Eva Martínez

33 total papers · 506 total citations
21 papers, 309 citations indexed

About

Eva Martínez is a scholar working on Physiology, Surgery and Epidemiology. According to data from OpenAlex, Eva Martínez has authored 21 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Eva Martínez's work include Bariatric Surgery and Outcomes (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Adipose Tissue and Metabolism (4 papers). Eva Martínez is often cited by papers focused on Bariatric Surgery and Outcomes (7 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Adipose Tissue and Metabolism (4 papers). Eva Martínez collaborates with scholars based in Spain, United States and Palestinian Territory. Eva Martínez's co-authors include Manel Puig‐Domingo, Sílvia Pellitero, Pau Moreno, María Luisa Granada, José M. Balibrea, R. Romero, Assumpta Serra, Maruja Navarro-Díaz, A Alastrué and Rocío Puig and has published in prestigious journals such as The American Journal of Surgery, European Journal of Endocrinology and Clinical Nutrition.

In The Last Decade

Eva Martínez

17 papers receiving 302 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 Martínez 99 96 85 43 38 21 309
Salvatore Tramontano 191 1.9× 120 1.3× 34 0.4× 11 0.3× 22 0.6× 27 309
Ming-Chung Lin 45 0.5× 69 0.7× 36 0.4× 12 0.3× 14 0.4× 18 282
Amelia Caretto 61 0.6× 129 1.3× 155 1.8× 5 0.1× 25 0.7× 22 348
JH Barth 23 0.2× 37 0.4× 87 1.0× 18 0.4× 24 0.6× 19 333
Sowmya Krishnan 51 0.5× 50 0.5× 111 1.3× 9 0.2× 19 0.5× 25 328
Carlota Tuero 99 1.0× 157 1.6× 42 0.5× 18 0.4× 142 3.7× 14 348
MI Arslan 51 0.5× 25 0.3× 71 0.8× 8 0.2× 34 0.9× 31 305
Sang-Hee Jung 63 0.6× 60 0.6× 61 0.7× 17 0.4× 86 2.3× 13 326
Mohamed Saleem 114 1.2× 17 0.2× 72 0.8× 20 0.5× 26 0.7× 22 318
Makoto Nara 47 0.5× 116 1.2× 116 1.4× 8 0.2× 115 3.0× 23 362

Countries citing papers authored by Eva Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Eva Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Martínez

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