Xabier Agirre

11.7k citations
110 papers · 4.9k indexed · 2 hit papers · h-index 39

Xabier Agirre

108 papers receiving 4.9k citations

Hit Papers

Lipid nanop...1052006202620122019200400600

Peers

Xabier Agirre
Comparison fields: 5 of 123
  • Cancer Research 2.2k
  • Hematology 852
  • Molecular Biology 3.9k
  • Genetics 424
  • Oncology 551
Replace Michael G. Kharas with:
Michael G. Kharas United States
Mireia Castillo-Martín United States
Isidro Sánchez‐García Spain
Min Luo China
Dalong Qian United States
Cornelius Miething Germany
Ignacio Varela Spain
Karlheinz Holzmann Germany
Dennis K. Watson United States
Jan Jacob Schuringa Netherlands
Xabier Agirre relative to Michael G. Kharas United States Michael G. Kharas's profile →
Citations per field
00.5×1.5×
Michael G. Kharas · 1×
Citations per year

Countries citing papers authored by Xabier Agirre

Since Specialization
Citations

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

Fields of papers citing papers by Xabier Agirre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20247
3 20240
4 20247
5 20227
6 202211
7 202111
8 202176
9 2019140
10 201378
11 201253
12 20129
13 201268
14 201145
15 201147
16 201061
17 2009242
18 2008173
19 200757
20
Identification by Real-time PCR of 13 mature microRNAs differentially expressed in colorectal cancer and non-tumoral tissues.breakdown →
2006706

About Xabier Agirre

Xabier Agirre is a scholar working on Hematology, Genetics and Cancer Research, having authored 110 papers that have together received 4.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (33 papers), Acute Myeloid Leukemia Research (22 papers), Cancer-related gene regulation (16 papers), RNA modifications and cancer (16 papers), MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers), Acute Lymphoblastic Leukemia research (13 papers) and Histone Deacetylase Inhibitors Research (11 papers). The work is most often cited by research in Cancer Research (2.2k citations), Hematology (852 citations) and Molecular Biology (3.9k citations). Xabier Agirre has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Felipe Prósper, José Román‐Gómez, Eva Bandrés, Edurne San José‐Eneriz, Marı́a José Calasanz, Jesús García‐Foncillas, Ruth Zárate, Natalia Ramírez, Leire Gárate and Antonio Jiménez‐Velasco. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.

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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