Matthew Macaluso

1.7k citations
73 papers · 1.2k · h-index 17

Impact in

Papers in

Matthew Macaluso

67 papers receiving 1.1k citations

Peers

Matthew Macaluso
Comparison fields: 5 of 94
  • Biological Psychiatry 215
  • Pharmacology 212
  • Pharmacology 371
  • Behavioral Neuroscience 51
  • Psychiatry and Mental health 172
Replace Christine J. Guico‐Pabia with:
Christine J. Guico‐Pabia United States
Karen A. Snyder United States
Charlotte M. E. Kremer United States
Massimo Carlo Mauri Italy
Victoria S. Marshe Canada
Judith C. Kando United States
Dejan Kozel United Kingdom
Karen Hodgson United Kingdom
Yuki Matsuda Japan
Eva J. Brandl Germany
Matthew Macaluso relative to Christine J. Guico‐Pabia United States Christine J. Guico‐Pabia's profile →
Citations per field
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Christine J. Guico‐Pabia · 1×
Citations per year

Countries citing papers authored by Matthew Macaluso

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Macaluso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019232
2 2015167
3 201781
4 201958
5 201847
6 201930
7 202129
8 202428
9 202025
10 202423
11 202222
12 201221
13 202020
14 201520
15 202119
16 201017
17 201817
18 202017
19 202516
20 201515

About Matthew Macaluso

Matthew Macaluso is a scholar working on Pharmacology, Psychiatry and Mental health, Biological Psychiatry, Pharmacology and Statistics and Probability, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Treatment of Major Depression (19 papers), Schizophrenia research and treatment (9 papers), Tryptophan and brain disorders (9 papers), Pharmacogenetics and Drug Metabolism (8 papers), Statistical Methods in Clinical Trials (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Bipolar Disorder and Treatment (4 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Biological Psychiatry (215 citations), Pharmacology (212 citations), Pharmacology (371 citations), Behavioral Neuroscience (51 citations) and Psychiatry and Mental health (172 citations). Matthew Macaluso has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Sheldon Preskorn, Joseph R. Moskal, Ronald M. Burch, Gary K Zammit, Brent P. Forester, Charles DeBattista, Boadie Waid Dunlop, Sagar V. Parikh, Michael E. Thase and John F. Greden. Their work appears in journals such as Psychiatry Research, The Journal of Clinical Psychiatry, Academic Psychiatry, Expert Opinion on Drug Metabolism & Toxicology and Journal of Clinical Psychopharmacology.

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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