David G. Shaw

24 total papers · 508 total citations
23 papers, 381 citations indexed

About

David G. Shaw is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David G. Shaw has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David G. Shaw's work include Neuroscience and Neuropharmacology Research (4 papers), Suicide and Self-Harm Studies (3 papers) and Mental Health Treatment and Access (3 papers). David G. Shaw is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Suicide and Self-Harm Studies (3 papers) and Mental Health Treatment and Access (3 papers). David G. Shaw collaborates with scholars based in United Kingdom, United States and Vietnam. David G. Shaw's co-authors include Ba X. Hoang, David A. Brodie, Stephen A. Levine, Phuong Pham, Cuong Hoang, Dawn Walsh, Marcel E. Nimni, Bo Han, Tuan D. Pham and Linda Edwards and has published in prestigious journals such as Journal of Advanced Nursing, International Journal of Nursing Studies and Phytotherapy Research.

In The Last Decade

David G. Shaw

23 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
David G. Shaw 68 58 56 55 45 23 381
Lijun Li 59 0.9× 61 1.1× 40 0.7× 32 0.6× 47 1.0× 50 424
Nancy P. Cummings 45 0.7× 30 0.5× 38 0.7× 81 1.5× 78 1.7× 15 402
Ki Hong Chun 59 0.9× 52 0.9× 59 1.1× 17 0.3× 62 1.4× 24 420
S.L. Snyder 82 1.2× 71 1.2× 91 1.6× 23 0.4× 14 0.3× 17 427
Yong Lim 112 1.6× 33 0.6× 50 0.9× 38 0.7× 29 0.6× 16 433
Tetsuya Mizoue 74 1.1× 51 0.9× 56 1.0× 15 0.3× 61 1.4× 13 417
Agnieszka Pedrycz 46 0.7× 42 0.7× 49 0.9× 29 0.5× 33 0.7× 62 444
Youngha Choi 51 0.8× 61 1.1× 72 1.3× 18 0.3× 38 0.8× 36 385
Huijing Chen 55 0.8× 78 1.3× 54 1.0× 32 0.6× 53 1.2× 31 429
Li Li 94 1.4× 25 0.4× 40 0.7× 36 0.7× 62 1.4× 35 438

Countries citing papers authored by David G. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by David G. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Shaw. 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 David G. Shaw. The network helps show where David G. Shaw may publish in the future.

Co-authorship network of co-authors of David G. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Shaw. A scholar is included among the top collaborators of David G. Shaw 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 David G. Shaw. David G. Shaw 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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