Mariona Calvo

762 total citations
20 papers, 344 citations indexed

About

Mariona Calvo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Mariona Calvo has authored 20 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 4 papers in Surgery. Recurrent topics in Mariona Calvo's work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Mariona Calvo is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Mariona Calvo collaborates with scholars based in Spain, United States and Italy. Mariona Calvo's co-authors include Carlota Gudiol, Jordi Carratalà, Carmen Ardanuy, Carolina García‐Vidal, Mar Marín, Montserrat Arnán, Maite G. Fernández‐Barrena, Isabel Fabregat, Pablo Sarobe and Matías A. Ávila and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Hepatology.

In The Last Decade

Mariona Calvo

16 papers receiving 343 citations

Peers

Mariona Calvo
Comparison fields: 5 of 68
  • Oncology 179
  • Clinical Biochemistry 86
  • Epidemiology 77
  • Molecular Biology 74
  • Molecular Medicine 57
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Jin‐Tae Suh South Korea
Michiya Yokozaki Japan
Mark Hastings United Kingdom
Adaia Albasanz‐Puig Spain
Ji Young Ahn South Korea
Kiriko Terasako‐Saito Japan
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O Kellner Germany
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V. Rodríguez United States
Jin‐Tae Suh South Korea View profile →
Citations per field, relative to Mariona Calvo
Mariona Calvo · 1×
Citations per year, relative to Mariona Calvo
Mariona Calvo · 1×

Countries citing papers authored by Mariona Calvo

Since Specialization
Citations

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

Fields of papers citing papers by Mariona Calvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariona Calvo

This figure shows the co-authorship network connecting the top 25 collaborators of Mariona Calvo. A scholar is included among the top collaborators of Mariona Calvo 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 Mariona Calvo. Mariona Calvo 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 0
2 2
3 6
4 0
5 6
6 3
7 0
8 1
9 0
10 17
11 71
12 1
13 3
14 16
15 4
16 43
17 6
18 92
19 9
20 64

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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