Anna Curto

1.0k citations
6 papers · 164 · h-index 4

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
  • Pharmacology top 10%
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Anna Curto

5 papers receiving 162 citations

Peers

Anna Curto
Comparison fields: 5 of 42
  • Hepatology 99
  • Pharmacology 44
  • Epidemiology 116
  • Clinical Biochemistry 10
  • Biochemistry 6
Replace М. V. Maevskaya with:
М. V. Maevskaya Russia
R.D. Abeles United Kingdom
Georgios Kalopitas Greece
Maximilian Joseph Brol Germany
Paloma Sanz Spain
Aki Juhani Käräjämäki Finland
Marta Flisiak‐Jackiewicz Poland
A Masini Italy
Angus Livingstone United Kingdom
Adrian Barnardo United Kingdom
Anna Curto relative to М. V. Maevskaya Russia М. V. Maevskaya's profile →
Citations per field
00.5×1.5×2.5×
М. V. Maevskaya · 1×
Citations per year

Countries citing papers authored by Anna Curto

Since Specialization
Citations

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

Fields of papers citing papers by Anna Curto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202166
2 202054
3 202133
4 20229
5 20172
6 20250

About Anna Curto

Anna Curto is a scholar working on Hepatology, Epidemiology, Pharmacology, Molecular Biology and Pathology and Forensic Medicine, having authored 6 papers that have together received 164 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Metabolism and Genetic Disorders (1 paper), Micro and Nano Robotics (1 paper), Intracranial Aneurysms: Treatment and Complications (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (99 citations), Pharmacology (44 citations), Epidemiology (116 citations), Clinical Biochemistry (10 citations) and Biochemistry (6 citations). Anna Curto has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Joan Clària, Vicente Arroyo, Juan José Lozano, Ferrán Aguilar, Cristina López‐Vicario, Ingrid W. Zhang, Javier Fernández, Benoît Colsch, Roger Flores‐Costa and François Fenaille. Their work appears in journals such as Journal of Hepatology, Hepatology Communications, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Journal of Imaging Informatics in Medicine.

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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