Ignacio Dolado

1.4k citations
23 papers · 1.1k · h-index 12

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Melanoma and MAPK Pathways 8
    • Protein Kinase Regulation and GTPase Signaling 8
    • Cell death mechanisms and regulation 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Cancer-related Molecular Pathways 5
    • Cancer Treatment and Pharmacology 4
    • HER2/EGFR in Cancer Research 3

Ignacio Dolado

23 papers receiving 1.1k citations

Peers

Ignacio Dolado
Comparison fields: 5 of 89
  • Oncology 324
  • Cancer Research 166
  • Molecular Biology 710
  • Pathology and Forensic Medicine 110
  • Toxicology 19
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Citations per field
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Citations per year

Countries citing papers authored by Ignacio Dolado

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ignacio Dolado Line = papers co-authored together Ignacio Dolado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007352
2 2013124
3 2014116
4 2006107
5 200774
6 200566
7 201752
8 200943
9 200538
10 200730
11 200621
12 201717
13 201710
14 20157
15 20175
16 20134
17 20223
18 20193
19 20143
20 20112

About Ignacio Dolado

Ignacio Dolado is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (8 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related Molecular Pathways (5 papers), Cancer Treatment and Pharmacology (4 papers), Cancer Mechanisms and Therapy (3 papers), Cell death mechanisms and regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Oncology (324 citations), Cancer Research (166 citations), Molecular Biology (710 citations), Pathology and Forensic Medicine (110 citations) and Toxicology (19 citations). Ignacio Dolado has collaborated with scholars based in Spain, Switzerland and Germany. Frequent co-authors include Ángel R. Nebreda, Ana Cuadrado, Aneta Swat, Nuria Ajenjo, Gabriella De Vita, Ana Igea, Begoña Cánovas, Philip Cohen, José M. Rojas and Peter Cheung. Their work appears in journals such as Cancer Research, Gynecologic Oncology, Journal of Surgical Oncology, Molecular Cancer Therapeutics and Oncogene.

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.

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