Iker Uriarte

2.3k citations
42 papers · 1.2k indexed · h-index 20
  • Hepatology top 2%
    • Liver physiology and pathology 6
  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms 6
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment 8
  • Surgery top 10%
    • Fibroblast Growth Factor Research 12
    • Kruppel-like factors research 6
    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 6
    • RNA Research and Splicing 5

Iker Uriarte

41 papers receiving 1.2k citations

Peers

Iker Uriarte
Comparison fields: 5 of 83
  • Hepatology 427
  • Oncology 297
  • Epidemiology 367
  • Cancer Research 130
  • Surgery 371
Replace Hiroaki Yokomori with:
Hiroaki Yokomori Japan
Harushige Nakatsukasa Japan
Satoru Hasuike Japan
Koujiro Takase Japan
Hiroto Kumemura Japan
Nobuyuki Tamaki Japan
Dominik Kobold Germany
Masahiro Hamanoue Japan
Andrés Peña Spain
Kolade M. Agboola United States
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Citations per field
00.5×1.5×2.2×
Hiroaki Yokomori · 1×
Citations per year

Countries citing papers authored by Iker Uriarte

Since Specialization
Citations

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

Fields of papers citing papers by Iker Uriarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20233
4 20238
5 202111
6 202012
7 202032
8 201836
9 201721
10 201736
11 201741
12 201737
13 201625
14 201419
15 2013143
16 201245
17 201135
18 201017
19 2008147
20 200678

About Iker Uriarte

Iker Uriarte is a scholar working on Hepatology, Physiology and Cancer Research, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (12 papers), Liver Disease Diagnosis and Treatment (8 papers), Liver physiology and pathology (6 papers), Kruppel-like factors research (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hepatology (427 citations), Oncology (297 citations) and Epidemiology (367 citations). Iker Uriarte has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jesús Prìeto, Matías A. Ávila, Carmen Berasain, María U. Latasa, Maite G. Fernández‐Barrena, Jesús M. Bañales, Raquel Urtasun, María Elizalde, Carlos M. Rodríguez‐Ortigosa and Juan Francisco Medina Gallardo. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Investigation and Gastroenterology.

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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