Ángel Ramı́rez

3.1k citations
63 papers · 2.5k · h-index 25

Impact in

Papers in

    • Hedgehog Signaling Pathway Studies 7
    • Wnt/β-catenin signaling in development and cancer 4
    • Animal Genetics and Reproduction 6

Ángel Ramı́rez

62 papers receiving 2.5k citations

Peers

Ángel Ramı́rez
Comparison fields: 5 of 119
  • Urology 279
  • Immunology and Allergy 227
  • Cell Biology 576
  • Dermatology 306
  • Cancer Research 396
Replace Renata Polakowska with:
Renata Polakowska France
Yasuaki Mohri Japan
Catherin Niemann Germany
Anja Saalbach Germany
Paul W. Cook United States
Charles C. Bascom United States
Enzo Calautti United States
Adèle De Arcangelis France
Zhongjian Xie China
Andrea Kolbus Austria
Ángel Ramı́rez relative to Renata Polakowska France Renata Polakowska's profile →
Citations per field
00.5×3.0×
Renata Polakowska · 1×
Citations per year

Countries citing papers authored by Ángel Ramı́rez

Since Specialization
Citations

This map shows the geographic impact of Ángel Ramı́rez'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 Ángel Ramı́rez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ángel Ramı́rez more than expected).

Fields of papers citing papers by Ángel Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel Ramı́rez. 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 Ángel Ramı́rez. The network helps show where Ángel Ramı́rez may publish in the future.

Co-authors

The 25 scholars most cited alongside Ángel Ramı́rez, 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 Ángel Ramı́rez Line = papers co-authored together Ángel Ramı́rez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000300
2 2000224
3 1994182
4 2004161
5
Constitutive expression of insulin-like growth factor-1 in epidermal basal cells of transgenic mice leads to spontaneous tumor promotion.
2000144
6 2000139
7 2005100
8 200292
9 200388
10 202067
11 200567
12 199963
13 200358
14 200153
15 200549
16 200849
17 201043
18 199540
19 200139
20 201236

About Ángel Ramı́rez

Ángel Ramı́rez is a scholar working on Molecular Biology, Genetics, Cell Biology, Cancer Research and Urology, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (13 papers), Skin and Cellular Biology Research (13 papers), Hair Growth and Disorders (11 papers), Hedgehog Signaling Pathway Studies (7 papers), Animal Genetics and Reproduction (6 papers), Cancer-related Molecular Pathways (5 papers), Immune Response and Inflammation (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). The work is most often cited by research in Urology (279 citations), Immunology and Allergy (227 citations), Cell Biology (576 citations), Dermatology (306 citations) and Cancer Research (396 citations). Ángel Ramı́rez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include José L. Jorcano, Ana Bravo, Miguel Vidal, Angustias Page, M. Casanova, Manuel Navarro, Kaoru Kiguchi, John DiGiovanni, David K. Bol and Jesús M. Paramio. Their work appears in journals such as Oncogene, Journal of Investigative Dermatology, Oncotarget, Differentiation and Molecular Endocrinology.

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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