Marı́a Cascales

1.7k total citations
60 papers, 1.5k citations indexed

About

Marı́a Cascales is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Marı́a Cascales has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Pharmacology and 15 papers in Epidemiology. Recurrent topics in Marı́a Cascales's work include Drug-Induced Hepatotoxicity and Protection (15 papers), Liver Disease Diagnosis and Treatment (12 papers) and Amino Acid Enzymes and Metabolism (6 papers). Marı́a Cascales is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (15 papers), Liver Disease Diagnosis and Treatment (12 papers) and Amino Acid Enzymes and Metabolism (6 papers). Marı́a Cascales collaborates with scholars based in Spain, United Kingdom and United States. Marı́a Cascales's co-authors include Carmen Dı́ez-Fernández, David Aguinaga, N. Sanz, Alberto Álvarez, Lisardo Boscá, Paloma Martı́n-Sanz, Marı́a Isabel Sánchez-Reus, Inmaculada Bando, Juana Benedı́ and Mirandeli Bautista and has published in prestigious journals such as Nature, Hepatology and Biochemistry.

In The Last Decade

Marı́a Cascales

58 papers receiving 1.5k citations

Peers

Marı́a Cascales
Comparison fields: 5 of 108
  • Molecular Biology 478
  • Pharmacology 390
  • Hepatology 295
  • Epidemiology 274
  • Physiology 201
Replace F C Kauffman with:
F C Kauffman United States
Carmen Dı́ez-Fernández Spain
Gaia Robino Italy
Ada Serroni United States
Cristina E. Carnovale Argentina
Otto Kučera Czechia
O. Strubelt Germany
Shinzo Kato Japan
Lora E. Rikans United States
C.‐P. Siegers Germany
F C Kauffman United States View profile →
Citations per field, relative to Marı́a Cascales
Marı́a Cascales · 1×
Citations per year, relative to Marı́a Cascales
Marı́a Cascales · 1×

Countries citing papers authored by Marı́a Cascales

Since Specialization
Citations

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

Fields of papers citing papers by Marı́a Cascales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marı́a Cascales

This figure shows the co-authorship network connecting the top 25 collaborators of Marı́a Cascales. A scholar is included among the top collaborators of Marı́a Cascales 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 Marı́a Cascales. Marı́a Cascales is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 6
2 12
3 46
4 67
5 63
6 41
7 14
8 26
9 45
10 41
11 6
12 7
13 61
14 26
15 17
16 46
17 28
18 24
19 4
20 8

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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