María Goya

135 total papers · 2.2k total citations
69 papers, 1.1k citations indexed

About

María Goya is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, María Goya has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 29 papers in Public Health, Environmental and Occupational Health and 27 papers in Obstetrics and Gynecology. Recurrent topics in María Goya's work include Preterm Birth and Chorioamnionitis (30 papers), Pregnancy-related medical research (25 papers) and Gestational Diabetes Research and Management (13 papers). María Goya is often cited by papers focused on Preterm Birth and Chorioamnionitis (30 papers), Pregnancy-related medical research (25 papers) and Gestational Diabetes Research and Management (13 papers). María Goya collaborates with scholars based in Spain, United States and United Kingdom. María Goya's co-authors include E. Carreras, L. Cabero, Elisa Llurba, Teresa Higueras, Carme Merced, Laia Pratcorona, Carlota Rodó, J. Bello‐Muñoz, Begoña Muñoz and Leonor Valle and has published in prestigious journals such as The Lancet, Diabetes and European Heart Journal.

In The Last Decade

María Goya

55 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
María Goya 714 581 561 327 141 69 1.1k
Eliezer Shalev 308 0.4× 385 0.7× 344 0.6× 415 1.3× 136 1.0× 55 1.1k
Amanda Roman 653 0.9× 762 1.3× 645 1.1× 489 1.5× 64 0.5× 70 1.3k
Clark Nugent 366 0.5× 490 0.8× 545 1.0× 672 2.1× 91 0.6× 39 1.4k
Robert Egerman 470 0.7× 418 0.7× 423 0.8× 232 0.7× 45 0.3× 58 1.0k
Serdar Ural 299 0.4× 189 0.3× 448 0.8× 437 1.3× 121 0.9× 73 1.1k
Neil Athayde 614 0.9× 460 0.8× 515 0.9× 252 0.8× 107 0.8× 35 1.2k
Mariarosaria Di Tommaso 256 0.4× 339 0.6× 626 1.1× 576 1.8× 70 0.5× 107 1.2k
Michael C. Gordon 458 0.6× 423 0.7× 398 0.7× 313 1.0× 31 0.2× 34 937
Niki Istwan 458 0.6× 514 0.9× 739 1.3× 577 1.8× 38 0.3× 88 1.2k
Lynn Borgatta 193 0.3× 725 1.2× 471 0.8× 638 2.0× 88 0.6× 76 1.5k

Countries citing papers authored by María Goya

Since Specialization
Citations

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

Fields of papers citing papers by María Goya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Goya

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