Lillian Sie

630 citations
29 papers · 463 · h-index 11

Impact in

Papers in

Lillian Sie

28 papers receiving 452 citations

Peers

Lillian Sie
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 152
  • Pediatrics, Perinatology and Child Health 132
  • Obstetrics and Gynecology 26
  • Pollution 45
  • Pulmonary and Respiratory Medicine 96
Replace Ashwini Lakshmanan with:
Ashwini Lakshmanan United States
Lakota Kruse United States
Yonghao Gui China
Bryan Maguire Canada
Renata Złotkowska Poland
W.D. Wilcox United States
Jingqin Zhu Canada
Maria Chiara Pellegrin Italy
Agnieszka Jankowska Poland
T Antova Hungary
Lillian Sie relative to Ashwini Lakshmanan United States Ashwini Lakshmanan's profile →
Citations per field
00.5×1.5×
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 2013114
2 200552
3 201538
4 202137
5 199936
6 201734
7 201926
8 201923
9 202114
10 201912
11 201310
12 20229
13 20208
14 20227
15 20207
16 20186
17 20196
18 20224
19 20184
20 20214

About Lillian Sie

Lillian Sie is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis, Obstetrics and Gynecology and General Health Professions, having authored 29 papers that have together received 463 indexed citations. Recurring topics across this work include Maternal and fetal healthcare (3 papers), Neonatal Respiratory Health Research (3 papers), Climate Change and Health Impacts (2 papers), Maternal and Perinatal Health Interventions (2 papers), Simulation-Based Education in Healthcare (1 paper), Gestational Diabetes Research and Management (1 paper), Energy and Environment Impacts (1 paper) and Criminal Justice and Corrections Analysis (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (152 citations), Pediatrics, Perinatology and Child Health (132 citations), Obstetrics and Gynecology (26 citations), Pollution (45 citations) and Pulmonary and Respiratory Medicine (96 citations). Lillian Sie has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Rupa Basu, Rachel Broadwin, Henry Lee, Rochelle Green, Brian Malig, Maria H. Harris, Laila de Groot, Jacob Valk, Marjo S. van der Knaap and Harrie N. Lafeber. Their work appears in journals such as Journal of Perinatology, American Journal of Perinatology, American Journal of Obstetrics and Gynecology, The Journal of Pediatrics and PLoS ONE.

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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