Eva Solá

76 total papers · 2.3k total citations
54 papers, 1.8k citations indexed

About

Eva Solá is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eva Solá has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, Diabetes and Metabolism, 15 papers in Epidemiology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eva Solá's work include Blood properties and coagulation (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Eva Solá is often cited by papers focused on Blood properties and coagulation (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Eva Solá collaborates with scholars based in Spain, Ireland and Bolivia. Eva Solá's co-authors include Antonio Hernández‐Mijares, Milagros Rocha, Víctor M. Víctor, Celia Bañuls, Amparo Vayá, Carlos Morillas, Ana Jover, Francesca Iannantuoni, Irene Escribano‐López and Sandra López‐Domènech and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Free Radical Biology and Medicine.

In The Last Decade

Eva Solá

53 papers receiving 1.7k citations

Hit Papers

Relationship between Oxid... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Eva Solá 486 457 397 317 306 54 1.8k
Ingrid B. Borecki 363 0.7× 527 1.2× 418 1.1× 287 0.9× 394 1.3× 52 2.0k
Raffaele Carraro 514 1.1× 370 0.8× 635 1.6× 287 0.9× 303 1.0× 45 1.7k
F Capani 662 1.4× 439 1.0× 693 1.7× 357 1.1× 312 1.0× 63 2.2k
Milan Obradović 580 1.2× 584 1.3× 432 1.1× 321 1.0× 488 1.6× 78 2.3k
Lin Zhu 271 0.6× 457 1.0× 370 0.9× 311 1.0× 379 1.2× 74 1.8k
Neslihan Bukan 605 1.2× 419 0.9× 389 1.0× 192 0.6× 361 1.2× 92 2.3k
Kum Hyun Han 246 0.5× 545 1.2× 375 0.9× 315 1.0× 314 1.0× 50 2.0k
Lin Ding 403 0.8× 521 1.1× 293 0.7× 246 0.8× 529 1.7× 62 2.0k
Fitsum Guebre‐Egziabher 630 1.3× 584 1.3× 299 0.8× 307 1.0× 439 1.4× 73 2.1k
Erdinç Çakır 332 0.7× 377 0.8× 339 0.9× 354 1.1× 458 1.5× 68 2.2k

Countries citing papers authored by Eva Solá

Since Specialization
Citations

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

Fields of papers citing papers by Eva Solá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Solá

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