Jaime Cerda

120 papers receiving 1.3k citations

Peers

Jaime Cerda
Comparison fields: 5 of 152
  • Endocrinology, Diabetes and Metabolism 117
  • Internal Medicine 23
  • Epidemiology 213
  • Public Health, Environmental and Occupational Health 176
  • Physiology 143
Replace Michael Huerta with:
Michael Huerta Israel
Verônica Colpani Brazil
J E Siegel United States
Herney Andrés García‐Perdomo Colombia
Nicola Magrini Italy
Victoria Nyawira Nyaga Belgium
Vicente A. Benítes-Zapata Peru
Atul Kotwal India
Hamid Reza Khalkhali Iran
Man‐Huei Chang United States
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Citations per year

Countries citing papers authored by Jaime Cerda

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Cerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2008101
3 201264
4 201150
5 200848
6 201246
7 201346
8 202044
9 201436
10 200932
11 201231
12 201131
13 201527
14 201326
15 201225
16 200921
17 201120
18 201620
19 201519
20 201019

About Jaime Cerda

Jaime Cerda is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, General Health Professions and Surgery, having authored 136 papers that have together received 1.4k indexed citations. Recurring topics across this work include Down syndrome and intellectual disability research (7 papers), Vaccine Coverage and Hesitancy (6 papers), Liver Disease and Transplantation (6 papers), Pneumonia and Respiratory Infections (5 papers), Gastroesophageal reflux and treatments (5 papers), Maternal and Neonatal Healthcare (4 papers), Child and Adolescent Health (4 papers) and Vitamin D Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Internal Medicine (23 citations), Epidemiology (213 citations), Public Health, Environmental and Occupational Health (176 citations) and Physiology (143 citations). Jaime Cerda has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Lorena Cifuentes, Claudio Vera, Carlos Fardella, René Baudrand, Cristián A. Carvajal, Arturo Borzutzky, Alexis M. Kalergis, Carmen Campino, Gabriel Rada and Gareth I. Owen. Their work appears in journals such as Cochrane Database of Systematic Reviews, Pediatric Allergy and Immunology, Revista médica de Chile, Pediatric Pulmonology and Digestive Diseases and Sciences.

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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