Bryan Dechairo

3.5k citations
43 papers · 2.2k indexed · h-index 23

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 16
    • Treatment of Major Depression 9
    • Genetic Associations and Epidemiology 4
    • Inflammatory Bowel Disease 4

Bryan Dechairo

42 papers receiving 2.1k citations

Peers

Bryan Dechairo
Comparison fields: 5 of 119
  • Biological Psychiatry 175
  • Pharmacology 541
  • Psychiatry and Mental health 458
  • Genetics 629
  • Pharmacology 350
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Citations per field
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Citations per year

Countries citing papers authored by Bryan Dechairo

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Dechairo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan Dechairo. 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 Bryan Dechairo. The network helps show where Bryan Dechairo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010297
2 2010196
3 2019184
4 2010160
5
A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder.
2013138
6 2005134
7 2011124
8 201099
9 201584
10 201581
11 200165
12 199765
13 201555
14 200653
15 200445
16 201742
17 202036
18 201935
19 200131
20 200229

About Bryan Dechairo

Bryan Dechairo is a scholar working on Pharmacology, Genetics, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 43 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Treatment of Major Depression (9 papers), Computational Drug Discovery Methods (8 papers), Tryptophan and brain disorders (6 papers), Alzheimer's disease research and treatments (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Genetic Associations and Epidemiology (4 papers) and Inflammatory Bowel Disease (4 papers). The work is most often cited by research in Biological Psychiatry (175 citations), Pharmacology (541 citations), Psychiatry and Mental health (458 citations), Genetics (629 citations) and Pharmacology (350 citations). Bryan Dechairo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joel G Winner, Joseph Carhart, C. Anthony Altar, Josiah D. Allen, Eve H. Pickering, Andrew J. Saykin, David W. Craig, Tatiana Foroud, Michael W. Weiner and Steven G. Potkin. Their work appears in journals such as Pharmacogenomics, European Journal of Human Genetics, NeuroImage, American Journal of Geriatric Psychiatry and Journal of Psychiatric Research.

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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