Bryan M. DeChairo

3.6k citations
47 papers · 2.9k · h-index 27

Impact in

Papers in

Bryan M. DeChairo

45 papers receiving 2.8k citations

Peers

Bryan M. DeChairo
Comparison fields: 5 of 121
  • Pharmacology 558
  • Biological Psychiatry 152
  • Psychiatry and Mental health 441
  • Genetics 683
  • Physiology 495
Replace Robert Culverhouse with:
Robert Culverhouse United States
Kaixin Zhou China
Guang He China
Janet Munro United Kingdom
Claudia Pisanu Italy
Nobutada Tashiro Japan
Ben Readhead United States
Cliona M. Molony United States
Kirk J. Hogan United States
Olalla Maroñas Spain
Bryan M. DeChairo relative to Robert Culverhouse United States Robert Culverhouse's profile →
Citations per field
00.5×2×4×6×7.1×
Robert Culverhouse · 1×
Citations per year

Countries citing papers authored by Bryan M. DeChairo

Since Specialization
Citations

This map shows the geographic impact of Bryan M. 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 M. 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 M. DeChairo more than expected).

Fields of papers citing papers by Bryan M. DeChairo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010322
2 2019232
3 2010224
4 2010222
5 2010183
6
A prospective, randomized, double-blind study assessing the clinical impact of integrated pharmacogenomic testing for major depressive disorder.
2013149
7 2005148
8 2011140
9 2010132
10 2010112
11 201596
12 201594
13 199770
14 200167
15 201562
16 200660
17 200450
18 201748
19 202040
20 200138

About Bryan M. DeChairo

Bryan M. DeChairo is a scholar working on Pharmacology, Biological Psychiatry, Genetics, Computational Theory and Mathematics and Physiology, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (17 papers), Computational Drug Discovery Methods (8 papers), Tryptophan and brain disorders (6 papers), Alzheimer's disease research and treatments (5 papers), Treatment of Major Depression (5 papers), Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (4 papers) and Inflammatory Bowel Disease (4 papers). The work is most often cited by research in Pharmacology (558 citations), Biological Psychiatry (152 citations), Psychiatry and Mental health (441 citations), Genetics (683 citations) and Physiology (495 citations). Bryan M. DeChairo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joel G Winner, Joseph M. Carhart, Josiah D. Allen, C. Anthony Altar, Eve H. Pickering, Li Shen, Andrew J. Saykin, Steven G. Potkin, Tatiana Foroud and David Wesley Craig. Their work appears in journals such as Pharmacogenomics, Journal of Psychiatric Research, NeuroImage, CNS Spectrums and American Journal of Geriatric Psychiatry.

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.

Explore authors with similar magnitude of impact