Clint E. Young

726 citations
12 papers · 580 · h-index 10

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 8
    • Hereditary Neurological Disorders 1
    • Ion channel regulation and function 3
    • Lipid Membrane Structure and Behavior 2
    • Receptor Mechanisms and Signaling 2
    • Machine Learning in Bioinformatics 1

Clint E. Young

12 papers receiving 568 citations

Peers

Clint E. Young
Comparison fields: 5 of 76
  • Biological Psychiatry 46
  • Cellular and Molecular Neuroscience 318
  • Developmental Neuroscience 46
  • Behavioral Neuroscience 37
  • Cell Biology 108
Replace Alma Rodenas-Ruano with:
Alma Rodenas-Ruano United States
Lesley A. Colgan United States
Robert Waltereit Germany
Barbara Langen Germany
Marilyne Labasque France
Oh‐Bin Kwon South Korea
Katsunori Tajinda United States
João Villares Brazil
Ezekiel P. Carpenter‐Hyland United States
Thiri W. Lin United States
Clint E. Young relative to Alma Rodenas-Ruano United States Alma Rodenas-Ruano's profile →
Citations per field
00.5×1.6×
Alma Rodenas-Ruano · 1×
Citations per year

Countries citing papers authored by Clint E. Young

Since Specialization
Citations

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

Fields of papers citing papers by Clint E. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clint E. Young. 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 Clint E. Young. The network helps show where Clint E. Young may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2011108
2 200590
3 200384
4 200282
5 200464
6 200448
7 200431
8 200528
9 200521
10 200320
11 20003
12 20001

About Clint E. Young

Clint E. Young is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Physiology and Social Psychology, having authored 12 papers that have together received 580 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (3 papers), Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (2 papers), Receptor Mechanisms and Signaling (2 papers), Hereditary Neurological Disorders (1 paper), Pain Mechanisms and Treatments (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biological Psychiatry (46 citations), Cellular and Molecular Neuroscience (318 citations), Developmental Neuroscience (46 citations), Behavioral Neuroscience (37 citations) and Cell Biology (108 citations). Clint E. Young has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include William G. Honer, Alasdair M. Barr, Charles R. Yang, Anthony G. Phillips, Ken Sawada, Peter Falkai, Andrew J. Dwork, Masato Nakamura, Kunimasa Arima and Shoukat Dedhar. Their work appears in journals such as Journal of Neuroscience, European Journal of Neuroscience, Schizophrenia Research, The International Journal of Neuropsychopharmacology and Pain.

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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