Ágatha Martín

86 total papers · 492 total citations
15 papers, 323 citations indexed

About

Ágatha Martín is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Ágatha Martín has authored 15 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Ágatha Martín's work include Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Ágatha Martín is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Ágatha Martín collaborates with scholars based in Spain, United Kingdom and Belgium. Ágatha Martín's co-authors include Federico Mayor, José Miguel Rodríguez‐Frade, Antonio Serrano, Carlos Martı́nez-A, Anna M. Aragay, Antonio J. Vila‐Coro, Mario Mellado, Gustavo del Real, María Pellisé and Saray Durán-Sanchón and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and Gastroenterology.

In The Last Decade

Ágatha Martín

11 papers receiving 314 citations

Author Peers

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

Author Last Decade Papers Cites
Ágatha Martín 210 108 105 68 43 15 323
Cuihong Wei 147 0.7× 89 0.8× 118 1.1× 57 0.8× 59 1.4× 16 366
Gloria E. Marino 159 0.8× 61 0.6× 118 1.1× 38 0.6× 57 1.3× 18 319
Péter Orosz 123 0.6× 138 1.3× 139 1.3× 96 1.4× 38 0.9× 11 360
Perrine Garde‐Granger 166 0.8× 117 1.1× 123 1.2× 52 0.8× 36 0.8× 12 347
Asuka Kobayashi 172 0.8× 138 1.3× 124 1.2× 54 0.8× 37 0.9× 15 358
Masaru Noda 147 0.7× 134 1.2× 157 1.5× 80 1.2× 44 1.0× 17 331
Nicholas Talarico 91 0.4× 97 0.9× 136 1.3× 68 1.0× 54 1.3× 12 356
C Annicchiarico 116 0.6× 105 1.0× 137 1.3× 48 0.7× 19 0.4× 20 358
Francis G Gabriel 165 0.8× 99 0.9× 141 1.3× 76 1.1× 49 1.1× 11 357
Neşe Güney 123 0.6× 52 0.5× 117 1.1× 58 0.9× 74 1.7× 20 344

Countries citing papers authored by Ágatha Martín

Since Specialization
Citations

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

Fields of papers citing papers by Ágatha Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ágatha Martín

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