Joana Márquez

34 total papers · 489 total citations
26 papers, 369 citations indexed

About

Joana Márquez is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Joana Márquez has authored 26 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Joana Márquez's work include Cell Adhesion Molecules Research (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Joana Márquez is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (4 papers). Joana Márquez collaborates with scholars based in Spain, Germany and France. Joana Márquez's co-authors include Elvira Olaso, Aitor Benedicto, Beatriz Arteta, Iker Badiola, Eduardo Sanz, Bård Smedsrød, Marcos J. Araúzo‐Bravo, Elżbieta Kołaczkowska, Alejandro Sánchez and Kai Stühler and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Joana Márquez

24 papers receiving 363 citations

Author Peers

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

Author Last Decade Papers Cites
Joana Márquez 172 114 80 69 47 26 369
D. R. Bard 103 0.6× 68 0.6× 47 0.6× 37 0.5× 32 0.7× 25 425
Zhen Feng 246 1.4× 130 1.1× 92 1.1× 23 0.3× 30 0.6× 24 440
Liting Lu 262 1.5× 107 0.9× 113 1.4× 35 0.5× 37 0.8× 23 419
Ting Wang 155 0.9× 109 1.0× 61 0.8× 61 0.9× 21 0.4× 30 345
Tung‐Cheng Chang 168 1.0× 218 1.9× 87 1.1× 32 0.5× 65 1.4× 34 446
H Ichihashi 138 0.8× 151 1.3× 44 0.6× 79 1.1× 70 1.5× 46 392
Duygu Derin 178 1.0× 181 1.6× 81 1.0× 60 0.9× 79 1.7× 24 423
Shengjie Dai 204 1.2× 101 0.9× 104 1.3× 48 0.7× 30 0.6× 31 430
Haibo Mou 128 0.7× 115 1.0× 71 0.9× 63 0.9× 60 1.3× 28 361
Yuanyi Wei 193 1.1× 75 0.7× 69 0.9× 30 0.4× 27 0.6× 29 341

Countries citing papers authored by Joana Márquez

Since Specialization
Citations

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

Fields of papers citing papers by Joana Márquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joana Márquez

This figure shows the co-authorship network connecting the top 25 collaborators of Joana Márquez. A scholar is included among the top collaborators of Joana Márquez 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 Joana Márquez. Joana Márquez 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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