Iker Badiola
Impact in
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- MicroRNA in disease regulation
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- RNA Interference and Gene Delivery 4
- Circular RNAs in diseases 4
- RNA modifications and cancer 3
- Oncology 12
- Cancer Cells and Metastasis 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Alejandro Sánchez (5 shared papers)Elvira Olaso (5 shared papers)Olatz Crende (6 shared papers)Abdel‐Majid Khatib (11 shared papers)Joana Márquez (8 shared papers)Gaskon Ibarretxe (6 shared papers)Fernando Vidal‐Vanaclocha (3 shared papers)Fernando Unda (4 shared papers)
- Journals
- Cancers (5 papers)Cancer Research (4 papers)Biology (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)Ageing Research Reviews (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Iker Badiola
34 papers receiving 568 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 120
- Immunology and Allergy 43
- Oncology 114
- Molecular Biology 280
- Food Science 58
Countries citing papers authored by Iker Badiola
This map shows the geographic impact of Iker Badiola'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 Iker Badiola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iker Badiola more than expected).
Fields of papers citing papers by Iker Badiola
This network shows the impact of papers produced by Iker Badiola. 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 Iker Badiola. The network helps show where Iker Badiola may publish in the future.
Co-authors
The 25 scholars most cited alongside Iker Badiola, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 97 | |
| 2 | 2006 | 74 | |
| 3 | 2011 | 60 | |
| 4 | 2018 | 41 | |
| 5 | 2020 | 33 | |
| 6 | 2012 | 26 | |
| 7 | 2018 | 22 | |
| 8 | 2016 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2015 | 19 | |
| 11 | 2017 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2018 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2021 | 8 | |
| 20 | 2013 | 6 |
About Iker Badiola
Iker Badiola is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Immunology and Allergy, having authored 38 papers that have together received 575 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cell Adhesion Molecules Research (5 papers), RNA Interference and Gene Delivery (4 papers), Circular RNAs in diseases (4 papers), Cancer Cells and Metastasis (3 papers), RNA modifications and cancer (3 papers), Liver physiology and pathology (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (120 citations), Immunology and Allergy (43 citations), Oncology (114 citations), Molecular Biology (280 citations) and Food Science (58 citations). Iker Badiola has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Alejandro Sánchez, Elvira Olaso, Olatz Crende, Abdel‐Majid Khatib, Joana Márquez, Gaskon Ibarretxe, Fernando Vidal‐Vanaclocha, Fernando Unda, Scott L. Friedman and Carl‐Henrik Brogren. Their work appears in journals such as Cancers, Cancer Research, Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Ageing Research Reviews.
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.