Nelson Varela

1.8k total citations
59 papers, 1.3k citations indexed

About

Nelson Varela is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Nelson Varela has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Pharmacology and 12 papers in Oncology. Recurrent topics in Nelson Varela's work include Pharmacogenetics and Drug Metabolism (16 papers), Glutathione Transferases and Polymorphisms (13 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Nelson Varela is often cited by papers focused on Pharmacogenetics and Drug Metabolism (16 papers), Glutathione Transferases and Polymorphisms (13 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Nelson Varela collaborates with scholars based in Chile, Spain and Peru. Nelson Varela's co-authors include Luis A. Quiñones, Luis A. Videla, Ramón Rodrigo, Attila Csendes, G Smok, Dante Cáceres, Myriam Orellana, Jaime Poníachik, Virginia Fernández and Gladys Tapia and has published in prestigious journals such as Scientific Reports, FEBS Letters and Free Radical Biology and Medicine.

In The Last Decade

Nelson Varela

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nelson Varela Chile 17 535 464 236 233 157 59 1.3k
Luis A. Quiñones Chile 18 533 1.0× 419 0.9× 258 1.1× 228 1.0× 172 1.1× 86 1.4k
Kaili Fu China 12 573 1.1× 461 1.0× 102 0.4× 112 0.5× 181 1.2× 14 1.1k
Teresa Muñoz‐Yagüe Spain 16 327 0.6× 499 1.1× 232 1.0× 141 0.6× 97 0.6× 24 1.0k
Nathan J. Cherrington United States 20 379 0.7× 596 1.3× 362 1.5× 187 0.8× 504 3.2× 35 1.4k
April D. Lake United States 17 429 0.8× 870 1.9× 160 0.7× 238 1.0× 365 2.3× 23 1.3k
Rebekka A. Hannivoort Netherlands 13 613 1.1× 691 1.5× 96 0.4× 219 0.9× 217 1.4× 17 1.5k
Qichao Hu China 16 412 0.8× 212 0.5× 190 0.8× 97 0.4× 106 0.7× 43 1.0k
Xuemei Gu China 17 390 0.7× 236 0.5× 112 0.5× 186 0.8× 98 0.6× 40 1.0k
Daniel E. Francés Argentina 20 384 0.7× 276 0.6× 73 0.3× 137 0.6× 86 0.5× 38 950
Lily Dara United States 16 589 1.1× 662 1.4× 604 2.6× 79 0.3× 220 1.4× 32 1.8k

Countries citing papers authored by Nelson Varela

Since Specialization
Citations

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

Fields of papers citing papers by Nelson Varela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nelson Varela

This figure shows the co-authorship network connecting the top 25 collaborators of Nelson Varela. A scholar is included among the top collaborators of Nelson Varela 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 Nelson Varela. Nelson Varela 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.
Mueller, Michael, Dominique Scherer, Inés Zulantay, et al.. (2025). Small-RNA sequencing identifies serum microRNAs associated with abnormal electrocardiography findings in patients with Chagas disease. Journal of Infection. 91(4). 106613–106613. 1 indexed citations
2.
Irarrázabal, Carlos E., et al.. (2025). Association of OPRM1 and OPRD1 Polymorphisms with Pain and Opioid Adverse Reactions in Colorectal Cancer. Pharmaceuticals. 18(2). 220–220.
3.
4.
Colombo, Alicia, et al.. (2024). Genetic Polymorphisms and Tumoral Mutational Profiles over Survival in Advanced Colorectal Cancer Patients: An Exploratory Study. Current Oncology. 31(1). 274–295. 4 indexed citations
5.
6.
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Alvarado, Ángel T., et al.. (2023). Pharmacogenetic variants of CYP2C9 and CYP2C19 associated with adverse reactions induced by antiepileptic drugs used in Peru. Pharmacia. 70(3). 603–618. 6 indexed citations
8.
López‐Cortés, Andrés, Lavanya Prathap, Esteban Ortiz‐Prado, et al.. (2022). The close interaction between hypoxia-related proteins and metastasis in pancarcinomas. Scientific Reports. 12(1). 11100–11100. 11 indexed citations
9.
Young, Rodrigo, Eva Bustamante, Cecilia Tapia, et al.. (2021). Smartphone screen testing, a novel pre-diagnostic method to identify SARS-CoV-2 infectious individuals. eLife. 10. 7 indexed citations
10.
Varela, Nelson, Patricia Guevara‐Ramírez, Cristián Acevedo, et al.. (2021). A New Insight for the Identification of Oncogenic Variants in Breast and Prostate Cancers in Diverse Human Populations, With a Focus on Latinos. Frontiers in Pharmacology. 12. 630658–630658. 9 indexed citations
11.
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Salazar‐Granara, Alberto, et al.. (2020). Estudio de las variantes alélicas del gen CYP2C9 y monitorización clínica del valproato en plasma como fundamento de la Medicina Personalizada. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 57(2). 73–78. 2 indexed citations
13.
González‐Hormazábal, Patricio, Marco Bustamante, H Valladares, et al.. (2020). Polymorphisms PSCA rs2294008, IL-4 rs2243250 and MUC1 rs4072037 are associated with gastric cancer in a high risk population. Molecular Biology Reports. 47(11). 9239–9243. 4 indexed citations
14.
Varela, Nelson, et al.. (2015). Characterization of the CYP2D6 drug metabolizing phenotypes of the Chilean mestizo population through polymorphism analyses. Pharmacological Research. 101. 124–129. 15 indexed citations
15.
Quiñones, Luis A., et al.. (2008). Papel de las enzimas citocromo p450 en el metabolismo de fármacos antineoplásicos: Situación actual y perspectivas terapéuticas. Revista médica de Chile. 136(10). 4 indexed citations
16.
Quiñones, Luis A., et al.. (2006). Famacogénica del cáncer: Estudio de variaciones genéticamente determinadas en la susceptibilidad a cáncer por exposición a xenobióticos. Revista médica de Chile. 134(4). 499–515. 12 indexed citations
17.
Galindo, Mario, Nelson Varela, Ingrid Espinoza, et al.. (2004). Chromatin from two classes of platyhelminthes display both protist H1 and higher eukaryote core histones. FEBS Letters. 567(2-3). 225–229. 5 indexed citations
18.
Varela, Nelson, et al.. (2004). Interacciones genéticas y genético-ambientales como efecto modificador del riesgo de cáncer de próstata: un diseño «case-only». Revista médica de Chile. 132(8). 961–70. 4 indexed citations
19.
Quiñones, Luis A., Danièle Lucas, J. Godoy, et al.. (2001). CYP1A1, CYP2E1 and GSTM1 genetic polymorphisms. The effect of single and combined genotypes on lung cancer susceptibility in Chilean people. Cancer Letters. 174(1). 35–44. 103 indexed citations
20.
Quiñones, Luis A., F. Berthou, Nelson Varela, et al.. (1999). Ethnic susceptibility to lung cancer: differences in CYP2E1, CYP1A1 and GSTM1 genetic polymorphisms between French Caucasian and Chilean populations. Cancer Letters. 141(1-2). 167–171. 53 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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