Susan J. Boyd

26 total papers · 1.3k total citations
21 papers, 966 citations indexed

About

Susan J. Boyd is a scholar working on Epidemiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Susan J. Boyd has authored 21 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Pharmacology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Susan J. Boyd's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Cannabis and Cannabinoid Research (6 papers) and Substance Abuse Treatment and Outcomes (5 papers). Susan J. Boyd is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Cannabis and Cannabinoid Research (6 papers) and Substance Abuse Treatment and Outcomes (5 papers). Susan J. Boyd collaborates with scholars based in United States, Canada and South Korea. Susan J. Boyd's co-authors include David A. Gorelick, Marc L. Copersino, Stephen J. Heishman, Marilyn A. Huestis, John Dermand, Michael S. Simmons, Donald P. Tashkin, Eric T. Moolchan, Adam M. Leventhal and Andrew J. Waters and has published in prestigious journals such as Biological Psychiatry, Psychopharmacology and Addiction.

In The Last Decade

Susan J. Boyd

20 papers receiving 925 citations

Author Peers

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

Author						Papers	Cites
Susan J. Boyd	400	343	222	178	154	21	966
Kevin P. Hill	695 1.7×	247 0.7×	239 1.1×	144 0.8×	98 0.6×	31	1.2k
Nicolas J. Schlienz	581 1.5×	169 0.5×	191 0.9×	156 0.9×	68 0.4×	33	862
Thomas Kosten	188 0.5×	324 0.9×	371 1.7×	93 0.5×	134 0.9×	29	1.1k
Amir Zaimovic	251 0.6×	315 0.9×	167 0.8×	115 0.6×	76 0.5×	27	1.2k
Lisa Blecha	333 0.8×	252 0.7×	123 0.6×	68 0.4×	118 0.8×	33	839
Susan M. Learned	253 0.6×	258 0.8×	146 0.7×	109 0.6×	174 1.1×	22	1.1k
David M. McDowell	311 0.8×	381 1.1×	271 1.2×	42 0.2×	90 0.6×	23	1.2k
Rebecca Crean	584 1.5×	415 1.2×	170 0.8×	54 0.3×	67 0.4×	17	1.1k
John R. Hughes	328 0.8×	214 0.6×	302 1.4×	479 2.7×	176 1.1×	12	1.1k
Michelle Sexton	898 2.2×	160 0.5×	211 1.0×	101 0.6×	88 0.6×	26	1.1k

Countries citing papers authored by Susan J. Boyd

Since Specialization

Citations

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

Fields of papers citing papers by Susan J. Boyd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan J. Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Boyd. A scholar is included among the top collaborators of Susan J. Boyd 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 Susan J. Boyd. Susan J. Boyd 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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