Eduardo Tormo
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Angiogenesis and VEGF in Cancer
- RNA Interference and Gene Delivery
- Metabolism, Diabetes, and Cancer
Papers in
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- Angiogenesis and VEGF in Cancer 3
- Circular RNAs in diseases 2
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- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Pîlar Eroles (20 shared papers)Aňa Lluch (16 shared papers)Sandra Ballester (5 shared papers)Begoña Pineda (6 shared papers)Anna Adam‐Artigues (6 shared papers)Federico Rojo (9 shared papers)Joan Albanell (6 shared papers)Ana Rovira (6 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Annals of Oncology (2 papers)Scientific Reports (2 papers)Journal of Clinical Oncology (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- SpainUnited StatesPortugal
In The Last Decade
Eduardo Tormo
20 papers receiving 398 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 227
- Molecular Biology 255
- Oncology 87
- Geriatrics and Gerontology 5
- Computational Mathematics 1
Countries citing papers authored by Eduardo Tormo
This map shows the geographic impact of Eduardo Tormo'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 Eduardo Tormo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eduardo Tormo more than expected).
Fields of papers citing papers by Eduardo Tormo
This network shows the impact of papers produced by Eduardo Tormo. 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 Eduardo Tormo. The network helps show where Eduardo Tormo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eduardo Tormo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2017 | 62 | |
| 3 | 2014 | 55 | |
| 4 | 2012 | 48 | |
| 5 | 2016 | 44 | |
| 6 | 2015 | 30 | |
| 7 | 2021 | 20 | |
| 8 | 2020 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2015 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2013 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2018 | 1 |
About Eduardo Tormo
Eduardo Tormo is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 399 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer, Lipids, and Metabolism (2 papers), Circular RNAs in diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Peptidase Inhibition and Analysis (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (227 citations), Molecular Biology (255 citations), Oncology (87 citations), Geriatrics and Gerontology (5 citations) and Computational Mathematics (1 citation). Eduardo Tormo has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Pîlar Eroles, Aňa Lluch, Sandra Ballester, Begoña Pineda, Anna Adam‐Artigues, Federico Rojo, Joan Albanell, Ana Rovira, Octavio Burgués and Sandra Zazo. Their work appears in journals such as International Journal of Molecular Sciences, Annals of Oncology, Scientific Reports, Journal of Clinical Oncology and Cell Death Discovery.
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.