I. Prieto

1.1k citations
57 papers · 838 · h-index 15

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Cancer Cells and Metastasis

Papers in

    • Liver Disease and Transplantation 9
    • Liver physiology and pathology 6
    • Hepatocellular Carcinoma Treatment and Prognosis 3

I. Prieto

53 papers receiving 822 citations

Peers

I. Prieto
Comparison fields: 5 of 81
  • Hepatology 147
  • Oncology 211
  • Cancer Research 89
  • Developmental Neuroscience 21
  • Surgery 202
Replace Roberto Ruiz‐Cordero with:
Roberto Ruiz‐Cordero United States
Angela M. Djanani Austria
Michio Ogawa Japan
Jianmin Xu China
Gerd Berger Germany
Huichuan Yu China
Toshimasa Nakao Japan
Péter Károly Kupcsulik Hungary
Dicken D.H. Koo United Kingdom
I. Prieto relative to Roberto Ruiz‐Cordero United States Roberto Ruiz‐Cordero's profile →
Citations per field
00.5×1.5×2×2.5×
Roberto Ruiz‐Cordero · 1×
Citations per year

Countries citing papers authored by I. Prieto

Since Specialization
Citations

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

Fields of papers citing papers by I. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017143
2 201577
3 201668
4 201955
5 202149
6 202237
7 199836
8 200529
9 200429
10 200924
11 201624
12 201722
13 201520
14 200519
15 200417
16 201014
17 201913
18 201913
19 201112
20 202311

About I. Prieto

I. Prieto is a scholar working on Hepatology, Oncology, Surgery, Otorhinolaryngology and Cancer Research, having authored 57 papers that have together received 838 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (9 papers), Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Head and Neck Cancer Studies (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (147 citations), Oncology (211 citations), Cancer Research (89 citations), Developmental Neuroscience (21 citations) and Surgery (202 citations). I. Prieto has collaborated with scholars based in Spain, United States and Norway. Frequent co-authors include María‐Angeles Aller, Jaime Árias, Maria Paz De Miguel, Gary R. Strichartz, Javier Luna, Enrique Amaya, María-Paz Nava, Antonio Barbáchano, Asunción Fernández‐Barral and Alberto Múñoz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Molecular Oncology, Scientific Reports, Hematological Oncology and Obstetrics and Gynecology.

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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