Marta Díaz‐Martínez

37 total papers · 418 total citations
7 papers, 326 citations indexed

About

Marta Díaz‐Martínez is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Marta Díaz‐Martínez has authored 7 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Marta Díaz‐Martínez's work include Melanoma and MAPK Pathways (3 papers), Cell Adhesion Molecules Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Marta Díaz‐Martínez is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Cell Adhesion Molecules Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Marta Díaz‐Martínez collaborates with scholars based in Spain and United States. Marta Díaz‐Martínez's co-authors include Joaquı́n Teixidó, Eva Hernando, Lola Alonso, Mónica Martínez‐Moreno, Azucena Esparís‐Ogando, Keith T. Flaherty, Dennie T. Frederick, Ryan J. Sullivan, Genevieve M. Boland and Douglas Hanniford and has published in prestigious journals such as Cancer Research, Science Advances and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Marta Díaz‐Martínez

7 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Marta Díaz‐Martínez 238 125 111 81 39 7 326
Subrata Manna 179 0.8× 106 0.8× 124 1.1× 78 1.0× 41 1.1× 12 359
Yael Morgenstern 226 0.9× 60 0.5× 118 1.1× 86 1.1× 29 0.7× 9 363
Justin Mastroianni 235 1.0× 126 1.0× 112 1.0× 77 1.0× 49 1.3× 11 361
Chandrika Jeyamohan 224 0.9× 144 1.2× 89 0.8× 35 0.4× 26 0.7× 9 355
G. Tjitske Los-de Vries 187 0.8× 61 0.5× 85 0.8× 35 0.4× 60 1.5× 5 273
Jessica C. Walrath 137 0.6× 67 0.5× 86 0.8× 37 0.5× 20 0.5× 7 334
Keith Giza 170 0.7× 101 0.8× 51 0.5× 172 2.1× 34 0.9× 7 357
Kelli Gaskins 206 0.9× 100 0.8× 104 0.9× 35 0.4× 18 0.5× 9 338
Weijie Song 190 0.8× 78 0.6× 87 0.8× 38 0.5× 19 0.5× 11 270
Ramona Wullenkord 233 1.0× 53 0.4× 127 1.1× 27 0.3× 48 1.2× 7 326

Countries citing papers authored by Marta Díaz‐Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Marta Díaz‐Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Díaz‐Martínez. 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 Marta Díaz‐Martínez. The network helps show where Marta Díaz‐Martínez may publish in the future.

Co-authorship network of co-authors of Marta Díaz‐Martínez

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Díaz‐Martínez. A scholar is included among the top collaborators of Marta Díaz‐Martínez 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 Marta Díaz‐Martínez. Marta Díaz‐Martínez 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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