Ignacio Dolado
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 13
- Cancer-related Molecular Pathways 5
- Cancer Treatment and Pharmacology 4
- HER2/EGFR in Cancer Research 3
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- Melanoma and MAPK Pathways 7
- Protein Kinase Regulation and GTPase Signaling 5
- Cell death mechanisms and regulation 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Ángel R. Nebreda (9 shared papers)Ana Cuadrado (5 shared papers)Aneta Swat (4 shared papers)Nuria Ajenjo (1 shared paper)Gabriella De Vita (1 shared paper)Begoña Cánovas (1 shared paper)Ana Igea (2 shared papers)Philip Cohen (2 shared papers)
- Journals
- Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)EMBO Molecular Medicine (1 paper)Biochemical Journal (1 paper)PROTEOMICS (1 paper)
- Partner nations
- SpainSwitzerlandUnited Kingdom
In The Last Decade
Ignacio Dolado
20 papers receiving 992 citations
Peers
Comparison fields: 5 of 91
- Oncology 333
- Cancer Research 170
- Molecular Biology 695
- Pathology and Forensic Medicine 107
- Toxicology 20
Countries citing papers authored by Ignacio Dolado
This map shows the geographic impact of Ignacio Dolado'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 Ignacio Dolado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Dolado more than expected).
Fields of papers citing papers by Ignacio Dolado
This network shows the impact of papers produced by Ignacio Dolado. 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 Ignacio Dolado. The network helps show where Ignacio Dolado may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Dolado, 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 | 2007 | 336 | |
| 2 | 2013 | 119 | |
| 3 | 2014 | 114 | |
| 4 | 2006 | 102 | |
| 5 | 2007 | 73 | |
| 6 | 2005 | 64 | |
| 7 | 2017 | 51 | |
| 8 | 2009 | 40 | |
| 9 | 2005 | 37 | |
| 10 | 2006 | 21 | |
| 11 | 2017 | 17 | |
| 12 | 2017 | 10 | |
| 13 | 2015 | 7 | |
| 14 | 2017 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2011 | 2 | |
| 20 | 2020 | 1 |
About Ignacio Dolado
Ignacio Dolado is a scholar working on Oncology, Molecular Biology, Reproductive Medicine, Cancer Research and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer Treatment and Pharmacology (4 papers), HER2/EGFR in Cancer Research (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cell death mechanisms and regulation (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (333 citations), Cancer Research (170 citations), Molecular Biology (695 citations), Pathology and Forensic Medicine (107 citations) and Toxicology (20 citations). Ignacio Dolado has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Ángel R. Nebreda, Ana Cuadrado, Aneta Swat, Nuria Ajenjo, Gabriella De Vita, Begoña Cánovas, Ana Igea, Philip Cohen, José M. Rojas and Peter Cheung. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, EMBO Molecular Medicine, Biochemical Journal and PROTEOMICS.
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.