Rosa Martinez-Corral

29 total papers · 721 total citations
16 papers, 388 citations indexed

About

Rosa Martinez-Corral is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sociology and Political Science. According to data from OpenAlex, Rosa Martinez-Corral has authored 16 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Sociology and Political Science. Recurrent topics in Rosa Martinez-Corral's work include Gene Regulatory Network Analysis (8 papers), Receptor Mechanisms and Signaling (3 papers) and Protein Structure and Dynamics (3 papers). Rosa Martinez-Corral is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Receptor Mechanisms and Signaling (3 papers) and Protein Structure and Dynamics (3 papers). Rosa Martinez-Corral collaborates with scholars based in United States, Spain and China. Rosa Martinez-Corral's co-authors include Jordi García‐Ojalvo, Gürol M. Süel, Arthur Prindle, Jintao Liu, Joseph Larkin, Jeremy Gunawardena, Jintao Liu, Jintao Liu, Joaquín de Navascués and John Biddle and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Rosa Martinez-Corral

14 papers receiving 381 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rosa Martinez-Corral 238 89 84 73 57 16 388
Christian Westendorf 130 0.5× 72 0.8× 109 1.3× 76 1.0× 66 1.2× 15 443
Ursula Rüffer 131 0.6× 201 2.3× 49 0.6× 112 1.5× 25 0.4× 11 433
Gianfranco Fiore 278 1.2× 32 0.4× 21 0.3× 124 1.7× 72 1.3× 13 406
Julien Dubuis 295 1.2× 36 0.4× 30 0.4× 34 0.5× 60 1.1× 8 390
Steffen Werner 283 1.2× 29 0.3× 101 1.2× 33 0.5× 9 0.2× 18 405
Péter Hantz 212 0.9× 166 1.9× 16 0.2× 49 0.7× 43 0.8× 15 396
Xiaofan Jin 148 0.6× 41 0.5× 48 0.6× 75 1.0× 19 0.3× 19 359
Andrew J. Hirning 318 1.3× 25 0.3× 47 0.6× 128 1.8× 90 1.6× 10 402
Richard W. Branch 211 0.9× 83 0.9× 9 0.1× 84 1.2× 113 2.0× 7 352
Javier Estrada 325 1.4× 26 0.3× 52 0.6× 15 0.2× 65 1.1× 17 407

Countries citing papers authored by Rosa Martinez-Corral

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Martinez-Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Martinez-Corral. 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 Rosa Martinez-Corral. The network helps show where Rosa Martinez-Corral may publish in the future.

Co-authorship network of co-authors of Rosa Martinez-Corral

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

All Works

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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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