Iván Martínez

1.9k total citations
29 papers, 1.3k citations indexed

About

Iván Martínez is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Iván Martínez has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Cancer Research and 6 papers in Infectious Diseases. Recurrent topics in Iván Martínez's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (6 papers). Iván Martínez is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (6 papers). Iván Martínez collaborates with scholars based in United States, China and India. Iván Martínez's co-authors include Daniel DiMaio, Federico A. Monzon, Robert P. Edwards, Amy S. Gardiner, S A Khan, Saleem A. Khan, Robert L. Ferris, Joan A. Steitz, Demián Cazalla and Jun Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Iván Martínez

29 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
Iván Martínez United States 16 935 760 187 152 114 29 1.3k
Bogumił Kaczkowski Denmark 19 709 0.8× 556 0.7× 114 0.6× 223 1.5× 14 0.1× 28 1.1k
Norishige Yamada Japan 21 754 0.8× 209 0.3× 124 0.7× 363 2.4× 47 0.4× 30 1.1k
Xiaoqing Sun China 18 1.1k 1.2× 363 0.5× 174 0.9× 205 1.3× 12 0.1× 48 1.6k
Aleksandra Dakic United States 10 555 0.6× 186 0.2× 199 1.1× 369 2.4× 22 0.2× 17 1.1k
Renske Goedemans Netherlands 15 385 0.4× 198 0.3× 206 1.1× 795 5.2× 114 1.0× 16 1.5k
Maggie Cam United States 18 395 0.4× 165 0.2× 349 1.9× 287 1.9× 9 0.1× 37 1.1k
Travis Solley United States 13 342 0.4× 163 0.2× 70 0.4× 373 2.5× 13 0.1× 26 768
Akihiro Katayama Japan 13 271 0.3× 93 0.1× 87 0.5× 344 2.3× 40 0.4× 58 842
Yongmei Yang China 31 1.9k 2.0× 1.9k 2.4× 231 1.2× 284 1.9× 7 0.1× 50 2.6k
Hila Cholakh Israel 4 1.2k 1.3× 1.2k 1.6× 61 0.3× 64 0.4× 6 0.1× 6 1.6k

Countries citing papers authored by Iván Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Iván Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Martínez. A scholar is included among the top collaborators of Iván Martínez 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 Iván Martínez. Iván Martínez 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.
Martínez, Iván, et al.. (2024). Radiotherapy and breast cancer: finally, an lncRNA perspective on radiosensitivity and radioresistance. Frontiers in Oncology. 14. 1437542–1437542. 2 indexed citations
2.
Jung, Mark, Lisa A. Marshall, Craig Hastings, et al.. (2024). Edited eukaryotic translation initiation factors confer resistance against maize lethal necrosis. Plant Biotechnology Journal. 22(12). 3523–3535. 1 indexed citations
3.
Taylor, Andrew D., Quincy A. Hathaway, Amina Kunovac, et al.. (2024). Mitochondrial sequencing identifies long noncoding RNA features that promote binding to PNPase. American Journal of Physiology-Cell Physiology. 327(2). C221–C236. 3 indexed citations
4.
Martínez, Iván, et al.. (2024). More than the SRY: The Non-Coding Landscape of the Y Chromosome and Its Importance in Human Disease. Non-Coding RNA. 10(2). 21–21. 1 indexed citations
5.
Madajewski, Brian, et al.. (2023). NAD(P)H Quinone Oxidoreductase-1 Expression Promotes Self-Renewal and Therapeutic Resistance in Non-Small Cell Lung Cancer. Genes. 14(3). 607–607. 5 indexed citations
6.
Martínez, Iván, et al.. (2023). Bilateral facial nerve palsy as a presentation of coexisting neuroborreliosis and post-acute COVID-19 syndrome. Croatian Medical Journal. 64(6). 440–443. 1 indexed citations
7.
Lee, Katherine S., Ting Y. Wong, Alexander M. Horspool, et al.. (2022). Obesity and metabolic dysfunction drive sex-associated differential disease profiles in hACE2-mice challenged with SARS-CoV-2. iScience. 25(10). 105038–105038. 10 indexed citations
8.
Lee, Katherine S., Ting Y. Wong, Alexander M. Horspool, et al.. (2022). SARS-CoV-2 Delta variant induces enhanced pathology and inflammatory responses in K18-hACE2 mice. PLoS ONE. 17(8). e0273430–e0273430. 25 indexed citations
9.
Barbier, Mariette, Katherine S. Lee, Ting Y. Wong, et al.. (2022). Passive immunization with equine RBD-specific Fab protects K18-hACE2-mice against Alpha or Beta variants of SARS-CoV-2. Frontiers in Immunology. 13. 948431–948431. 4 indexed citations
10.
Varney, Melinda E., et al.. (2022). Prenatal Cadmium Exposure Alters Proliferation in Mouse CD4+ T Cells via LncRNA Snhg7. Frontiers in Immunology. 12. 720635–720635. 8 indexed citations
11.
Horspool, Alexander M., M. Allison Wolf, Paolo Fagone, et al.. (2021). Interplay of Antibody and Cytokine Production Reveals CXCL13 as a Potential Novel Biomarker of Lethal SARS-CoV-2 Infection. mSphere. 6(1). 25 indexed citations
12.
Hayes, Karen E., Samuel A. Sprowls, Erik A. Bey, et al.. (2020). Y Chromosome LncRNA Are Involved in Radiation Response of Male Non–Small Cell Lung Cancer Cells. Cancer Research. 80(19). 4046–4057. 35 indexed citations
14.
Hayes, Karen E., et al.. (2019). Long non-coding RNA FAM83H-AS1 is regulated by human papillomavirus 16 E6 independently of p53 in cervical cancer cells. Scientific Reports. 9(1). 3662–3662. 54 indexed citations
15.
Shepherd, Danielle L., Quincy A. Hathaway, Mark V. Pinti, et al.. (2017). Exploring the mitochondrial microRNA import pathway through Polynucleotide Phosphorylase (PNPase). Journal of Molecular and Cellular Cardiology. 110. 15–25. 71 indexed citations
16.
Evans, Rebecca, et al.. (2016). Bone Marrow Microenvironment Niche Regulates miR-221/222 in Acute Lymphoblastic Leukemia. Molecular Cancer Research. 14(10). 909–919. 33 indexed citations
17.
Martínez, Iván, et al.. (2012). Damage Associated Molecular Pattern Molecule-Induced microRNAs (DAMPmiRs) in Human Peripheral Blood Mononuclear Cells. PLoS ONE. 7(6). e38899–e38899. 30 indexed citations
18.
Martínez, Iván, et al.. (2007). Human papillomavirus type 16 reduces the expression of microRNA-218 in cervical carcinoma cells. Oncogene. 27(18). 2575–2582. 293 indexed citations
19.
Martínez, Iván, et al.. (2006). Identification of differentially expressed genes in HPV-positive and HPV-negative oropharyngeal squamous cell carcinomas. European Journal of Cancer. 43(2). 415–432. 150 indexed citations
20.
Ferris, Robert L., Iván Martínez, Andrés López‐Albaitero, et al.. (2005). Human papillomavirus-16 associated squamous cell carcinoma of the head and neck (SCCHN): A natural disease model provides insights into viral carcinogenesis. European Journal of Cancer. 41(5). 807–815. 79 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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