Máximo Vento

19.7k total citations · 4 hit papers
380 papers, 12.8k citations indexed

About

Máximo Vento is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems. According to data from OpenAlex, Máximo Vento has authored 380 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 204 papers in Pulmonary and Respiratory Medicine, 143 papers in Pediatrics, Perinatology and Child Health and 95 papers in Endocrine and Autonomic Systems. Recurrent topics in Máximo Vento's work include Neonatal Respiratory Health Research (193 papers), Neuroscience of respiration and sleep (95 papers) and Neonatal and fetal brain pathology (66 papers). Máximo Vento is often cited by papers focused on Neonatal Respiratory Health Research (193 papers), Neuroscience of respiration and sleep (95 papers) and Neonatal and fetal brain pathology (66 papers). Máximo Vento collaborates with scholars based in Spain, United States and Australia. Máximo Vento's co-authors include Ola Didrik Saugstad, Juan Sastre, Miguel Asensi, José Viña, María Cernada, Consuelo Cháfer‐Pericás, Julia Kuligowski, F García-Sala, Javier Escobar and Gorm Greisen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Máximo Vento

362 papers receiving 12.5k citations

Hit Papers

European Consensus Guidel... 2013 2026 2017 2021 2019 2016 2013 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Máximo Vento 7.6k 4.1k 3.1k 2.2k 1.6k 380 12.8k
Ola Didrik Saugstad 8.9k 1.2× 6.3k 1.6× 4.5k 1.5× 2.7k 1.2× 1.8k 1.1× 497 17.1k
Henry L. Halliday 10.2k 1.3× 6.9k 1.7× 3.5k 1.1× 4.1k 1.8× 780 0.5× 272 14.5k
Dick Tibboel 10.7k 1.4× 9.2k 2.3× 819 0.3× 12.8k 5.7× 2.2k 1.4× 872 28.9k
Nathan W. Levin 2.6k 0.3× 1.6k 0.4× 1.5k 0.5× 5.3k 2.4× 1.8k 1.1× 533 25.1k
Anthony Milner 5.5k 0.7× 974 0.2× 1.7k 0.6× 1.6k 0.7× 614 0.4× 275 9.4k
Edmund Juszczak 2.3k 0.3× 3.6k 0.9× 698 0.2× 696 0.3× 417 0.3× 128 8.5k
Donald P. Tashkin 15.0k 2.0× 884 0.2× 988 0.3× 1.4k 0.6× 1.7k 1.0× 525 24.5k
Karel Allegaert 3.2k 0.4× 5.9k 1.5× 285 0.1× 2.6k 1.1× 727 0.5× 619 12.7k
Jacob V. Aranda 2.3k 0.3× 2.7k 0.7× 983 0.3× 662 0.3× 545 0.3× 221 6.1k
Eugenio Baraldi 6.7k 0.9× 986 0.2× 872 0.3× 2.1k 0.9× 738 0.5× 295 10.2k

Countries citing papers authored by Máximo Vento

Since Specialization
Citations

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

Fields of papers citing papers by Máximo Vento

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Máximo Vento

This figure shows the co-authorship network connecting the top 25 collaborators of Máximo Vento. A scholar is included among the top collaborators of Máximo Vento 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 Máximo Vento. Máximo Vento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Perea, Manuel, et al.. (2024). Emotional Face Processing in Autism Spectrum Condition: A Study of Attentional Orienting and Inhibitory Control. Journal of Autism and Developmental Disorders. 55(2). 440–448. 1 indexed citations
4.
Cernada, María, et al.. (2023). Effect of autologous umbilical cord blood transfusion in the development of retinopathy of prematurity: randomized clinical trial – study protocol. Frontiers in Pediatrics. 11. 1269797–1269797. 5 indexed citations
5.
Sierra, Pilar, et al.. (2023). Predictors of postpartum depression in threatened preterm labour: Importance of psychosocial factors. PubMed. 17(1). 51–54. 2 indexed citations
6.
Roine, Irmeli, Julia Kuligowski, Ángel Sánchez‐Illana, et al.. (2023). High Concentration of Protein Oxidation Biomarker O-Tyr/Phe Predicts Better Outcome in Childhood Bacterial Meningitis. Antioxidants. 12(3). 621–621. 1 indexed citations
7.
Sánchez‐Illana, Ángel, et al.. (2022). Impact of Kangaroo Care on Premature Infants’ Oxygenation: Systematic Review. Neonatology. 119(5). 537–546. 13 indexed citations
8.
Ferrín, Maite, et al.. (2022). Temperamental and psychomotor predictors of ADHD symptoms in children born after a threatened preterm labour: a 6-year follow-up study. European Child & Adolescent Psychiatry. 32(11). 2291–2301. 2 indexed citations
9.
Parra‐Llorca, Anna, et al.. (2021). Preventive bundle approach decreases the incidence of ventilator-associated pneumonia in newborn infants. Journal of Perinatology. 41(6). 1467–1473. 14 indexed citations
10.
Hervás, David, et al.. (2021). Impact of maternal age on infants' emotional regulation and psychomotor development. Psychological Medicine. 52(15). 3708–3719. 8 indexed citations
11.
Jenkins, Dorothea, Truman R. Brown, Milad Yazdani, et al.. (2021). NAC and Vitamin D Improve CNS and Plasma Oxidative Stress in Neonatal HIE and Are Associated with Favorable Long-Term Outcomes. Antioxidants. 10(9). 1344–1344. 13 indexed citations
12.
Lehtonen, Liisa, Shoo K. Lee, Satoshi Kusuda, et al.. (2020). Family Rooms in Neonatal Intensive Care Units and Neonatal Outcomes: An International Survey and Linked Cohort Study. The Journal of Pediatrics. 226. 112–117.e4. 19 indexed citations
13.
Lehtonen, Liisa, Shoo K. Lee, Stellan Håkansson, et al.. (2019). Unit-Level Variations in Healthcare Professionals’ Availability for Preterm Neonates <29 Weeks’ Gestation: An International Survey. Neonatology. 116(4). 347–355. 8 indexed citations
14.
Ferrín, Maite, et al.. (2019). Jumping to conclusions in autism: integration of contextual information and confidence in decision-making processes. European Child & Adolescent Psychiatry. 29(7). 959–968. 10 indexed citations
15.
Roine, Irmeli, Julia Kuligowski, Ángel Sánchez‐Illana, et al.. (2019). Protein Oxidation Biomarkers and Myeloperoxidase Activation in Cerebrospinal Fluid in Childhood Bacterial Meningitis. Antioxidants. 8(10). 441–441. 8 indexed citations
16.
Oei, Ju Lee, Máximo Vento, Yacov Rabi, et al.. (2016). Higher or lower oxygen for delivery room resuscitation of preterm infants below 28 completed weeks gestation: a meta-analysis. Archives of Disease in Childhood Fetal & Neonatal. 102(1). F24–F30. 60 indexed citations
17.
Saugstad, Ola Didrik, Dagfinn Aune, Marta Aguar, et al.. (2014). Systematic review and meta‐analysis of optimal initial fraction of oxygen levels in the delivery room at ≤32 weeks. Acta Paediatrica. 103(7). 744–751. 47 indexed citations
18.
Dawson, Jennifer A., C. Omar F. Kamlin, Máximo Vento, et al.. (2010). Defining the Reference Range for Oxygen Saturation for Infants After Birth. PEDIATRICS. 125(6). e1340–e1347. 372 indexed citations
19.
Vento, Máximo, Manuel Moro, Raquel Escrig, et al.. (2009). Preterm Resuscitation With Low Oxygen Causes Less Oxidative Stress, Inflammation, and Chronic Lung Disease. PEDIATRICS. 124(3). e439–e449. 352 indexed citations
20.
Vento, Máximo, Juan Sastre, Miguel Asensi, & José Viña. (2005). Room-Air Resuscitation Causes Less Damage to Heart and Kidney than 100% Oxygen. American Journal of Respiratory and Critical Care Medicine. 172(11). 1393–1398. 196 indexed citations

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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