Jorge I. Vélez

3.5k total citations
81 papers, 1.9k citations indexed

About

Jorge I. Vélez is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Jorge I. Vélez has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Psychiatry and Mental health and 16 papers in Genetics. Recurrent topics in Jorge I. Vélez's work include Attention Deficit Hyperactivity Disorder (15 papers), Functional Brain Connectivity Studies (8 papers) and Alzheimer's disease research and treatments (7 papers). Jorge I. Vélez is often cited by papers focused on Attention Deficit Hyperactivity Disorder (15 papers), Functional Brain Connectivity Studies (8 papers) and Alzheimer's disease research and treatments (7 papers). Jorge I. Vélez collaborates with scholars based in Colombia, Australia and United States. Jorge I. Vélez's co-authors include Maximilian Muenke, Mauricio Arcos‐Burgos, Erich Roessler, Benjamin D. Solomon, Juan Carlos Correa, Daniel Pineda‐Alvarez, Oscar M. Vidal, Fernando Marmolejo‐Ramos, Felicitas Lacbawan and Maia V. Ouspenskaia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jorge I. Vélez

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge I. Vélez Colombia 25 752 429 345 245 244 81 1.9k
Raquel Iniesta United Kingdom 13 640 0.9× 384 0.9× 194 0.6× 203 0.8× 214 0.9× 32 2.5k
Stacey J. Winham United States 30 585 0.8× 448 1.0× 337 1.0× 139 0.6× 152 0.6× 142 3.0k
Patrick Sleiman United States 24 632 0.8× 768 1.8× 205 0.6× 312 1.3× 366 1.5× 94 2.4k
Tim Becker Germany 32 1.3k 1.8× 1.1k 2.6× 411 1.2× 318 1.3× 286 1.2× 122 3.6k
Fuquan Zhang China 31 1.4k 1.9× 697 1.6× 484 1.4× 483 2.0× 297 1.2× 212 3.6k
Jo Knight United Kingdom 33 1.0k 1.3× 917 2.1× 625 1.8× 357 1.5× 460 1.9× 106 3.3k
Xiao Chang China 25 1.1k 1.4× 431 1.0× 132 0.4× 277 1.1× 388 1.6× 125 2.6k
Yunlong Ma China 24 1.1k 1.4× 686 1.6× 179 0.5× 194 0.8× 335 1.4× 75 2.4k
Paul Van Eerdewegh United States 23 757 1.0× 946 2.2× 237 0.7× 202 0.8× 231 0.9× 43 2.3k
Peter Humphreys Canada 24 353 0.5× 398 0.9× 397 1.2× 416 1.7× 175 0.7× 49 1.7k

Countries citing papers authored by Jorge I. Vélez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge I. Vélez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge I. Vélez. 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 Jorge I. Vélez. The network helps show where Jorge I. Vélez may publish in the future.

Co-authorship network of co-authors of Jorge I. Vélez

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge I. Vélez. A scholar is included among the top collaborators of Jorge I. Vélez 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 Jorge I. Vélez. Jorge I. Vélez 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
1.
Arcos‐Burgos, Mauricio, Claudio A. Mastronardi, Jorge I. Vélez, et al.. (2025). Neurodevelopment Genes Encoding Olduvai Domains Link Myalgic Encephalomyelitis to Neuropsychiatric Disorders. Diagnostics. 15(12). 1542–1542. 1 indexed citations
2.
Vélez, Jorge I., et al.. (2024). Theory of Mind in Huntington’s Disease: A Systematic Review of 20 Years of Research. Journal of Huntington s Disease. 13(1). 15–31. 2 indexed citations
3.
Vidal, Oscar M., Ernesto Barceló, Ricardo Allegri, et al.. (2024). Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease. International Journal of Molecular Sciences. 25(22). 12293–12293. 4 indexed citations
4.
Gamarra, Margarita, et al.. (2024). A distance-based kernel for classification via Support Vector Machines. Frontiers in Artificial Intelligence. 7. 1287875–1287875. 14 indexed citations
5.
Díaz‐Zuluaga, Ana M., Jorge I. Vélez, Jorge Mauricio Cuartas Arias, et al.. (2023). Ancestry component as a major predictor of lithium response in the treatment of bipolar disorder. Journal of Affective Disorders. 332. 203–209. 4 indexed citations
6.
Peñabaena‐Niebles, Rita, et al.. (2022). Statistical design of an adaptive synthetic X¯$\bar{X}$ control chart for autocorrelated processes. Quality and Reliability Engineering International. 38(5). 2475–2500. 4 indexed citations
7.
8.
Pineda, David, et al.. (2021). ADGRL3, FGF1 and DRD4: Linkage and Association with Working Memory and Perceptual Organization Candidate Endophenotypes in ADHD. Brain Sciences. 11(7). 854–854. 6 indexed citations
9.
Pineda, David, et al.. (2021). Impulsive and Omission Errors: Potential Temporal Processing Endophenotypes in ADHD. Brain Sciences. 11(9). 1218–1218. 8 indexed citations
10.
11.
Vélez, Jorge I., et al.. (2021). A new pipeline for structural characterization and classification of RNA-Seq microbiome data. BioData Mining. 14(1). 31–31. 4 indexed citations
12.
Vélez, Jorge I.. (2021). Machine Learning based Psychology: Advocating for A Data-Driven Approach. International journal of psychological research. 14(1). 6–11. 8 indexed citations
13.
Mastronardi, Claudio A., et al.. (2019). Genetic Variation Underpinning ADHD Risk in a Caribbean Community. Cells. 8(8). 907–907. 15 indexed citations
14.
Pineda, David, et al.. (2017). Prepotent response inhibition and reaction times in children with attention deficit/hyperactivity disorder from a Caribbean community. ADHD Attention Deficit and Hyperactivity Disorders. 9(4). 199–211. 17 indexed citations
15.
Johar, Angad, Juan Camilo Sarmiento-Monroy, Adriana Rojas‐Villarraga, et al.. (2016). Definition of mutations in polyautoimmunity. Journal of Autoimmunity. 72. 65–72. 12 indexed citations
16.
Wong, Ma‐Li, Mauricio Arcos‐Burgos, Jorge I. Vélez, et al.. (2016). The PHF21B gene is associated with major depression and modulates the stress response. Molecular Psychiatry. 22(7). 1015–1025. 51 indexed citations
17.
Johar, Angad, Claudio A. Mastronardi, Adriana Rojas‐Villarraga, et al.. (2015). Novel and rare functional genomic variants in multiple autoimmune syndrome and Sjögren’s syndrome. Journal of Translational Medicine. 13(1). 173–173. 27 indexed citations
18.
Vélez, Jorge I., et al.. (2012). Comparison between SVM and Logistic Regression: Which One is Better to Discriminate?. SHILAP Revista de lepidopterología. 35(2). 223–237. 53 indexed citations
19.
Vélez, Jorge I., et al.. (2011). A two-locus genetic interaction between LPHN3 and 11q predicts ADHD severity and long-term outcome. Translational Psychiatry. 1(7). e17–e17. 35 indexed citations
20.
Domené, Sabina, Erich Roessler, Kênia Balbi El-Jaick, et al.. (2008). Mutations in the human SIX3 gene in holoprosencephaly are loss of function. Human Molecular Genetics. 17(24). 3919–3928. 42 indexed citations

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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