Jin A Lee

76 papers receiving 1.0k citations

Peers

Jin A Lee
Comparison fields: 5 of 98
  • Epidemiology 396
  • Pediatrics, Perinatology and Child Health 181
  • Infectious Diseases 173
  • Pulmonary and Respiratory Medicine 256
  • Developmental Neuroscience 32
Replace Jesús Díez‐Sebastián with:
Jesús Díez‐Sebastián Spain
Eliezer Nussbaum United States
Anthony Figaji South Africa
Arun Kumar Gupta India
Murali Mahadevan New Zealand
Jane Gralla United States
Francis Bednarek United States
Beyong Il Kim South Korea
Murat Duman Türkiye
Christian Dohna‐Schwake Germany
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Citations per field
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Jesús Díez‐Sebastián · 1×
Citations per year

Countries citing papers authored by Jin A Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jin A Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin A Lee. 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 Jin A Lee. The network helps show where Jin A Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006319
2 2009103
3 200969
4 201263
5 201053
6 201944
7 201524
8 201523
9 201522
10 201020
11 200219
12 201917
13 201315
14 201615
15 201914
16 202014
17 201214
18 201612
19 201911
20 201211

About Jin A Lee

Jin A Lee is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Pediatrics, Perinatology and Child Health, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (27 papers), Infant Development and Preterm Care (10 papers), Infant Nutrition and Health (8 papers), Neonatal and fetal brain pathology (8 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Neuroscience of respiration and sleep (7 papers), Neonatal and Maternal Infections (6 papers) and Cardiovascular Conditions and Treatments (6 papers). The work is most often cited by research in Epidemiology (396 citations), Pediatrics, Perinatology and Child Health (181 citations), Infectious Diseases (173 citations), Pulmonary and Respiratory Medicine (256 citations) and Developmental Neuroscience (32 citations). Jin A Lee has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Han‐Suk Kim, Chang Won Choi, Ee‐Kyung Kim, Jung-Hwan Choi, Hoan Jong Lee, Eun Hwa Choi, Nam Hee Kim, Ji Yong Park, So Hee Kim and Ji Yeon Sung. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Korean Medical Science, Scientific Reports, Neonatology and Pediatric Research.

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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