Jay Penney

22 papers receiving 2.1k citations

Jay Penney's Hit Papers

Modeling Alzheimer’s disease with iPSC-derived brain cells 2019 · 323 citations
3230+3+6Years since publication100200300400

Peers

Jay Penney
Comparison fields: 5 of 110
  • Aging 65
  • Developmental Neuroscience 138
  • Neurology 258
  • Biological Psychiatry 69
  • Cellular and Molecular Neuroscience 398
Replace Elisa Motori with:
Elisa Motori Germany
Elisenda Sanz Spain
Seungkyu Lee United States
Kari R. Hoyt United States
Jordi Vilaplana Spain
Shyan‐Yuan Kao United States
Daniel M. Fass United States
Heather Mortiboys United Kingdom
Peisu Zhang United States
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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 →
2016430
2 1994355
3
Modeling Alzheimer’s disease with iPSC-derived brain cells
Hit paper breakdown →
2019323
4 2020163
5 2014151
6 2017125
7 201774
8 201071
9 201271
10 202349
11 202338
12 201438
13 201733
14 200933
15 201631
16 202327
17 202024
18 201622
19 202414
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 2.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Neurobiology and Insect Physiology Research (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Cellular transport and secretion (3 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (65 citations), Developmental Neuroscience (138 citations), Neurology (258 citations), Biological Psychiatry (69 citations) and Cellular and Molecular Neuroscience (398 citations). Jay Penney has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Li‐Huei Tsai, Rebecca G. Canter, William T. Ralvenius, Gregory B. Gloor, Subrata Pal, William R. Engels, Najah T. Nassif, Kazuya Tsurudome, Ling Pan and Ping‐Chieh Pao. Their work appears in journals such as Neuron, Nature Communications, Journal of Neuroscience, Cell Reports and Advanced Materials.

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.

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