Ignacio Dolado

1.3k citations
20 papers · 1.0k indexed · h-index 11

Impact in

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

Papers in

    • Cancer-related Molecular Pathways 5
    • Cancer Treatment and Pharmacology 4
    • HER2/EGFR in Cancer Research 3
    • Ovarian cancer diagnosis and treatment 3

Ignacio Dolado

20 papers receiving 992 citations

Peers

Ignacio Dolado
Comparison fields: 5 of 91
  • Oncology 333
  • Cancer Research 170
  • Molecular Biology 695
  • Pathology and Forensic Medicine 107
  • Toxicology 20
Replace Michele Tavecchio with:
Michele Tavecchio United States
Ana Igea Spain
Denis E. Reyna United States
Hwang‐Phill Kim South Korea
Ji Nie China
Tríona Ní Chonghaile Ireland
Abde M. Abukhdeir United States
Jingshan Tong United States
Rohit Chugh United States
Jiateng Zhong China
Ignacio Dolado relative to Michele Tavecchio United States Michele Tavecchio's profile →
Citations per field
00.5×1.5×
Michele Tavecchio · 1×
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-authorship network

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
#Work
1 20223
2 20201
3 20193
4 201710
5 20175
6 201751
7 201717
8 20157
9 2014114
10 20143
11 2013119
12 20134
13 20112
14 200940
15 2007336
16 200773
17 2006102
18 200621
19 200564
20 200537

About Ignacio Dolado

Ignacio Dolado is a scholar working on Oncology, Reproductive Medicine, Cancer Research, Molecular Biology and Hepatology, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer Treatment and Pharmacology (4 papers), Ovarian cancer diagnosis and treatment (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cell death mechanisms and regulation (3 papers) and HER2/EGFR in Cancer Research (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.

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