Luis M. Colón-Pérez
- Modeling and Simulation top 2%
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
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- Advanced Neuroimaging Techniques and Applications 20
- Advanced MRI Techniques and Applications 7
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- Neurotransmitter Receptor Influence on Behavior 5
- Genetic Neurodegenerative Diseases 3
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- Functional Brain Connectivity Studies 13
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- Neuroendocrine regulation and behavior 6
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- Neurological disorders and treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Thomas H. MareciMarcelo FeboRichard L. MaginWilliam TriplettCarson IngoDavid E. VaillancourtJasenka ZubcevicRodolfo G. Gatto
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Neuroscience (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Luis M. Colón-Pérez
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 130
- Modeling and Simulation 188
- Biological Psychiatry 63
- Behavioral Neuroscience 57
- Radiology, Nuclear Medicine and Imaging 351
- Cellular and Molecular Neuroscience 242
Countries citing papers authored by Luis M. Colón-Pérez
This map shows the geographic impact of Luis M. Colón-Pérez'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 Luis M. Colón-Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis M. Colón-Pérez more than expected).
Fields of papers citing papers by Luis M. Colón-Pérez
This network shows the impact of papers produced by Luis M. Colón-Pérez. 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 Luis M. Colón-Pérez. The network helps show where Luis M. Colón-Pérez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luis M. Colón-Pérez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 11 | |
| 6 | 2019 | 88 | |
| 7 | 2018 | 23 | |
| 8 | 2017 | 48 | |
| 9 | 2017 | 91 | |
| 10 | 2017 | 15 | |
| 11 | 2017 | 17 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 41 | |
| 14 | 2016 | 25 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 13 | |
| 17 | 2015 | 21 | |
| 18 | 2015 | 14 | |
| 19 | 2013 | 38 | |
| 20 | 2012 | 21 |
About Luis M. Colón-Pérez
Luis M. Colón-Pérez is a scholar working on Biological Psychiatry, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (20 papers), Functional Brain Connectivity Studies (13 papers), Advanced MRI Techniques and Applications (7 papers), Neuroendocrine regulation and behavior (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neurological disorders and treatments (4 papers), Genetic Neurodegenerative Diseases (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Modeling and Simulation (188 citations), Biological Psychiatry (63 citations) and Behavioral Neuroscience (57 citations). Luis M. Colón-Pérez has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Thomas H. Mareci, Marcelo Febo, Richard L. Magin, William Triplett, Carson Ingo, David E. Vaillancourt, Jasenka Zubcevic, Rodolfo G. Gatto, Edward Ofori and Robert J. Cousins. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.
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.