Iván Martínez
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 4
- RNA Research and Splicing 3
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 9
- NF-κB Signaling Pathways 3
- Co-authors
- Daniel DiMaio (3 shared papers)S A Khan (1 shared paper)Federico A. Monzon (1 shared paper)Amy S. Gardiner (1 shared paper)Robert P. Edwards (1 shared paper)Saleem A. Khan (3 shared papers)Robert L. Ferris (2 shared papers)Joan A. Steitz (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Cancer Research (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (2 papers)European Journal of Cancer (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Iván Martínez
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 709
- Otorhinolaryngology 110
- Aging 25
- Molecular Biology 846
- Epidemiology 177
Countries citing papers authored by Iván Martínez
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
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-authors
The 25 scholars most cited alongside Iván Martínez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 306 | |
| 2 | 2010 | 175 | |
| 3 | 2006 | 158 | |
| 4 | 2014 | 116 | |
| 5 | 2015 | 102 | |
| 6 | 2005 | 84 | |
| 7 | 2017 | 74 | |
| 8 | 2019 | 56 | |
| 9 | 2017 | 54 | |
| 10 | 2011 | 46 | |
| 11 | 2020 | 36 | |
| 12 | 2016 | 34 | |
| 13 | 2012 | 31 | |
| 14 | 2022 | 26 | |
| 15 | 2021 | 26 | |
| 16 | 2021 | 19 | |
| 17 | 2022 | 12 | |
| 18 | 1985 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 7 |
About Iván Martínez
Iván Martínez is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Epidemiology and Oncology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), NF-κB Signaling Pathways (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Cancer Research (709 citations), Otorhinolaryngology (110 citations), Aging (25 citations), Molecular Biology (846 citations) and Epidemiology (177 citations). Iván Martínez has collaborated with scholars based in United States, China and India. Frequent co-authors include Daniel DiMaio, S A Khan, Federico A. Monzon, Amy S. Gardiner, Robert P. Edwards, Saleem A. Khan, Robert L. Ferris, Joan A. Steitz, Demián Cazalla and Jun Wang. Their work appears in journals such as Frontiers in Immunology, Cancer Research, PLoS ONE, Proceedings of the National Academy of Sciences and European Journal of Cancer.
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.