Mar Orriols

794 total citations
20 papers, 635 citations indexed

About

Mar Orriols is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Mar Orriols has authored 20 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Mar Orriols's work include Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (7 papers) and Microbial metabolism and enzyme function (6 papers). Mar Orriols is often cited by papers focused on Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (7 papers) and Microbial metabolism and enzyme function (6 papers). Mar Orriols collaborates with scholars based in Spain, Netherlands and United Kingdom. Mar Orriols's co-authors include Cristina Rodrı́guez, José Martínez‐González, Peter ten Dijke, Maria Catalina Gomez‐Puerto, Saray Varona, Anna Guadall, María Galán, Mercedes Camacho, Ana M. Briones and María Soledad Avendaño and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Mar Orriols

20 papers receiving 633 citations

Peers

Mar Orriols
Comparison fields: 5 of 79
  • Molecular Biology 285
  • Pulmonary and Respiratory Medicine 241
  • Cardiology and Cardiovascular Medicine 139
  • Immunology 98
  • Surgery 95
Anna Guadall Spain
Ekaterina Legchenko Germany
Saray Varona Spain
Alan R. Olzinski United States
Tan Pham United States
Kamel Boukais France
Jae W. Lee United States
Gary G. Deng United States
Daniel Sieveking Australia
Johanna M. U. Silvola Finland
Anna Guadall Spain View profile →
Citations per field, relative to Mar Orriols
Mar Orriols · 1×
Citations per year, relative to Mar Orriols
Mar Orriols · 1×

Countries citing papers authored by Mar Orriols

Since Specialization
Citations

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

Fields of papers citing papers by Mar Orriols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Orriols

This figure shows the co-authorship network connecting the top 25 collaborators of Mar Orriols. A scholar is included among the top collaborators of Mar Orriols 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 Mar Orriols. Mar Orriols 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 4
2 14
3 4
4 7
5 17
6 23
7 68
8 31
9 88
10 1
11 42
12 93
13 33
14 2
15 51
16 30
17 27
18 6
19 37
20 57

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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