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 ⓘ
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 10
- NF-κB Signaling Pathways 3
- Co-authors
- Daniel DiMaio (3 shared papers)Robert P. Edwards (1 shared paper)S A Khan (1 shared paper)Federico A. Monzon (1 shared paper)Amy S. Gardiner (1 shared paper)Saleem A. Khan (3 shared papers)Robert L. Ferris (2 shared papers)Joan A. Steitz (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Frontiers in Immunology (2 papers)European Journal of Cancer (2 papers)Applied Sciences (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Iván Martínez
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 760
- Otorhinolaryngology 114
- Aging 24
- Molecular Biology 935
- Oncology 152
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 | 293 | |
| 2 | 2010 | 172 | |
| 3 | 2006 | 150 | |
| 4 | 2014 | 112 | |
| 5 | 2015 | 97 | |
| 6 | 2005 | 79 | |
| 7 | 2017 | 71 | |
| 8 | 2019 | 54 | |
| 9 | 2017 | 50 | |
| 10 | 2011 | 45 | |
| 11 | 2020 | 35 | |
| 12 | 2016 | 33 | |
| 13 | 2012 | 30 | |
| 14 | 2021 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2021 | 19 | |
| 17 | 2022 | 10 | |
| 18 | 1985 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 7 |
About Iván Martínez
Iván Martínez is a scholar working on Cancer Research, Applied Microbiology and Biotechnology, Infectious Diseases, Toxicology and Molecular Biology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers), RNA modifications and cancer (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), RNA Research and Splicing (3 papers), COVID-19 Clinical Research Studies (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Cancer Research (760 citations), Otorhinolaryngology (114 citations), Aging (24 citations), Molecular Biology (935 citations) and Oncology (152 citations). Iván Martínez has collaborated with scholars based in United States, China and India. Frequent co-authors include Daniel DiMaio, Robert P. Edwards, S A Khan, Federico A. Monzon, Amy S. Gardiner, Saleem A. Khan, Robert L. Ferris, Joan A. Steitz, Demián Cazalla and Jun Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Frontiers in Immunology, European Journal of Cancer, Applied Sciences and Cancer Research.
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.