James D. Young

17 total papers · 557 total citations
12 papers, 456 citations indexed

About

James D. Young is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, James D. Young has authored 12 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Infectious Diseases. Recurrent topics in James D. Young's work include Adenosine and Purinergic Signaling (4 papers), S100 Proteins and Annexins (3 papers) and RNA Interference and Gene Delivery (2 papers). James D. Young is often cited by papers focused on Adenosine and Purinergic Signaling (4 papers), S100 Proteins and Annexins (3 papers) and RNA Interference and Gene Delivery (2 papers). James D. Young collaborates with scholars based in Canada, Hong Kong and United States. James D. Young's co-authors include Carol E. Cass, Stephen A. Baldwin, R. Loch Macdonald, Michael G. A. Grace, Bryce Weir, Delores Mowles, M. Gary Nicholls, John D. Young, Andrew Young and Cheng-Yeu Wu and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Journal of Neurochemistry.

In The Last Decade

James D. Young

12 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James D. Young 164 130 84 57 46 12 456
Simon McHugh 127 0.8× 79 0.6× 70 0.8× 25 0.4× 18 0.4× 16 498
Alexandre Brodovitch 168 1.0× 104 0.8× 26 0.3× 77 1.4× 30 0.7× 19 465
Donald W. Lawrence 209 1.3× 48 0.4× 39 0.5× 24 0.4× 39 0.8× 15 543
Eduard Gracia 204 1.2× 246 1.9× 64 0.8× 19 0.3× 79 1.7× 16 468
Diane J. Sutcliffe 219 1.3× 48 0.4× 23 0.3× 14 0.2× 25 0.5× 19 404
Pratap Gadangi 88 0.5× 158 1.2× 58 0.7× 37 0.6× 34 0.7× 8 435
Sarah Sargin 181 1.1× 178 1.4× 58 0.7× 9 0.2× 22 0.5× 11 459
Raisa Persidsky 152 0.9× 41 0.3× 72 0.9× 31 0.5× 67 1.5× 9 544
John Meshki 256 1.6× 63 0.5× 63 0.8× 8 0.1× 107 2.3× 18 474
Xiaotong Cheng 150 0.9× 262 2.0× 34 0.4× 19 0.3× 20 0.4× 11 490

Countries citing papers authored by James D. Young

Since Specialization
Citations

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

Fields of papers citing papers by James D. Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James D. Young

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Young. A scholar is included among the top collaborators of James D. Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James D. Young. James D. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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