Data Santorino

34 papers receiving 572 citations

Peers

Data Santorino
Comparison fields: 5 of 81
  • General Health Professions 118
  • Pediatrics, Perinatology and Child Health 86
  • Radiological and Ultrasound Technology 17
  • Public Health, Environmental and Occupational Health 78
  • Business and International Management 6
Replace Kavya Sharma with:
Kavya Sharma India
Márcia Cristina Zago Novaretti Brazil
Jean O’Connor United States
Kathryn Anderson United States
Abbas Ismail Tanzania
Kristian R. Olson United States
Rebecca Carlson United States
Adeline Goss United States
Jennifer Hayes United States
Amira Mohsen Egypt
Data Santorino relative to Kavya Sharma India Kavya Sharma's profile →
Citations per field
00.5×3.4×
Kavya Sharma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Data Santorino, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Data Santorino Line = papers co-authored together Data Santorino links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201752
3 201449
4 201543
5 201543
6 201738
7 201937
8 202034
9 201528
10 202019
11 202017
12 201617
13 202014
14 201312
15 202011
16 201511
17 202011
18 201610
19 20199
20 20178

About Data Santorino

Data Santorino is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 35 papers that have together received 587 indexed citations. Recurring topics across this work include Global Maternal and Child Health (9 papers), Neonatal Respiratory Health Research (7 papers), Mobile Health and mHealth Applications (4 papers), Simulation-Based Education in Healthcare (3 papers), Malaria Research and Control (3 papers), Mosquito-borne diseases and control (3 papers), Biomedical and Engineering Education (3 papers) and Vitamin K Research Studies (2 papers). The work is most often cited by research in General Health Professions (118 citations), Pediatrics, Perinatology and Child Health (86 citations), Radiological and Ultrasound Technology (17 citations), Public Health, Environmental and Occupational Health (78 citations) and Business and International Management (6 citations). Data Santorino has collaborated with scholars based in Uganda, United States and Canada. Frequent co-authors include David R. Bangsberg, Mark J. Siedner, Jessica E. Haberer, Kristian R. Olson, Jeffrey I. Campbell, Ryan W. Carroll, Nalini Singhal, Norma C. Ware, Elizabeth E. Bailey and Richard J. Holden. Their work appears in journals such as PEDIATRICS, BMC Medical Education, Progress in community health partnerships, PLoS ONE and Simulation in Healthcare The Journal of the Society for Simulation in Healthcare.

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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