Maria Ruart

618 total citations · 1 hit paper
9 papers, 478 citations indexed

About

Maria Ruart is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Maria Ruart has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Hepatology and 2 papers in Surgery. Recurrent topics in Maria Ruart's work include Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Liver Disease and Transplantation (3 papers). Maria Ruart is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Liver Disease and Transplantation (3 papers). Maria Ruart collaborates with scholars based in Spain, Switzerland and United States. Maria Ruart's co-authors include Virginia Hernández–Gea, Jaume Bosch, Juan Carlos García‐Pagán, Erica Lafoz, Carla Montironi, Sergi Guixé‐Muntet, Genís Campreciós, Scott L. Friedman, Laia Chavarria and Lucía Peña and has published in prestigious journals such as Journal of Hepatology, European Journal of Immunology and Nutrients.

In The Last Decade

Maria Ruart

8 papers receiving 469 citations

Hit Papers

Impaired endothelial autophagy promotes liver fibrosis by... 2018 2026 2020 2023 2018 50 100 150 200

Peers

Maria Ruart
Comparison fields: 5 of 65
  • Epidemiology 258
  • Hepatology 189
  • Molecular Biology 124
  • Surgery 81
  • Physiology 64
Replace Nobuhito Taniki with:
Nobuhito Taniki Japan
Hyo‐Suk Lee South Korea
H Moriwaki Japan
Xiaochun Ma China
Akemi Tsutsui Japan
Mehdi Ramezani–Moghadam Australia
Silvia Lucano‐Landeros Mexico
Sara Aleffi Italy
Jinsol Han South Korea
Nobuhito Taniki Japan View profile →
Citations per field, relative to Maria Ruart
Maria Ruart · 1×
Citations per year, relative to Maria Ruart
Maria Ruart · 1×

Countries citing papers authored by Maria Ruart

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ruart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ruart

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Ruart. A scholar is included among the top collaborators of Maria Ruart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Ruart. Maria Ruart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 13
3 7
4 72
5 4
6 104
7
Impaired endothelial autophagy promotes liver fibrosis by aggravating the oxidative stress response during acute liver injury breakdown →
226
8 8
9 44

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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