Steven Madonick

19 total papers · 1.8k total citations
15 papers, 1.5k citations indexed

About

Steven Madonick is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Psychiatry and Mental health. According to data from OpenAlex, Steven Madonick has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Pharmacology and 7 papers in Psychiatry and Mental health. Recurrent topics in Steven Madonick's work include Neurotransmitter Receptor Influence on Behavior (8 papers), Schizophrenia research and treatment (6 papers) and Tryptophan and brain disorders (4 papers). Steven Madonick is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (8 papers), Schizophrenia research and treatment (6 papers) and Tryptophan and brain disorders (4 papers). Steven Madonick collaborates with scholars based in United States, South Korea and United Kingdom. Steven Madonick's co-authors include John H. Krystal, Walid Abi‐Saab, Ralitza Gueorguieva, Thomas B. Cooper, Deepak Cyril D’Souza, Ayşenil Belger, Gabriel Braley, Kimberlee Forselius-Bielen, Deepak Cyril D’Souza and Ismene L. Petrakis and has published in prestigious journals such as Biological Psychiatry, Neuropsychopharmacology and Psychopharmacology.

In The Last Decade

Steven Madonick

15 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Steven Madonick 739 635 509 344 268 15 1.5k
David Pickar 554 0.7× 328 0.5× 597 1.2× 294 0.9× 217 0.8× 19 1.7k
Deepak Cyril D’Souza 616 0.8× 393 0.6× 349 0.7× 447 1.3× 404 1.5× 30 1.4k
Abhishekh H. Ashok 607 0.8× 379 0.6× 453 0.9× 361 1.0× 306 1.1× 41 1.8k
Tetsuya Ichimiya 724 1.0× 336 0.5× 539 1.1× 484 1.4× 278 1.0× 32 1.5k
David E. Sternberg 448 0.6× 338 0.5× 598 1.2× 254 0.7× 188 0.7× 28 1.4k
M. Khaled El‐Yousef 448 0.6× 345 0.5× 374 0.7× 278 0.8× 386 1.4× 25 1.3k
N. Weisenfeld 812 1.1× 220 0.3× 368 0.7× 402 1.2× 295 1.1× 15 1.5k
Don Goff 471 0.6× 195 0.3× 596 1.2× 338 1.0× 300 1.1× 13 1.3k
Jorge Pérez 666 0.9× 451 0.7× 434 0.9× 114 0.3× 430 1.6× 30 1.4k
N.C. Tye 824 1.1× 203 0.3× 596 1.2× 269 0.8× 403 1.5× 15 1.6k

Countries citing papers authored by Steven Madonick

Since Specialization
Citations

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

Fields of papers citing papers by Steven Madonick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Madonick

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Madonick. A scholar is included among the top collaborators of Steven Madonick 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 Steven Madonick. Steven Madonick 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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2026