Data Santorino

50 total papers · 819 total citations
35 papers, 562 citations indexed

About

Data Santorino is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Data Santorino has authored 35 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pediatrics, Perinatology and Child Health, 13 papers in General Health Professions and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Data Santorino's work include Global Maternal and Child Health (13 papers), Neonatal Respiratory Health Research (9 papers) and Infant Development and Preterm Care (7 papers). Data Santorino is often cited by papers focused on Global Maternal and Child Health (13 papers), Neonatal Respiratory Health Research (9 papers) and Infant Development and Preterm Care (7 papers). Data Santorino collaborates with scholars based in Uganda, United States and Canada. Data Santorino's co-authors include David R. Bangsberg, Mark J. Siedner, Jessica E. Haberer, Kristian R. Olson, Jeffrey I. Campbell, Ryan W. Carroll, Nalini Singhal, Bridget Burns, Norma C. Ware and Richard J. Holden and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PEDIATRICS.

In The Last Decade

Data Santorino

34 papers receiving 546 citations

Author Peers

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

Author						Papers	Cites
Data Santorino	203	155	115	98	74	35	562
Jodi Abbott	103 0.5×	247 1.6×	183 1.6×	16 0.2×	27 0.4×	34	676
Fabian Eibensteiner	87 0.4×	32 0.2×	72 0.6×	75 0.8×	46 0.6×	39	651
Michael S. Sinha	86 0.4×	49 0.3×	83 0.7×	26 0.3×	65 0.9×	45	688
Jamie Conklin	126 0.6×	25 0.2×	77 0.7×	29 0.3×	79 1.1×	66	678
Sami Shaban	134 0.7×	31 0.2×	322 2.8×	33 0.3×	33 0.4×	58	684
Yeşim Uncu	174 0.9×	59 0.4×	153 1.3×	26 0.3×	21 0.3×	28	597
Apurv Soni	70 0.3×	61 0.4×	37 0.3×	83 0.8×	26 0.4×	50	544
Elizabeth C. Whipple	113 0.6×	18 0.1×	202 1.8×	52 0.5×	33 0.4×	38	582
Abbas Ismail	85 0.4×	40 0.3×	82 0.7×	41 0.4×	11 0.1×	24	520
Joseph Mfutso‐Bengo	254 1.3×	165 1.1×	222 1.9×	11 0.1×	31 0.4×	53	608

Countries citing papers authored by Data Santorino

Since Specialization

Citations

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

Fields of papers citing papers by Data Santorino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Data Santorino

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