María Prat

7.6k citations
147 papers · 6.2k indexed · 1 hit paper · h-index 39

Impact in

Papers in

María Prat

146 papers receiving 6.0k citations

Hit Papers

Ghrelin and des-acyl ghrelin inhibit cell death in cardiomyocytes and endothelial cells through ERK1/2 and PI 3-kinase/AKT 2002 · 608 citations
6082002202620102018200400600

Peers

María Prat
Comparison fields: 5 of 143
  • Hepatology 1.7k
  • Endocrine and Autonomic Systems 531
  • Biomaterials 632
  • Oncology 1.1k
  • Molecular Biology 2.5k
Replace Yifan Wang with:
Yifan Wang China
Hideki Taniguchi Japan
Andrea Vecchi Italy
Frank Beier Canada
Katsunori Sasaki Japan
József Dudás Austria
Yuhui Huang China
Lorena Zentilin Italy
Andy Peng Xiang China
Pan Zheng United States
María Prat relative to Yifan Wang China Yifan Wang's profile →
Citations per field
00.5×10.8×
Yifan Wang · 1×
Citations per year

Countries citing papers authored by María Prat

Since Specialization
Citations

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

Fields of papers citing papers by María Prat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20231
3 202210
4 202017
5 202013
6 20189
7 201713
8 201733
9 201419
10 201352
11 201122
12 201020
13 201048
14 199152
15 199138
16 198911
17 19876
18 19857
19
Relationship between Rous sarcoma virus-induced expression of membrane antigen and phenotypic transformation.
19795
20 19765

About María Prat

María Prat is a scholar working on Hepatology, Biomaterials, Molecular Biology, Immunology and Oncology, having authored 147 papers that have together received 6.2k indexed citations. Recurring topics across this work include Liver physiology and pathology (34 papers), Glycosylation and Glycoproteins Research (15 papers), Bone Tissue Engineering Materials (15 papers), Nanoparticle-Based Drug Delivery (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), RNA Interference and Gene Delivery (12 papers), Virus-based gene therapy research (11 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Hepatology (1.7k citations), Endocrine and Autonomic Systems (531 citations), Biomaterials (632 citations), Oncology (1.1k citations) and Molecular Biology (2.5k citations). María Prat has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Paolo M. Comoglio, Tiziana Crepaldi, Maria Flavia Di Renzo, Michele Iafisco, Lucia Gandino, Paola Longati, Jaime Gómez‐Morales, Federico Bussolino, Martina Olivero and Pier Giorgio Natali. Their work appears in journals such as International Journal of Cancer, The Journal of Pathology, Journal of Biological Chemistry, Nanomaterials and Molecular and Cellular Biology.

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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