J. A. Young

4.8k citations
111 papers · 3.7k · h-index 34

Impact in

Papers in

J. A. Young

108 papers receiving 3.5k citations

Peers

J. A. Young
Comparison fields: 5 of 134
  • Sensory Systems 225
  • Cellular and Molecular Neuroscience 702
  • Physiology 836
  • Molecular Biology 2.0k
  • Endocrine and Autonomic Systems 141
Replace John R. Grider with:
John R. Grider United States
Tomio Kanno Japan
Bridget R. Southwell Australia
Steven R. Vigna United States
A. W. Cuthbert United Kingdom
T.J. Williams United States
Karl Bauer Germany
A.M.J. Buchan Canada
Yasuo Sugiura Japan
Scott D. Rogers United States
J. A. Young relative to John R. Grider United States John R. Grider's profile →
Citations per field
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John R. Grider · 1×
Citations per year

Countries citing papers authored by J. A. Young

Since Specialization
Citations

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

Fields of papers citing papers by J. A. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977299
2 1972261
3 1970195
4 1998124
5 1966123
6 2013102
7 200098
8 197593
9 199387
10 201382
11 196782
12 198477
13 199674
14 198768
15 198668
16 197266
17 198564
18 198063
19 197163
20 199058

About J. A. Young

J. A. Young is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 111 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ion channel regulation and function (30 papers), Neuroscience and Neuropharmacology Research (23 papers), Ion Transport and Channel Regulation (19 papers), Salivary Gland Disorders and Functions (14 papers), Lipid Membrane Structure and Behavior (9 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Neuropeptides and Animal Physiology (8 papers) and Erythrocyte Function and Pathophysiology (7 papers). The work is most often cited by research in Sensory Systems (225 citations), Cellular and Molecular Neuroscience (702 citations), Physiology (836 citations), Molecular Biology (2.0k citations) and Endocrine and Autonomic Systems (141 citations). J. A. Young has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David I. Cook, P. Harris, Anuwat Dinudom, Leon H. Schneyer, P. Komwatana, C. A. Schneyer, Ivana Novak, Christopher J. Martin, R. M. Case∥ and D. I. Cook. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, The Journal of Membrane Biology, The Journal of Physiology, American Journal of Physiology-Gastrointestinal and Liver Physiology 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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