M. Prieto

13.6k citations
190 papers · 8.3k indexed · 2 hit papers · h-index 50

M. Prieto

184 papers receiving 8.1k citations

Hit Papers

Contribution of donor age to the recent decrease in patie...5022000202620082017100200300400500

Peers

M. Prieto
Comparison fields: 5 of 158
  • Hepatology 5.1k
  • Transplantation 677
  • Epidemiology 4.4k
  • Biomaterials 507
  • Developmental Neuroscience 148
Replace Cristina Ripoll with:
Cristina Ripoll Spain
Jan Schmidt Germany
Shigeru Goto Japan
Mohamed Sobh Egypt
Jian Wu China
Jeremy Hughes United Kingdom
Wolfgang Vogel Austria
Ana B. Sanz Spain
TP Ng Hong Kong
Mark Puder United States
M. Prieto relative to Cristina Ripoll Spain Cristina Ripoll's profile →
Citations per field
00.5×10.0×
Cristina Ripoll · 1×
Citations per year

Countries citing papers authored by M. Prieto

Since Specialization
Citations

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

Fields of papers citing papers by M. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20181
4 201815
5 20162
6 201316
7 201164
8 20101
9 20102
10 200921
11 200916
12 2008194
13
Actualización del trasplante hepático en la hepatitis C crónica
20071
14 200511
15
Técnicas de adaptación de presentación de contenidos en sistemas hipermedia adaptativos basados en estilos de aprendizaje
20040
16 2003128
17 20018
18 199533
19 198418
20
Sobre la influencia del transporte en la formación de caras curvas en cristales: 1. Parte teórica
19791

About M. Prieto

M. Prieto is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 190 papers that have together received 8.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (78 papers), Liver Disease Diagnosis and Treatment (70 papers), Liver Disease and Transplantation (54 papers), Hepatitis B Virus Studies (48 papers), Organ Transplantation Techniques and Outcomes (31 papers), Renal Transplantation Outcomes and Treatments (25 papers), biodegradable polymer synthesis and properties (14 papers) and Hormonal Regulation and Hypertension (11 papers). The work is most often cited by research in Hepatology (5.1k citations), Transplantation (677 citations) and Epidemiology (4.4k citations). M. Prieto has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Marina Berenguer, Juan Berenguer, José Mir, Domingo Carrasco, Fernando San Juan, José Miguel Rayón, Victoria Aguilera, L. Gabriel Navar, Hiroyuki Kobori and Juan Córdoba. Their work appears in journals such as Journal of Hepatology, Liver Transplantation, Hepatology, American Journal of Physiology-Renal Physiology and Transplantation.

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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