Fernando Suárez

1.5k total citations
27 papers, 596 citations indexed

About

Fernando Suárez is a scholar working on Molecular Biology, Hematology and Health Informatics. According to data from OpenAlex, Fernando Suárez has authored 27 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Health Informatics. Recurrent topics in Fernando Suárez's work include Acute Myeloid Leukemia Research (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Suárez is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Fernando Suárez collaborates with scholars based in Canada, United States and India. Fernando Suárez's co-authors include Mark D. Minden, Yanina Eberhard, Xinliang Mao, Craig D. Simpson, Robert A. Batey, Rose Hurren, Shadi Dalili, Aaron D. Schimmer, Marcela Gronda and Tabitha E. Wood and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Molecular Cell.

In The Last Decade

Fernando Suárez

26 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Suárez Canada 11 377 165 97 79 68 27 596
Tai‐Chung Huang Taiwan 16 376 1.0× 173 1.0× 154 1.6× 172 2.2× 36 0.5× 39 761
Élodie Richard France 16 474 1.3× 98 0.6× 147 1.5× 79 1.0× 28 0.4× 40 708
Şükrü Tüzmen United States 14 385 1.0× 121 0.7× 96 1.0× 127 1.6× 24 0.4× 30 622
Ulrich Tschulena Germany 13 524 1.4× 314 1.9× 51 0.5× 25 0.3× 26 0.4× 23 862
Lothar Wieczorek Germany 9 553 1.5× 92 0.6× 131 1.4× 453 5.7× 35 0.5× 17 970
Marjan Yaghmaie Iran 15 384 1.0× 210 1.3× 118 1.2× 153 1.9× 38 0.6× 64 705
Mousheng Xu United States 11 300 0.8× 53 0.3× 130 1.3× 97 1.2× 54 0.8× 14 577
Robert Daber United States 15 315 0.8× 182 1.1× 87 0.9× 80 1.0× 11 0.2× 35 673
Marco Giordan Italy 16 265 0.7× 60 0.4× 84 0.9× 214 2.7× 11 0.2× 31 584
Mary Elizabeth Ross United States 5 567 1.5× 115 0.7× 95 1.0× 489 6.2× 19 0.3× 6 903

Countries citing papers authored by Fernando Suárez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Suárez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Suárez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Suárez. A scholar is included among the top collaborators of Fernando Suárez 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 Fernando Suárez. Fernando Suárez 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.
2.
Gruen, Daniel M., Olivia Zhang, Elif Eyigöz, et al.. (2023). Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes. Artificial Intelligence in Medicine. 137. 102498–102498. 13 indexed citations
3.
Dey, Sanjoy Kumer, Prithwish Chakraborty, Bum Chul Kwon, et al.. (2022). Human-centered explainability for life sciences, healthcare, and medical informatics. Patterns. 3(5). 100493–100493. 21 indexed citations
4.
Suárez, Fernando, et al.. (2021). Artificial Intelligence Clinical Evidence Engine for Automatic Identification, Prioritization, and Extraction of Relevant Clinical Oncology Research. JCO Clinical Cancer Informatics. 5(5). 102–111. 7 indexed citations
5.
Krzyzanowski, Paul M., Fabrice Sircoulomb, Fouad Yousif, et al.. (2019). Regional perturbation of gene transcription is associated with intrachromosomal rearrangements and gene fusion transcripts in high grade ovarian cancer. Scientific Reports. 9(1). 3590–3590. 7 indexed citations
6.
Urman, Alexandra, et al.. (2018). ChemoQuant: A novel approach to address the current chemotherapy supply problems in low resource countries.. Journal of Clinical Oncology. 36(15_suppl). e18593–e18593. 1 indexed citations
7.
Cantalapiedra, Diego, Ignacio Durán, Oriol Calvete, et al.. (2018). The application of cognitive computing technology in genomics in precision oncological medicine: The Sistemas Genomicos Experience.. Journal of Clinical Oncology. 36(15_suppl). e18544–e18544. 3 indexed citations
8.
Medrano, Mauricio, Laudine Communal, Kevin R. Brown, et al.. (2017). Interrogation of Functional Cell-Surface Markers Identifies CD151 Dependency in High-Grade Serous Ovarian Cancer. Cell Reports. 18(10). 2343–2358. 31 indexed citations
9.
Meiri, David, Christopher B. Marshall, Melissa A. Greeve, et al.. (2012). Mechanistic Insight into the Microtubule and Actin Cytoskeleton Coupling through Dynein-Dependent RhoGEF Inhibition. Molecular Cell. 45(5). 642–655. 75 indexed citations
10.
Meiri, David, Christopher B. Marshall, Melissa A. Greeve, et al.. (2012). Mechanistic Insight into the Microtubule and Actin Cytoskeleton Coupling through Dynein-Dependent RhoGEF Inhibition. Molecular Cell. 45(6). 844–844. 1 indexed citations
11.
Wood, Tabitha E., Shadi Dalili, Craig D. Simpson, et al.. (2010). Selective Inhibition of Histone Deacetylases Sensitizes Malignant Cells to Death Receptor Ligands. Molecular Cancer Therapeutics. 9(1). 246–256. 56 indexed citations
12.
Khoury, Haytham, Fernando Suárez, Samantha Wu, & Mark D. Minden. (2010). An upstream insulator regulates DLK1 imprinting in AML. Blood. 115(11). 2260–2263. 38 indexed citations
13.
Han, Youqi, Lin Yang, Fernando Suárez, et al.. (2008). Wilms' Tumor 1 Suppressor Gene Mediates Antiestrogen Resistance via Down-Regulation of Estrogen Receptor-α Expression in Breast Cancer Cells. Molecular Cancer Research. 6(8). 1347–1355. 24 indexed citations
14.
Alibhai, Shabbir M.H., Marc Leach, Vikas Gupta, et al.. (2008). Quality of life beyond 6 months after diagnosis in older adults with acute myeloid leukemia. Critical Reviews in Oncology/Hematology. 69(2). 168–174. 45 indexed citations
15.
Khoury, Haytham, Fernando Suárez, Samantha Wu, Serban San‐Marina, & Mark D. Minden. (2008). An Upstream Insulator Element Regulates DLK1 Imprinting in AML. Blood. 112(11). 202–202. 3 indexed citations
16.
San‐Marina, Serban, Youqi Han, Fernando Suárez, Michael Trus, & Mark D. Minden. (2007). Lyl1 interacts with CREB1 and alters expression of CREB1 target genes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1783(3). 503–517. 23 indexed citations
17.
Suárez, Fernando, et al.. (2007). Enucleación y evisceración: estudio de 370 casos. Resultados y complicaciones. Archivos de la Sociedad Española de Oftalmología. 82(8). 495–99. 9 indexed citations
18.
Miller, Daniel M., et al.. (2007). Motility Assessment and Clinical Outcomes of a Magnetically Integrated Microporous Implant. Ophthalmic surgery, lasers & imaging retina. 38(4). 339–341. 2 indexed citations
19.
Trus, Michael, Lin Yang, Fernando Suárez, et al.. (2005). The histone deacetylase inhibitor valproic acid alters sensitivity towards all trans retinoic acid in acute myeloblastic leukemia cells. Leukemia. 19(7). 1161–1168. 53 indexed citations
20.
Zarante, Ignacio, et al.. (2001). Análisis clínico epidemiológico de factores asociados a malformaciones congénitas ECLAMC - Hospital Universitario San Ignacio junio-diciembre de 2001. 43(2). 121–127. 6 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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