Federico Mariona

73 total papers · 755 total citations
32 papers, 431 citations indexed

About

Federico Mariona is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Endocrine and Autonomic Systems. According to data from OpenAlex, Federico Mariona has authored 32 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pediatrics, Perinatology and Child Health, 12 papers in Obstetrics and Gynecology and 6 papers in Endocrine and Autonomic Systems. Recurrent topics in Federico Mariona's work include Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (7 papers) and Neonatal and fetal brain pathology (5 papers). Federico Mariona is often cited by papers focused on Birth, Development, and Health (7 papers), Pregnancy and preeclampsia studies (7 papers) and Neonatal and fetal brain pathology (5 papers). Federico Mariona collaborates with scholars based in United States and Spain. Federico Mariona's co-authors include Robert J. Sokol, Sidney F. Bottoms, Eberhard Mammen, Robert Welch, Seetha Shankaran, Mary P. Bedard, Ronald L. Poland, L. Cabero, Enrique M. Ostrea and Frank N. Syner and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and American Journal of Obstetrics and Gynecology.

In The Last Decade

Federico Mariona

31 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Federico Mariona 193 169 109 88 63 32 431
Dan J. Sherman 209 1.1× 184 1.1× 117 1.1× 90 1.0× 85 1.3× 19 423
B. Chayen 231 1.2× 131 0.8× 48 0.4× 108 1.2× 60 1.0× 30 417
Richard P. Perkins 160 0.8× 81 0.5× 152 1.4× 84 1.0× 70 1.1× 26 416
G.B. Maughan 138 0.7× 96 0.6× 110 1.0× 104 1.2× 91 1.4× 31 457
O'Brien Wf 235 1.2× 166 1.0× 134 1.2× 99 1.1× 74 1.2× 24 461
Sadettin Güngör 121 0.6× 132 0.8× 100 0.9× 79 0.9× 57 0.9× 27 426
Irit Schushan‐Eisen 173 0.9× 84 0.5× 120 1.1× 100 1.1× 41 0.7× 33 435
J Bieniarz 163 0.8× 151 0.9× 100 0.9× 125 1.4× 68 1.1× 24 420
Martin L. Gimovsky 245 1.3× 126 0.7× 145 1.3× 83 0.9× 50 0.8× 32 449
Naoki Masaoka 202 1.0× 94 0.6× 181 1.7× 114 1.3× 45 0.7× 35 419

Countries citing papers authored by Federico Mariona

Since Specialization
Citations

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

Fields of papers citing papers by Federico Mariona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Mariona

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