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
-
- Cancer-related molecular mechanisms research 11
- MicroRNA in disease regulation 10
- NF-κB Signaling Pathways 3
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 6
- Co-authors
- Daniel DiMaio (4 shared papers)Federico A. Monzon (1 shared paper)Amy S. Gardiner (1 shared paper)S A Khan (1 shared paper)Robert P. Edwards (1 shared paper)Saleem Ahmad Khan (3 shared papers)Robert Louis Ferris (2 shared papers)JOAN ARGETSINGER STEITZ (2 shared papers)
- Journals
- PLoS ONE (2 papers)Aging (2 papers)Cancer Research (2 papers)Applied Sciences (2 papers)European Journal of Cancer (2 papers)
- Partner nations
- United StatesChinaCroatia
In The Last Decade
Iván Martínez
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 750
- Otorhinolaryngology 110
- Aging 26
- Molecular Biology 904
- Epidemiology 199
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 306 | |
| 2 | 2010 | 181 | |
| 3 | 2006 | 160 | |
| 4 | 2014 | 121 | |
| 5 | 2015 | 103 | |
| 6 | 2005 | 84 | |
| 7 | 2017 | 75 | |
| 8 | 2019 | 58 | |
| 9 | 2017 | 56 | |
| 10 | 2011 | 47 | |
| 11 | 2016 | 36 | |
| 12 | 2020 | 35 | |
| 13 | 2022 | 33 | |
| 14 | 2012 | 32 | |
| 15 | 2021 | 30 | |
| 16 | 2022 | 28 | |
| 17 | 2011 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2022 | 14 |
About Iván Martínez
Iván Martínez is a scholar working on Cancer Research, Infectious Diseases, Molecular Biology, Epidemiology and Oncology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Cancer Research (750 citations), Otorhinolaryngology (110 citations), Aging (26 citations), Molecular Biology (904 citations) and Epidemiology (199 citations). Iván Martínez has collaborated with scholars based in United States, China and Croatia. Frequent co-authors include Daniel DiMaio, Federico A. Monzon, Amy S. Gardiner, S A Khan, Robert P. Edwards, Saleem Ahmad Khan, Robert Louis Ferris, JOAN ARGETSINGER STEITZ, Demián Cazalla and Jun Wang. Their work appears in journals such as PLoS ONE, Aging, Cancer Research, Applied 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.