Abiel Roche-Lima

585 total citations
46 papers, 369 citations indexed

About

Abiel Roche-Lima is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Abiel Roche-Lima has authored 46 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Abiel Roche-Lima's work include Cardiac Valve Diseases and Treatments (5 papers), Machine Learning in Bioinformatics (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Abiel Roche-Lima is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Machine Learning in Bioinformatics (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Abiel Roche-Lima collaborates with scholars based in Puerto Rico, United States and Canada. Abiel Roche-Lima's co-authors include Dagmar F. Hernández-Suárez, Angel López‐Candales, José Wiley, Harish Ramakrishna, Pedro Villablanca, Pedro Cox‐Alomar, Cristina Sanina, Duane S. Pinto, Yeunjung Kim and Jorgé Duconge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Abiel Roche-Lima

41 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abiel Roche-Lima Puerto Rico 9 127 86 77 59 40 46 369
Yeongsic Kim South Korea 10 46 0.4× 60 0.7× 70 0.9× 53 0.9× 37 0.9× 31 364
Daniel Sugrue United Kingdom 13 111 0.9× 57 0.7× 306 4.0× 17 0.3× 29 0.7× 29 635
Joseph Kassab United States 15 152 1.2× 124 1.4× 70 0.9× 45 0.8× 171 4.3× 51 561
Iain S. Forrest United States 10 76 0.6× 78 0.9× 20 0.3× 35 0.6× 24 0.6× 22 327
João Pereira Netherlands 5 75 0.6× 92 1.1× 36 0.5× 30 0.5× 15 0.4× 10 251
Constantinos Christopoulos Greece 13 53 0.4× 43 0.5× 92 1.2× 35 0.6× 54 1.4× 34 434
Hongjin Zhao China 12 108 0.9× 88 1.0× 40 0.5× 12 0.2× 16 0.4× 28 410
Yinan Huang United States 9 41 0.3× 87 1.0× 54 0.7× 20 0.3× 23 0.6× 38 334
Akram Mohammed United States 12 27 0.2× 132 1.5× 157 2.0× 28 0.5× 49 1.2× 28 459
Sarah Sandmann Germany 11 46 0.4× 198 2.3× 33 0.4× 41 0.7× 21 0.5× 40 584

Countries citing papers authored by Abiel Roche-Lima

Since Specialization
Citations

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

Fields of papers citing papers by Abiel Roche-Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abiel Roche-Lima. 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 Abiel Roche-Lima. The network helps show where Abiel Roche-Lima may publish in the future.

Co-authorship network of co-authors of Abiel Roche-Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Abiel Roche-Lima. A scholar is included among the top collaborators of Abiel Roche-Lima 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 Abiel Roche-Lima. Abiel Roche-Lima 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.
Roche-Lima, Abiel, et al.. (2025). SCAMP3-Driven Regulation of ERK1/2 and Autophagy Phosphoproteomics Signatures in Triple-Negative Breast Cancer. International Journal of Molecular Sciences. 26(19). 9577–9577. 1 indexed citations
2.
Roche-Lima, Abiel, et al.. (2025). Cannabinoid Receptor Type 2 Agonist JWH-133 Stimulates Antiviral Factors and Decreases Proviral, Inflammatory, and Neurotoxic Proteins in HIV-Infected Macrophage Secretome. International Journal of Molecular Sciences. 26(21). 10596–10596. 1 indexed citations
3.
4.
Méndez, Loyda B., et al.. (2024). Plasma Proteins Associated with COVID-19 Severity in Puerto Rico. International Journal of Molecular Sciences. 25(10). 5426–5426.
5.
Roche-Lima, Abiel, et al.. (2024). Quantitative Proteomics Reveal That CB2R Agonist JWH-133 Downregulates NF-κB Activation, Oxidative Stress, and Lysosomal Exocytosis from HIV-Infected Macrophages. International Journal of Molecular Sciences. 25(6). 3246–3246. 5 indexed citations
6.
Roche-Lima, Abiel, et al.. (2024). Antimalarial Drug Combination Predictions Using the Machine Learning Synergy Predictor (MLSyPred©) tool. Acta Parasitologica. 69(1). 415–425. 3 indexed citations
7.
Glazko, Galina, et al.. (2023). The 29-nucleotide deletion in SARS-CoV: truncated versions of ORF8 are under purifying selection. BMC Genomics. 24(1). 2 indexed citations
8.
Hochheiser, Harry, et al.. (2023). Evaluation of AIML + HDR—A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers. International Journal of Environmental Research and Public Health. 20(3). 2726–2726. 2 indexed citations
9.
Velev, Julian, Jack LeBien, & Abiel Roche-Lima. (2023). Unsupervised machine learning method for indirect estimation of reference intervals for chronic kidney disease in the Puerto Rican population. Scientific Reports. 13(1). 17198–17198. 1 indexed citations
10.
Santiago-Sánchez, Ginette S., Rohit Sharma, Abiel Roche-Lima, et al.. (2022). Reduced RBPMS Levels Promote Cell Proliferation and Decrease Cisplatin Sensitivity in Ovarian Cancer Cells. International Journal of Molecular Sciences. 23(1). 535–535. 7 indexed citations
11.
Roche-Lima, Abiel, et al.. (2021). A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers. PLoS Computational Biology. 17(8). e1009247–e1009247. 16 indexed citations
12.
Rogozin, Igor B., Abiel Roche-Lima, Kathrin Tyryshkin, et al.. (2021). DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers. Frontiers in Genetics. 12. 671866–671866. 5 indexed citations
13.
Hernández-Suárez, Dagmar F., Yeunjung Kim, Pedro Villablanca, et al.. (2019). Machine Learning Prediction Models for In-Hospital Mortality After Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions. 12(14). 1328–1338. 95 indexed citations
14.
Hernández-Suárez, Dagmar F., Sagar Ranka, Pedro Villablanca, et al.. (2019). Racial/Ethnic Disparities in Patients Undergoing Transcatheter Aortic Valve Replacement: Insights from the Healthcare Cost and Utilization Project's National Inpatient Sample. Cardiovascular revascularization medicine. 20(7). 546–552. 29 indexed citations
15.
Hernández-Suárez, Dagmar F., et al.. (2019). Assessment of Mitral Annular Plane Systolic Excursion in Patients With Left Ventricular Diastolic Dysfunction. Cardiology Research. 10(2). 83–88. 7 indexed citations
16.
Roche-Lima, Abiel, et al.. (2019). Modelling and molecular docking studies of the cytoplasmic domain of Wsc-family, full-length Ras2p, and therapeutic antifungal compounds. Computational Biology and Chemistry. 78. 338–352. 2 indexed citations
17.
Manfredi, Barbara, et al.. (2018). The Characterization of Monoclonal Antibodies to Mouse TLT-1 Suggests That TLT-1 Plays a Role in Wound Healing. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 37(2). 78–86. 6 indexed citations
18.
Hernández-Suárez, Dagmar F., Pedro Villablanca, José Wiley, et al.. (2018). TCT-173 Racial Disparities in Patients Undergoing Transcatheter Aortic Valve Replacement: Insights of the Healthcare Cost and Utilization Project's National Inpatient Sample. Journal of the American College of Cardiology. 72(13). B74–B74. 3 indexed citations
19.
Ordóñez, Patricia, et al.. (2016). Learning stochastic finite-state transducer to predict individual patient outcomes. Health and Technology. 6(3). 239–245. 2 indexed citations
20.
Roche-Lima, Abiel, Michael Domaratzki, & Brian Fristensky. (2014). Metabolic network prediction through pairwise rational kernels. BMC Bioinformatics. 15(1). 318–318. 5 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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