Fernando Nieto

474 citations
15 papers · 379 indexed · h-index 7
Topics
Birth, Development, and Health (5 papers)Neonatal Respiratory Health Research (4 papers)Pregnancy and preeclampsia studies (2 papers)
Partner nations
BrazilUnited StatesCuba

In The Last Decade

Fernando Nieto

14 papers receiving 362 citations

Peers

Fernando Nieto
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 246
  • Surgery 90
  • Pediatrics, Perinatology and Child Health 60
  • Obstetrics and Gynecology 52
  • Nutrition and Dietetics 48
Replace Derrick A. Pulliam with:
Derrick A. Pulliam United States
D D’Este Italy
Nicola Sacchi Italy
R.G. Wilkes United Kingdom
Hiroshi Satoh Japan
Odaro J. Huckstep United Kingdom
Mengyue Lin China
Carlos Schettini Spain
Stephanie V. Blank United States
Manuel Alva Bianchi Spain
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Citations per field
00.5×1.5×2.4×
Derrick A. Pulliam · 1×
Citations per year

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

15 of 15 papers shown
#WorkIndexed citations
1 4
2
The Balance of Payments and International Investment Position of Spain in 2015
0
3 6
4 283
5 1
6 8
7
[Uterine height as a method of predicting fetal growth].
4
8
Altura uterina como metodo para predecir el crecimiento fetal
6
9 13
10 1
11 10
12 1
13 29
14
[Evaluation of human fetal growth by using anthropometric indicators].
1
15
Crecimiento fetal humano valorado por indicadores antropométricos
12

About Fernando Nieto

Fernando Nieto is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Behavioral Neuroscience, having authored 15 papers that have together received 379 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Neonatal Respiratory Health Research (4 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Obstetrics and Gynecology (52 citations) and Nutrition and Dietetics (48 citations). Fernando Nieto has collaborated with scholars based in Brazil, United States and Cuba. Frequent co-authors include Edgardo Sandoya, Manuel Alva Bianchi, Carlos Schettini, Hugo Senra, Ricardo Schwarcz, José M. Belizán, Richard E. Behrman, Omar Althabe, Luis Miguel Román-Pintos and Héctor Píriz. Their work appears in journals such as Hypertension, The Journal of Pediatrics and Cancer Letters.

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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