Steve Quirós

1.1k total citations
20 papers, 907 citations indexed

About

Steve Quirós is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Steve Quirós has authored 20 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Steve Quirós's work include DNA Repair Mechanisms (7 papers), Sphingolipid Metabolism and Signaling (3 papers) and Ginseng Biological Effects and Applications (2 papers). Steve Quirós is often cited by papers focused on DNA Repair Mechanisms (7 papers), Sphingolipid Metabolism and Signaling (3 papers) and Ginseng Biological Effects and Applications (2 papers). Steve Quirós collaborates with scholars based in Costa Rica, Germany and Spain. Steve Quirós's co-authors include Bernd Kaina, Wynand P. Roos, Teodora Nikolova, Bruno Lomonte, Markus Christmann, Karl-Heinz Tomaszowski, Yamileth Angulo, Alberto Alape‐Girón, Thomas Efferth and Małgorzata Z. Zdzienicka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Steve Quirós

19 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Quirós Costa Rica 10 590 220 208 164 106 20 907
Gregory Tombline United States 23 956 1.6× 71 0.3× 619 3.0× 112 0.7× 94 0.9× 41 1.6k
Pavel Spirin Russia 18 644 1.1× 48 0.2× 109 0.5× 142 0.9× 60 0.6× 90 1.0k
Miranda Wilson United Kingdom 19 652 1.1× 66 0.3× 109 0.5× 65 0.4× 83 0.8× 26 1.2k
Mirta Mittelstedt Leal de Sousa Norway 20 977 1.7× 38 0.2× 151 0.7× 161 1.0× 68 0.6× 37 1.2k
Jonathan P. Schuermann United States 18 864 1.5× 37 0.2× 107 0.5× 68 0.4× 145 1.4× 25 1.2k
Javier Peña-Dı́az Norway 21 1.3k 2.2× 61 0.3× 254 1.2× 268 1.6× 237 2.2× 29 1.6k
Elena Lomonosova United States 20 595 1.0× 49 0.2× 158 0.8× 95 0.6× 378 3.6× 42 1.2k
Charles P. Scott United States 11 1.0k 1.8× 46 0.2× 115 0.6× 61 0.4× 54 0.5× 14 1.2k
Farrell MacKenzie Canada 20 1.4k 2.4× 26 0.1× 263 1.3× 94 0.6× 147 1.4× 20 1.9k
Aviad Zick Israel 12 407 0.7× 19 0.1× 145 0.7× 208 1.3× 84 0.8× 48 749

Countries citing papers authored by Steve Quirós

Since Specialization
Citations

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

Fields of papers citing papers by Steve Quirós

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Quirós

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Quirós. A scholar is included among the top collaborators of Steve Quirós 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 Steve Quirós. Steve Quirós 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.
Monge-Ortega, Olga Patricia, et al.. (2023). Síndrome de Stevens-Johnson en una paciente con prueba positiva de transformación linfocitaria. SHILAP Revista de lepidopterología. 70(1). 38–42.
2.
3.
Molina-Mora, José Arturo, et al.. (2023). Sphingolipid-Based Synergistic Interactions to Enhance Chemosensitivity in Lung Cancer Cells. Cells. 12(22). 2588–2588. 1 indexed citations
4.
Molina-Mora, José Arturo, et al.. (2022). Sphingolipid pathway as a biosensor of cancer chemosensitivity: a proof of principle. Uniciencia. 36(1). 1–15. 2 indexed citations
5.
Roos, Wynand P., et al.. (2018). XRCC3 contributes to temozolomide resistance of glioblastoma cells by promoting DNA double-strand break repair. Cancer Letters. 424. 119–126. 31 indexed citations
6.
Molina-Mora, José Arturo, et al.. (2018). A hybrid mathematical modeling approach of the metabolic fate of a fluorescent sphingolipid analogue to predict cancer chemosensitivity. Computers in Biology and Medicine. 97. 8–20. 7 indexed citations
7.
Martínez, Alejandra, et al.. (2016). A Comparison between a Relational Database, a Graph Database in the Context of a Personalized Cancer Treatment Application.. 1 indexed citations
8.
Martínez, Alejandra, et al.. (2016). Building a Personalized Cancer Treatment System. Journal of Medical Systems. 41(2). 1 indexed citations
9.
Roos, Wynand P., Steve Quirós, Olivier J. Switzeny, et al.. (2014). B-Raf inhibitor vemurafenib in combination with temozolomide and fotemustine in the killing response of malignant melanoma cells. Oncotarget. 5(24). 12607–12620. 18 indexed citations
10.
Quirós, Steve, et al.. (2014). Psicopatología en la adolescencia. Medicine - Programa de Formación Médica Continuada Acreditado. 11(61). 3612–3621. 5 indexed citations
11.
Roos, Wynand P., Teodora Nikolova, Steve Quirós, et al.. (2013). Survival and Death Strategies in Glioma Cells: Autophagy, Senescence and Apoptosis Triggered by a Single Type of Temozolomide-Induced DNA Damage. PLoS ONE. 8(1). e55665–e55665. 223 indexed citations
12.
Quirós, Steve, et al.. (2012). DNA Damaging Drugs in the Treatment of Glioblastoma: HR, Apoptosis, Autophagy and Senescence. Klinische Pädiatrie. 224(6). 1 indexed citations
13.
Nikolova, Teodora, et al.. (2011). Artesunate Induces Oxidative DNA Damage, Sustained DNA Double-Strand Breaks, and the ATM/ATR Damage Response in Cancer Cells. Molecular Cancer Therapeutics. 10(12). 2224–2233. 147 indexed citations
14.
Quirós, Steve, Wynand P. Roos, & Bernd Kaina. (2011). Rad51 and BRCA2 - New Molecular Targets for Sensitizing Glioma Cells to Alkylating Anticancer Drugs. PLoS ONE. 6(11). e27183–e27183. 82 indexed citations
15.
Quirós, Steve, Wynand P. Roos, & Bernd Kaina. (2010). Processing of O6-methylguanine into DNA double-strand breaks requires two rounds of replication whereas apoptosis is also induced in subsequent cell cycles. Cell Cycle. 9(1). 168–178. 107 indexed citations
16.
Quirós, Steve, et al.. (2010). Serum sexual steroid hormones and lipids in commercial broilers (Gallus domesticus) in Costa Rica. The Journal of Applied Poultry Research. 19(3). 279–287. 2 indexed citations
17.
Helbig, Lars, et al.. (2008). DNA Replication Arrest in Response to Genotoxic Stress Provokes Early Activation of Stress-Activated Protein Kinases (SAPK/JNK). Journal of Molecular Biology. 385(5). 1409–1421. 17 indexed citations
18.
Roos, Wynand P., Teodora Nikolova, Steve Quirós, et al.. (2008). Brca2/Xrcc2 dependent HR, but not NHEJ, is required for protection against O6-methylguanine triggered apoptosis, DSBs and chromosomal aberrations by a process leading to SCEs. DNA repair. 8(1). 72–86. 89 indexed citations
19.
Quirós, Steve, Alberto Alape‐Girón, Yamileth Angulo, & Bruno Lomonte. (2006). Isolation, characterization and molecular cloning of AnMIP, a new α-type phospholipase A2 myotoxin inhibitor from the plasma of the snake Atropoides nummifer (Viperidae: Crotalinae). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 146(1). 60–68. 119 indexed citations
20.
Quirós, Steve, et al.. (2005). Bactericidal and Antiendotoxic Properties of Short Cationic Peptides Derived from a Snake Venom Lys49 Phospholipase A2. Antimicrobial Agents and Chemotherapy. 49(4). 1340–1345. 49 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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