Mar Royuela

2.7k citations
86 papers · 2.3k · h-index 31

Impact in

    • NF-κB Signaling Pathways
    • Cancer, Lipids, and Metabolism
  • Urology top 5%
    • Urinary Bladder and Prostate Research

Papers in

Mar Royuela

85 papers receiving 2.2k citations

Peers

Mar Royuela
Comparison fields: 5 of 123
  • Cancer Research 378
  • Urology 114
  • Oncology 409
  • Immunology 315
  • Pulmonary and Respiratory Medicine 437
Replace Irma Gimenez‐Conti with:
Irma Gimenez‐Conti United States
Henrik S. Huitfeldt Norway
Silvia Cereghini France
Daekee Lee South Korea
Sébastien Gingras United States
Leen J. Blok Netherlands
M. Edward Kaighn United States
Jean Marie Blanchard France
Natalia V. Bogatcheva United States
Mar Royuela relative to Irma Gimenez‐Conti United States Irma Gimenez‐Conti's profile →
Citations per field
00.5×3.9×
Irma Gimenez‐Conti · 1×
Citations per year

Countries citing papers authored by Mar Royuela

Since Specialization
Citations

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

Fields of papers citing papers by Mar Royuela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001132
2 2011104
3 200396
4 200581
5 200481
6 199973
7 200568
8 200267
9 201964
10 200861
11 200160
12 200657
13 201354
14 200853
15 200351
16
Ultrastructure of invertebrate muscle cell types.
199651
17 200747
18 199846
19 200643
20 200042

About Mar Royuela

Mar Royuela is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Genetics, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), Muscle Physiology and Disorders (11 papers), NF-κB Signaling Pathways (10 papers), Neurobiology and Insect Physiology Research (8 papers), Cell death mechanisms and regulation (6 papers), Exercise and Physiological Responses (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Cancer Research (378 citations), Urology (114 citations), Oncology (409 citations), Immunology (315 citations) and Pulmonary and Respiratory Medicine (437 citations). Mar Royuela has collaborated with scholars based in Spain, France and Finland. Frequent co-authors include Ricardo Paniagua, Benito Fraile, Mónica Ricote, Ignacio García‐Tuñón, M. Isabel Arenas, Fermín Rodríguez de Bethencourt, Gonzalo Rodríguez‐Berriguete, Pilar Martínez-Onsurbe, Manuel Sánchez‐Chapado and María P. De Miguel. Their work appears in journals such as Journal of Muscle Research and Cell Motility, Cytokine, Growth Factors, Microscopy Research and Technique and BMC Cancer.

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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