Gentry N. Patrick

4.4k citations
36 papers · 3.5k indexed · 1 hit paper · h-index 23

Gentry N. Patrick

36 papers receiving 3.5k citations

Hit Papers

Conversion of p35 to p25 deregulates Cdk5 activity and pr...1.3k19992026200820174008001.2k

Peers

Gentry N. Patrick
Comparison fields: 5 of 94
  • Cell Biology 1.1k
  • Developmental Neuroscience 271
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 883
  • Molecular Biology 2.2k
Replace Taro Saito with:
Taro Saito Japan
Margareta Nikolić United Kingdom
Veeranna United States
Niranjana D. Amin United States
Sashi Kesavapany United States
Young T. Kwon United States
Richard C. Johnson United States
Gustavo Pigino United States
S. Pablo Sardi United States
Inez Vincent United States
Gentry N. Patrick relative to Taro Saito Japan Taro Saito's profile →
Citations per field
00.5×1.5×2.5×
Taro Saito · 1×
Citations per year

Countries citing papers authored by Gentry N. Patrick

Since Specialization
Citations

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

Fields of papers citing papers by Gentry N. Patrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gentry N. Patrick. 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 Gentry N. Patrick. The network helps show where Gentry N. Patrick may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Gentry N. Patrick, 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 Gentry N. Patrick Line = papers co-authored together Gentry N. Patrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20227
3 20219
4 201728
5 201711
6 20176
7 201715
8 201611
9 201652
10 201541
11 201467
12 201292
13 201258
14 201024
15 201042
16 2010152
17 2009117
18 200688
19 2003166
20 1998263

About Gentry N. Patrick

Gentry N. Patrick is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Physiology, having authored 36 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (17 papers), Genetics and Neurodevelopmental Disorders (9 papers), Mitochondrial Function and Pathology (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Alzheimer's disease research and treatments (7 papers), Cellular transport and secretion (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cell Biology (1.1k citations), Developmental Neuroscience (271 citations), Cellular and Molecular Neuroscience (1.1k citations), Physiology (883 citations) and Molecular Biology (2.2k citations). Gentry N. Patrick has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Lawrence Zukerberg, Margareta Nikolić, Li‐Huei Tsai, Suzanne de la Monte, Pieter Dikkes, Sara M. Lindsay, Li-Huei Tsai, Stevan Djakovic, Young T. Kwon and Peter M. Howley. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Molecular and Cellular Neuroscience, PLoS ONE and Proceedings of the National Academy of Sciences.

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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