Iván D. Montoya

66 papers receiving 2.3k citations

Peers

Iván D. Montoya
Comparison fields: 5 of 121
  • Epidemiology 1.0k
  • Public Health, Environmental and Occupational Health 662
  • Clinical Psychology 571
  • Psychiatry and Mental health 463
  • Cellular and Molecular Neuroscience 449
Replace Michael Soyka with:
Michael Soyka Germany
Conrad J. Wong United States
Theresa Winhusen United States
Vincent M. Hendriks Netherlands
Steven L. Batki United States
Jeanne L. Obert United States
Charles P. O Brien United States
Norman S. Miller United States
Jack Blaine United States
Alex Baldacchino United Kingdom
Iván D. Montoya relative to Michael Soyka Germany Michael Soyka's profile →
Citations per field
00.5×1.5×
Michael Soyka · 1×
Citations per year

Countries citing papers authored by Iván D. Montoya

Since Specialization
Citations

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

Fields of papers citing papers by Iván D. Montoya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iván D. Montoya. 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 Iván D. Montoya. The network helps show where Iván D. Montoya may publish in the future.

Co-authorship network of co-authors of Iván D. Montoya

This figure shows the co-authorship network connecting the top 25 collaborators of Iván D. Montoya. A scholar is included among the top collaborators of Iván D. Montoya 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 Iván D. Montoya. Iván D. Montoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 6
3
Constructs and relationships in the study of entrepreneurial intentions in university students
4
4 4
5 15
6 63
7 56
8 47
9
Perspectivas sobre la comorbilidad entre trastornos por uso de sustancias y trastornos psiquiátricos
1
10 7
11 137
12 52
13 3
14 51
15 13
16 92
17 141
18 9
19 1
20
Estudio comparativo de la psicopatología y de las funciones cognitivas en pacientes dependientes de la cocaína y los opiáceos
1

About Iván D. Montoya

Iván D. Montoya is a scholar working on Toxicology, Psychiatry and Mental health and Epidemiology, having authored 71 papers that have together received 2.5k indexed citations. Recurring topics across this work include Substance Abuse Treatment and Outcomes (34 papers), Opioid Use Disorder Treatment (19 papers) and Neurotransmitter Receptor Influence on Behavior (13 papers). The work is most often cited by research in Toxicology (113 citations), Psychiatry and Mental health (463 citations) and Epidemiology (1.0k citations). Iván D. Montoya has collaborated with scholars based in United States, Colombia and Chile. Frequent co-authors include Kenzie L. Preston, Kenneth Silverman, Charles R. Schuster, Dace S. Svikis, Judith S. Brook, David W. Brook, Frank J. Vocci, Robert K. Brooner, David A. Gorelick and Conrad J. Wong. Their work appears in journals such as American Journal of Psychiatry, Journal of Consulting and Clinical Psychology and Journal of the American Academy of Child & Adolescent 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.

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2026