Enti Spata

3.6k total citations · 1 hit paper
7 papers, 632 citations indexed

About

Enti Spata is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Enti Spata has authored 7 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in General Health Professions, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Enti Spata's work include Infant Development and Preterm Care (2 papers), Neonatal Respiratory Health Research (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Enti Spata is often cited by papers focused on Infant Development and Preterm Care (2 papers), Neonatal Respiratory Health Research (2 papers) and Statistical Methods and Bayesian Inference (1 paper). Enti Spata collaborates with scholars based in United Kingdom, Italy and Canada. Enti Spata's co-authors include Jonathan Emberson, Colin Baigent, Raph Goldacre, Mark de Belder, T F Luescher, Marion Mafham, Mamas A. Mamas, Chris P Gale, Tom Denwood and Rory Collins and has published in prestigious journals such as The Lancet, PEDIATRICS and Archives of Disease in Childhood Fetal & Neonatal.

In The Last Decade

Enti Spata

6 papers receiving 619 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England

2020 430 citations Marion Mafham, Enti Spata et al. The Lancet profile →

Peers

Enti Spata

ONCOL

GHP

CCM

ID

SURGE

Mette Reilev Denmark

Stephen W. Marcella United States

Antonia Anna Lukito Indonesia

Jürgen Klauber Germany

Primiano Iannone Italy

Joyce L. McKenney United States

Diane Levine United States

Sarah J. Crane United States

Molly Fisher United States

Samson Okello Uganda

Mette Reilev Denmark

Enti Spata

103 ×0.3

ONCOL

80 ×0.6

GHP

61 ×0.4

CCM

226 ×1.8

ID

45 ×0.4

SURGE

Citations per year, relative to Enti Spata Enti Spata (= 1×) peers Mette Reilev

Countries citing papers authored by Enti Spata

Since Specialization

Citations

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

Fields of papers citing papers by Enti Spata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enti Spata

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Casadei, Barbara, Marion Mafham, Enti Spata, et al.. (2020). Impact of the COVID-19 pandemic on admission rates for, and management of, acute coronary syndromes in England.. The Lancet. 2 indexed citations

2.

Mafham, Marion, Enti Spata, Raph Goldacre, et al.. (2020). COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England. The Lancet. 396(10248). 381–389. 430 indexed citations breakdown →

3.

Emberson, Jonathan, Enti Spata, Christina Reith, et al.. (2018). Effects of gastroprotectant drugs for the prevention and treatment of peptic ulcer disease and its complications: a meta-analysis of randomised trials. The Lancet. Gastroenterology & hepatology. 3(4). 231–241. 161 indexed citations

4.

Bujkiewicz, Sylwia, John R. Thompson, Enti Spata, & Keith R. Abrams. (2015). Uncertainty in the Bayesian meta-analysis of normally distributed surrogate endpoints. Statistical Methods in Medical Research. 26(5). 2287–2318. 12 indexed citations

5.

Field, David, Enti Spata, Bradley N Manktelow, et al.. (2015). Evaluation of the use of a parent questionnaire to provide later health status data: the PANDA study. Archives of Disease in Childhood Fetal & Neonatal. 101(4). F304–F308. 4 indexed citations

6.

Guy, Alexa, Elaine M. Boyle, Enti Spata, et al.. (2014). A Parent Questionnaire for Developmental Screening in Infants Born Late and Moderately Preterm. PEDIATRICS. 134(1). e55–e62. 23 indexed citations

7.

Spata, Enti, et al.. (1996). [Ovarian tumors in children].. PubMed. 18(2). 151–4.

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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