Eva Tomero

92 total papers · 1.8k total citations
31 papers, 465 citations indexed

About

Eva Tomero is a scholar working on Rheumatology, Immunology and Epidemiology. According to data from OpenAlex, Eva Tomero has authored 31 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 15 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Eva Tomero's work include Rheumatoid Arthritis Research and Therapies (10 papers), Systemic Lupus Erythematosus Research (7 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Eva Tomero is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (10 papers), Systemic Lupus Erythematosus Research (7 papers) and Autoimmune and Inflammatory Disorders Research (6 papers). Eva Tomero collaborates with scholars based in Spain, Switzerland and United States. Eva Tomero's co-authors include Rosario García‐Vicuña, Isidoro González‐Álvaro, A Laffón, Ana M. Ortiz, M.Á. Descalzo, Loreto Carmona, Vera Ortiz-Santamaría, Milena Gobbo, M. de Haro and Eugenio de Miguel and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and The American Journal of Medicine.

In The Last Decade

Eva Tomero

29 papers receiving 448 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Tomero 301 150 112 110 78 31 465
Kateřina Jarošová 292 1.0× 139 0.9× 145 1.3× 85 0.8× 131 1.7× 23 503
Haruka Tsuchiya 185 0.6× 195 1.3× 77 0.7× 109 1.0× 68 0.9× 30 502
Masahiro Ayano 186 0.6× 235 1.6× 87 0.8× 93 0.8× 51 0.7× 39 524
Clara Di Mario 189 0.6× 141 0.9× 87 0.8× 102 0.9× 46 0.6× 39 469
Martin Klein 138 0.5× 128 0.9× 170 1.5× 194 1.8× 44 0.6× 34 476
Giuseppe Patuzzo 177 0.6× 221 1.5× 65 0.6× 134 1.2× 94 1.2× 23 534
Gülay Kınıklı 216 0.7× 100 0.7× 50 0.4× 84 0.8× 68 0.9× 54 469
Gloria Martínez-Bonilla 260 0.9× 186 1.2× 44 0.4× 92 0.8× 49 0.6× 38 515
Lucas L. van den Hoogen 206 0.7× 250 1.7× 51 0.5× 100 0.9× 62 0.8× 21 528
Valérie Badot 220 0.7× 142 0.9× 63 0.6× 49 0.4× 56 0.7× 26 409

Countries citing papers authored by Eva Tomero

Since Specialization
Citations

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

Fields of papers citing papers by Eva Tomero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Tomero

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