Carlos Riveros

2.4k total citations
47 papers, 665 citations indexed

About

Carlos Riveros is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Carlos Riveros has authored 47 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Immunology. Recurrent topics in Carlos Riveros's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Carlos Riveros is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (9 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). Carlos Riveros collaborates with scholars based in Australia, United States and Brazil. Carlos Riveros's co-authors include Pablo Moscato, Regina Berretta, Inna Tishchenko, Heloisa Milioli, Alexandre Mendes, Natashia Boland, Rodney J. Scott, Ramon Casanova, Michael Griswold and Madhav Thambisetty and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Carlos Riveros

40 papers receiving 647 citations

Peers

Carlos Riveros

PHYSI

EEE

Jeon Lee United States

Thomas Maiwald Germany

Ming Feng China

Zeyneb Kurt Türkiye

Wenjie Cai China

Yijun Cheng China

Michał Bereta Poland

Jorge Aranda Mexico

Xiaojuan Sun China

Jeon Lee United States

Carlos Riveros

271 ×0.9

117 ×0.9

PHYSI

100 ×0.9

44 ×0.7

31 ×0.5

EEE

Citations per year, relative to Carlos Riveros Carlos Riveros (= 1×) peers Jeon Lee

Countries citing papers authored by Carlos Riveros

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Riveros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Riveros

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

All Works

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20 of 20 papers shown

Bond, Danielle R., B. M. R. Harvey, Luiza Steffens Reinhardt, et al.. (2025). Hypomethylating agents induce epigenetic and transcriptional heterogeneity with implications for acute myeloid leukemia cell self-renewal. Leukemia. 39(9). 2275–2280.

Riveros, Carlos, et al.. (2025). The impact of solid organ transplantation on sexual dysfunction and infertility in older men and women: A Claims Based Study. International Journal of Impotence Research.

Cortes, Daniel H., et al.. (2025). Finite element analysis predicts a major mechanical role of epicardial adipose tissue in atherosclerotic coronary disease and angioplasty. Computer Methods and Programs in Biomedicine. 262. 108656–108656.

Hu, Siqi, Jiaqiong Xu, Carlos Riveros, et al.. (2024). Contemporary morbidity and mortality of open versus robotic cystectomy for bladder cancer: An analysis of the National Surgical Quality Improvement Program (NSQIP) procedure targeted cystectomy database. Urologic Oncology Seminars and Original Investigations. 42(10). 332.e11–332.e19.

Reay, William R., Erin D. Clarke, Carlos Riveros, et al.. (2024). Using Genetics to Inform Interventions Related to Sodium and Potassium in Hypertension. Circulation. 149(13). 1019–1032. 2 indexed citations

Riveros, Carlos, et al.. (2023). Distinct genetic variants of early and late-onset prostate cancer. 1–8. 2 indexed citations

Ashton, Katie A., Ying Zhu, Futao Zhang, et al.. (2023). Integration of EpiSign, facial phenotyping, and likelihood ratio interpretation of clinical abnormalities in the re‐classification of an ARID1B missense variant. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(3). e32056–e32056. 3 indexed citations

Kim, Ji Yeon, et al.. (2020). Elucidating the time course of the transcriptomic response to photobiomodulation through gene co-expression analysis. Journal of Photochemistry and Photobiology B Biology. 208. 111916–111916. 9 indexed citations

Boyes, Allison, Lisa Mackenzie, Lucy Leigh, et al.. (2019). Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis. Journal of Medical Internet Research. 21(8). e13423–e13423. 8 indexed citations

10.

Enjeti, Anoop, et al.. (2018). Circulating microvesicles are less procoagulant and carry different miRNA cargo in myelodysplasia. Blood Cells Molecules and Diseases. 74. 37–43. 6 indexed citations

11.

Dudding‐Byth, Tracy, Elizabeth Holliday, Anna Hackett, et al.. (2017). Computer face-matching technology using two-dimensional photographs accurately matches the facial gestalt of unrelated individuals with the same syndromic form of intellectual disability. BMC Biotechnology. 17(1). 90–90. 24 indexed citations

12.

Milioli, Heloisa, Inna Tishchenko, Carlos Riveros, Regina Berretta, & Pablo Moscato. (2017). Basal-like breast cancer: molecular profiles, clinical features and survival outcomes. BMC Medical Genomics. 10(1). 19–19. 73 indexed citations

13.

Milioli, Heloisa, et al.. (2016). Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset. BioData Mining. 9(1). 2–2. 15 indexed citations

14.

Riveros, Carlos, et al.. (2015). A New Combinatorial Optimization Approach for Integrated Feature Selection Using Different Datasets: A Prostate Cancer Transcriptomic Study. PLoS ONE. 10(6). e0127702–e0127702. 7 indexed citations

15.

Milioli, Heloisa, et al.. (2015). The Discovery of Novel Biomarkers Improves Breast Cancer Intrinsic Subtype Prediction and Reconciles the Labels in the METABRIC Data Set. PLoS ONE. 10(7). e0129711–e0129711. 19 indexed citations

16.

Riveros, Carlos, et al.. (2014). An Information Theoretic Clustering Approach for Unveiling Authorship Affinities in Shakespearean Era Plays and Poems. PLoS ONE. 9(10). e111445–e111445. 13 indexed citations

17.

Riveros, Carlos, et al.. (2012). GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs. PLoS ONE. 7(8). e44000–e44000. 44 indexed citations

18.

Johnstone, Daniel M., Ross M. Graham, Debbie Trinder, et al.. (2012). Brain transcriptome perturbations in the Hfe−/− mouse model of genetic iron loading. Brain Research. 1448. 144–152. 10 indexed citations

19.

Oldmeadow, Christopher, Carlos Riveros, Rodney J. Scott, et al.. (2011). Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods. Genetic Epidemiology. 35(8). 745–754. 7 indexed citations

20.

Riveros, Carlos, Kaushal Gandhi, Fiona C. McKay, et al.. (2010). A Transcription Factor Map as Revealed by a Genome-Wide Gene Expression Analysis of Whole-Blood mRNA Transcriptome in Multiple Sclerosis. PLoS ONE. 5(12). e14176–e14176. 46 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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