Ana Martínez‐Feito

87 total papers · 543 total citations
49 papers, 335 citations indexed

About

Ana Martínez‐Feito is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Ana Martínez‐Feito has authored 49 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Rheumatology, 16 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Immunology. Recurrent topics in Ana Martínez‐Feito's work include Rheumatoid Arthritis Research and Therapies (30 papers), Systemic Lupus Erythematosus Research (17 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Ana Martínez‐Feito is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (30 papers), Systemic Lupus Erythematosus Research (17 papers) and Monoclonal and Polyclonal Antibodies Research (16 papers). Ana Martínez‐Feito collaborates with scholars based in Spain, Netherlands and United States. Ana Martínez‐Feito's co-authors include Borja Hernández‐Breijo, Alejandro Balsa, Dora Pascual‐Salcedo, Theo Rispens, Karien Bloem, Chamaida Plasencia‐Rodríguez, Laura Nuño, Teresa Jurado‐Guerrero, Victoria Navarro‐Compán and Alejandro Villalba and has published in prestigious journals such as Scientific Reports, Annals of the Rheumatic Diseases and Frontiers in Immunology.

In The Last Decade

Ana Martínez‐Feito

43 papers receiving 329 citations

Author Peers

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

Author Last Decade Papers Cites
Ana Martínez‐Feito 177 175 103 46 45 49 335
Ewa Więsik–Szewczyk 184 1.0× 119 0.7× 46 0.4× 39 0.8× 26 0.6× 55 350
Ruxandra Ionescu 139 0.8× 136 0.8× 25 0.2× 40 0.9× 21 0.5× 37 300
N Thumb 79 0.4× 163 0.9× 89 0.9× 26 0.6× 10 0.2× 48 355
Akira Hatakeyama 118 0.7× 116 0.7× 104 1.0× 31 0.7× 18 0.4× 29 383
Sze Fai Yip 93 0.5× 119 0.7× 15 0.1× 108 2.3× 22 0.5× 30 341
Kalden 122 0.7× 162 0.9× 31 0.3× 40 0.9× 56 1.2× 36 374
E. Keystone 86 0.5× 259 1.5× 48 0.5× 109 2.4× 59 1.3× 26 356
Sophie Mayer 142 0.8× 28 0.2× 30 0.3× 42 0.9× 19 0.4× 47 313
Mei Liu 101 0.6× 67 0.4× 55 0.5× 31 0.7× 28 0.6× 30 381
Kumiko Shimoyama 70 0.4× 92 0.5× 23 0.2× 62 1.3× 43 1.0× 30 342

Countries citing papers authored by Ana Martínez‐Feito

Since Specialization
Citations

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

Fields of papers citing papers by Ana Martínez‐Feito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana Martínez‐Feito

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