Kirvis Torres-Poveda

1.4k total citations
42 papers, 941 citations indexed

About

Kirvis Torres-Poveda is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Kirvis Torres-Poveda has authored 42 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 10 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Kirvis Torres-Poveda's work include Cervical Cancer and HPV Research (21 papers), Reproductive tract infections research (5 papers) and Aging, Health, and Disability (4 papers). Kirvis Torres-Poveda is often cited by papers focused on Cervical Cancer and HPV Research (21 papers), Reproductive tract infections research (5 papers) and Aging, Health, and Disability (4 papers). Kirvis Torres-Poveda collaborates with scholars based in Mexico, United States and Guatemala. Kirvis Torres-Poveda's co-authors include Vicente Madrid‐Marina, Ana I. Burguete-García, Margarita Bahena-Román, Karina Delgado-Romero, Alejandro Garcı́a-Carrancá, David Cantú de León, Juan Téllez‐Sosa, Jesús Martínez-Barnetche, Bernardo Cortina-Ceballos and Óscar Peralta-Zaragoza and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Kirvis Torres-Poveda

38 papers receiving 927 citations

Peers

Kirvis Torres-Poveda
Ramya Bhatia United Kingdom
Maria Abadi United States
S. Klein Germany
Sílvia Helena Rabelo‐Santos Brazil
Fabio Bottari Italy
Inger Gustavsson Sweden
M Paraskevas Canada
Suresh Bhambhani India
Yonat Shemer Avni Israel
Yuka Torii Japan
Ramya Bhatia United Kingdom
Kirvis Torres-Poveda
Citations per year, relative to Kirvis Torres-Poveda Kirvis Torres-Poveda (= 1×) peers Ramya Bhatia

Countries citing papers authored by Kirvis Torres-Poveda

Since Specialization
Citations

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

Fields of papers citing papers by Kirvis Torres-Poveda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kirvis Torres-Poveda. 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 Kirvis Torres-Poveda. The network helps show where Kirvis Torres-Poveda may publish in the future.

Co-authorship network of co-authors of Kirvis Torres-Poveda

This figure shows the co-authorship network connecting the top 25 collaborators of Kirvis Torres-Poveda. A scholar is included among the top collaborators of Kirvis Torres-Poveda 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 Kirvis Torres-Poveda. Kirvis Torres-Poveda 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.
Cetina, Lucely, et al.. (2025). Machine and Deep Learning for the Diagnosis, Prognosis, and Treatment of Cervical Cancer: A Scoping Review. Diagnostics. 15(12). 1543–1543. 2 indexed citations
2.
Torres-Poveda, Kirvis, Margarita Bahena-Román, Alfredo Lagunas-Martínez, et al.. (2025). High nasopharyngeal and serum IL-6 levels and the − 573G > C polymorphism (rs1800796) are linked with the risk of severe COVID-19 in a Mexican population: a case‒control study. BMC Infectious Diseases. 25(1). 315–315.
3.
Meneses-Navarro, Sergio, et al.. (2024). Barriers and facilitators for adherence to follow-up by HR-HPV-positive women with premalignant cervical lesions: a mixed-design study in Mexico. BMC Women s Health. 24(1). 550–550. 1 indexed citations
4.
Granados-García, Víctor, et al.. (2024). Risk factors for the development of cervical cancer: analysis of the evidence. Frontiers in Oncology. 14. 1378549–1378549. 11 indexed citations
5.
Bahena-Román, Margarita, et al.. (2023). Prevalence and Risk Factors for High-Risk Human Papillomavirus Infection and Cervical Disorders: Baseline Findings From an Human Papillomavirus Cohort Study. Cancer Control. 30. 2915620973–2915620973. 6 indexed citations
6.
Torres-Poveda, Kirvis, et al.. (2023). Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach. BMC Infectious Diseases. 23(1). 18–18. 7 indexed citations
7.
Arrivillaga, Marcela, et al.. (2023). Barriers to adherence to cytology exam: a case study in low-income Colombian women. BMC Health Services Research. 23(1). 796–796. 1 indexed citations
8.
9.
Torres-Poveda, Kirvis, Margarita Camorlinga‐Ponce, Lourdes Flores‐Luna, et al.. (2019). Polymorphisms in IL-10 and TGF-β gene promoter are associated with lower risk to gastric cancer in a Mexican population. BMC Cancer. 19(1). 453–453. 25 indexed citations
10.
11.
Lagunas-Martínez, Alfredo, Margarita Bahena-Román, Vicente Madrid‐Marina, et al.. (2017). High relative abundance of firmicutes and increased TNF-α levels correlate with obesity in children. Salud Pública de México. 60(1, ene-feb). 5–5. 32 indexed citations
12.
Avilés‐Jiménez, Francisco, Guoqin Yu, Kirvis Torres-Poveda, Vicente Madrid‐Marina, & Javier Torres. (2017). On the Search to Elucidate the Role of Microbiota in the Genesis of Cancer: The Cases of Gastrointestinal and Cervical Cancer. Archives of Medical Research. 48(8). 754–765. 24 indexed citations
13.
García, Celina, Juan Manuel Alcocer-González, Óscar Peralta-Zaragoza, et al.. (2016). In vivo Antitumor Effect of an HPV-specific Promoter driving IL-12 Expression in an HPV 16-positive Murine Model of Cervical Cancer. Journal of Cancer. 7(14). 1950–1959. 4 indexed citations
14.
Peralta-Zaragoza, Óscar, Angélica Meneses‐Acosta, Gloria Fernández‐Tilapa, et al.. (2016). Relevance of miR-21 in regulation of tumor suppressor gene PTEN in human cervical cancer cells. BMC Cancer. 16(1). 215–215. 76 indexed citations
15.
Torres-Poveda, Kirvis, Ana I. Burguete-García, Margarita Bahena-Román, et al.. (2016). Risk allelic load in Th2 and Th3 cytokines genes as biomarker of susceptibility to HPV-16 positive cervical cancer: a case control study. BMC Cancer. 16(1). 330–330. 41 indexed citations
16.
Martínez‐Nava, Gabriela Angélica, Kirvis Torres-Poveda, Alfredo Lagunas-Martínez, et al.. (2014). Cervical cancer-associated promoter polymorphism affects akna expression levels. Genes and Immunity. 16(1). 43–53. 8 indexed citations
17.
Peralta-Zaragoza, Óscar, Gloria Fernández‐Tilapa, Ana I. Burguete-García, et al.. (2014). Selective Silencing of Gene Target Expression By siRNA Expression Plasmids in Human Cervical Cancer Cells. Methods in molecular biology. 1249. 153–171. 4 indexed citations
18.
Torres-Poveda, Kirvis, Ana I. Burguete-García, Miguel Cruz, et al.. (2012). The SNP at −592 of human IL-10 gene is associated with serum IL-10 levels and increased risk for human papillomavirus cervical lesion development. Infectious Agents and Cancer. 7(1). 32–32. 42 indexed citations
19.
Burguete-García, Ana I., et al.. (2011). Hepatitis C seroprevalence and correlation between viral load and viral genotype among primary care clients in Mexico.. PubMed. 53 Suppl 1. S7–12. 31 indexed citations
20.
Madrid‐Marina, Vicente, et al.. (2009). Advantages and Disadvantages of Current Prophylactic Vaccines Against HPV. Archives of Medical Research. 40(6). 471–477. 24 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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