Jaime Cerda

1.8k citations
131 papers · 1.3k indexed · h-index 19

Jaime Cerda

116 papers receiving 1.3k citations

Peers

Jaime Cerda
Comparison fields: 5 of 155
  • Endocrinology, Diabetes and Metabolism 164
  • Public Health, Environmental and Occupational Health 237
  • Epidemiology 273
  • Physiology 202
  • Internal Medicine 27
Replace So Yeon Ryu with:
So Yeon Ryu South Korea
Man‐Huei Chang United States
Hobart W. Harris United States
Paul Clarke United Kingdom
Sir Richard Doll United Kingdom
Michael Huerta Israel
Herney Andrés García‐Perdomo Colombia
Benjamin Longo‐Mbenza Democratic Republic of the Congo
Safia Awan Pakistan
Tamy Shohat Israel
Jaime Cerda relative to So Yeon Ryu South Korea So Yeon Ryu's profile →
Citations per field
00.5×1.5×1.9×
So Yeon Ryu · 1×
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-authorship network

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
#Work
1 20250
2 20240
3 20240
4 20226
5
Infant morbidity and mortality attributable to prenatal smoking in Chile
20179
6 20175
7 20179
8 20123
9 20113
10 20107
11 20105
12 20107
13 20095
14 20081
15 20084
16 200848
17 2008101
18 20071
19 20061
20 20040

About Jaime Cerda

Jaime Cerda is a scholar working on Health, Epidemiology, Public Health, Environmental and Occupational Health, Hepatology and Gastroenterology, having authored 131 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (11 papers), Vaccine Coverage and Hesitancy (9 papers), Streptococcal Infections and Treatments (7 papers), Child and Adolescent Health (7 papers), Congenital Heart Disease Studies (7 papers), Health and Lifestyle Studies (7 papers), Liver Disease and Transplantation (6 papers) and Asthma and respiratory diseases (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Public Health, Environmental and Occupational Health (237 citations), Epidemiology (273 citations), Physiology (202 citations) and Internal Medicine (27 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, Cristián A. Carvajal, René Baudrand, Alexis M. Kalergis, Arturo Borzutzky, Gabriel Rada, Carmen Campino and Gian Cesare Guidi. Their work appears in journals such as Cochrane Database of Systematic Reviews, Pediatric Allergy and Immunology, Revista médica de Chile, Scientific Reports and Vaccine.

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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