), Developmental Neuroscience (143 citations), Neurology (272 citations), Biological Psychiatry (81 citations) and Cellular and Molecular Neuroscience (410 citations). Jay Penney has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Li‐Huei Tsai, Rebecca G. Canter, William T. Ralvenius, Najah T. Nassif, William R. Engels, Gregory B. Gloor, Subrata Pal, Kazuya Tsurudome, Ling Pan and Oleg Kritskiy. Their work appears in journals such as Neuron, Journal of Neuroscience, Nature Communications, The Journal of Cell Biology and Cell Reports.

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.

Explore authors with similar magnitude of impact