Leonardo Barrera

17 papers receiving 432 citations

Peers

Leonardo Barrera
Comparison fields: 5 of 68
  • Health 126
  • Family Practice 17
  • Genetics 57
  • Obstetrics and Gynecology 28
  • Applied Psychology 18
Replace Lucia Rojas Smith with:
Lucia Rojas Smith United States
Jennifer Cunningham‐Erves United States
Christian Douglas United States
Danielle T. Barradas United States
Angela Woods United Kingdom
Ellyn Micco United States
Allan S. Noonan United States
Ismail Yahaya United Kingdom
Anuja Bhalerao India
Projestine Muganyizi Tanzania
Leonardo Barrera relative to Lucia Rojas Smith United States Lucia Rojas Smith's profile →
Citations per field
00.5×4.3×
Lucia Rojas Smith · 1×
Citations per year

Countries citing papers authored by Leonardo Barrera

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Barrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonardo Barrera, 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 Leonardo Barrera Line = papers co-authored together Leonardo Barrera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2017162
2 2021131
3 201835
4 202133
5 202121
6 202020
7 202210
8 20236
9 20225
10 20235
11 20234
12 20223
13 20231
14 20231
15 20241
16 20241
17 20211
18 20260
19 20240
20 20250

About Leonardo Barrera

Leonardo Barrera is a scholar working on Genetics, Health, General Health Professions, Pediatrics, Perinatology and Child Health and Clinical Psychology, having authored 20 papers that have together received 440 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (3 papers), Telemedicine and Telehealth Implementation (2 papers), Gun Ownership and Violence Research (2 papers), Vaccine Coverage and Hesitancy (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), COVID-19 and healthcare impacts (1 paper), Mobile Health and mHealth Applications (1 paper) and Suicide and Self-Harm Studies (1 paper). The work is most often cited by research in Health (126 citations), Family Practice (17 citations), Genetics (57 citations), Obstetrics and Gynecology (28 citations) and Applied Psychology (18 citations). Leonardo Barrera has collaborated with scholars based in United States and Egypt. Frequent co-authors include Sherif M. Badawy, Linda O’Dwyer, Saara Kaviany, Lisa M. Kuhns, Michelle L. Macy, Matthew M. Davis, Nia Heard‐Garris, Alexis A. Thompson, Dana Aronson Schinasi and Carolyn C. Foster. Their work appears in journals such as Pediatric Blood & Cancer, Journal of Medical Internet Research, The Journal of Pediatrics, BioMed Research International and Annals of Medicine.

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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