Lillian Sie

610 citations
29 papers · 428 · h-index 10

Impact in

Papers in

Lillian Sie

27 papers receiving 420 citations

Peers

Lillian Sie
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 154
  • Pediatrics, Perinatology and Child Health 173
  • Obstetrics and Gynecology 51
  • Pollution 63
  • Endocrine and Autonomic Systems 28
Replace Ashwini Lakshmanan with:
Ashwini Lakshmanan United States
Lakota Kruse United States
Ashley Song United States
Jesús Serrano-Lomelin Canada
Renata Złotkowska Poland
Elena Proietti Switzerland
Jingqin Zhu Canada
Karine Supernant France
Yonghao Gui China
Emanuela Tudorache Romania
Lillian Sie relative to Ashwini Lakshmanan United States Ashwini Lakshmanan's profile →
Citations per field
00.5×2.7×
Ashwini Lakshmanan · 1×
Citations per year

Countries citing papers authored by Lillian Sie

Since Specialization
Citations

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

Fields of papers citing papers by Lillian Sie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 200550
3 201534
4 202133
5 201732
6 199931
7 201925
8 201921
9 202112
10 201310
11 20199
12 20228
13 20208
14 20227
15 20206
16 20196
17 20185
18 20224
19 20184
20 20223

About Lillian Sie

Lillian Sie is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Epidemiology and Emergency Medicine, having authored 29 papers that have together received 428 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (7 papers), Neonatal Respiratory Health Research (6 papers), Maternal and fetal healthcare (5 papers), Birth, Development, and Health (4 papers), Trauma and Emergency Care Studies (3 papers), Emergency and Acute Care Studies (3 papers), Infant Development and Preterm Care (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (154 citations), Pediatrics, Perinatology and Child Health (173 citations), Obstetrics and Gynecology (51 citations), Pollution (63 citations) and Endocrine and Autonomic Systems (28 citations). Lillian Sie has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Rachel Broadwin, Rupa Basu, Henry Lee, Maria H. Harris, Rochelle Green, Brian Malig, Marjo S. van der Knaap, Jacob Valk, Harrie N. Lafeber and Laila de Groot. Their work appears in journals such as Journal of Perinatology, The Journal of Pediatrics, American Journal of Obstetrics and Gynecology, Neuropediatrics and American Journal of Perinatology.

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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