Brian J. Sherman

64 total papers · 905 total citations
35 papers, 606 citations indexed

About

Brian J. Sherman is a scholar working on Pharmacology, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Brian J. Sherman has authored 35 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 13 papers in Epidemiology and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Brian J. Sherman's work include Cannabis and Cannabinoid Research (17 papers), Substance Abuse Treatment and Outcomes (13 papers) and Prenatal Substance Exposure Effects (7 papers). Brian J. Sherman is often cited by papers focused on Cannabis and Cannabinoid Research (17 papers), Substance Abuse Treatment and Outcomes (13 papers) and Prenatal Substance Exposure Effects (7 papers). Brian J. Sherman collaborates with scholars based in United States and Israel. Brian J. Sherman's co-authors include Aimee L. McRae‐Clark, Nathaniel L. Baker, Kevin M. Gray, Richard A. Chole, Susan C. Sonne, Rachel L. Tomko, Therese K. Killeen, Kathleen T. Brady, Gregory L. Sahlem and Jane E. Joseph and has published in prestigious journals such as CHEST Journal, Journal of Affective Disorders and Psychopharmacology.

In The Last Decade

Brian J. Sherman

33 papers receiving 593 citations

Author Peers

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

Author Last Decade Papers Cites
Brian J. Sherman 326 184 127 125 111 35 606
Mercè Balcells‐Oliveró 305 0.9× 167 0.9× 115 0.9× 98 0.8× 75 0.7× 43 546
Philip Lau 144 0.4× 267 1.5× 140 1.1× 121 1.0× 74 0.7× 23 573
Michael J. Mancino 100 0.3× 217 1.2× 148 1.2× 101 0.8× 58 0.5× 40 659
Gerardo Flórez 119 0.4× 175 1.0× 143 1.1× 217 1.7× 41 0.4× 48 638
Natasha E. Wade 171 0.5× 90 0.5× 59 0.5× 169 1.4× 114 1.0× 50 521
Kenneth M. Dürsteler 98 0.3× 157 0.9× 69 0.5× 146 1.2× 57 0.5× 57 687
MARTIN H. KEELER 177 0.5× 97 0.5× 124 1.0× 194 1.6× 34 0.3× 35 621
Kenneth M. Dürsteler‐MacFarland 89 0.3× 217 1.2× 157 1.2× 85 0.7× 51 0.5× 37 603
Tam T. Nguyen‐Louie 117 0.4× 186 1.0× 120 0.9× 97 0.8× 157 1.4× 22 604
Thomas Simpatico 133 0.4× 78 0.4× 232 1.8× 123 1.0× 33 0.3× 27 612

Countries citing papers authored by Brian J. Sherman

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Sherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Sherman

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