Fernando Nieto

18 total papers · 472 total citations
15 papers, 379 citations indexed

About

Fernando Nieto is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Fernando Nieto has authored 15 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Fernando Nieto's work include Birth, Development, and Health (5 papers), Neonatal Respiratory Health Research (4 papers) and Pregnancy and preeclampsia studies (2 papers). Fernando Nieto is often cited by papers focused on Birth, Development, and Health (5 papers), Neonatal Respiratory Health Research (4 papers) and Pregnancy and preeclampsia studies (2 papers). Fernando Nieto collaborates with scholars based in Brazil, United States and Cuba. Fernando Nieto's co-authors include Manuel Alva Bianchi, Carlos Schettini, Edgardo Sandoya, Hugo Senra, Ricardo Schwarcz, Richard E. Behrman, José M. Belizán, Omar Althabe, Franco Símini and Luis Miguel Román-Pintos and has published in prestigious journals such as Hypertension, The Journal of Pediatrics and Cancer Letters.

In The Last Decade

Fernando Nieto

14 papers receiving 362 citations

Author Peers

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

Author						Papers	Cites
Fernando Nieto	247	90	60	51	48	15	379
Yan Lü	101 0.4×	64 0.7×	75 1.3×	74 1.5×	25 0.5×	16	435
J. Mekler	187 0.8×	61 0.7×	46 0.8×	50 1.0×	31 0.6×	19	332
Tomi Laitinen	200 0.8×	42 0.5×	52 0.9×	66 1.3×	26 0.5×	20	428
Derrick A. Pulliam	239 1.0×	37 0.4×	51 0.8×	26 0.5×	52 1.1×	9	339
José Luis Bernal Salgado	275 1.1×	66 0.7×	32 0.5×	24 0.5×	74 1.5×	15	424
Nienke J. Wijnstok	85 0.3×	45 0.5×	71 1.2×	52 1.0×	29 0.6×	15	377
Norman F. Paradise	108 0.4×	96 1.1×	23 0.4×	11 0.2×	29 0.6×	19	383
Tiziana Grosso	245 1.0×	62 0.7×	38 0.6×	36 0.7×	8 0.2×	11	354
Michèle Beevers	266 1.1×	106 1.2×	92 1.5×	107 2.1×	17 0.4×	13	431
R.G. Wilkes	108 0.4×	247 2.7×	44 0.7×	19 0.4×	18 0.4×	17	365

Countries citing papers authored by Fernando Nieto

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Nieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Nieto

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