Li‐Yin Chien

5.3k total citations
157 papers, 3.9k citations indexed

About

Li‐Yin Chien is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Li‐Yin Chien has authored 157 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pediatrics, Perinatology and Child Health, 40 papers in Public Health, Environmental and Occupational Health and 35 papers in Epidemiology. Recurrent topics in Li‐Yin Chien's work include Maternal Mental Health During Pregnancy and Postpartum (22 papers), Breastfeeding Practices and Influences (20 papers) and Infant Development and Preterm Care (13 papers). Li‐Yin Chien is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (22 papers), Breastfeeding Practices and Influences (20 papers) and Infant Development and Preterm Care (13 papers). Li‐Yin Chien collaborates with scholars based in Taiwan, United States and Canada. Li‐Yin Chien's co-authors include Chen‐Jei Tai, Nicole Huang, Shoo K. Lee, Anne Synnes, Arne Ohlsson, Shu-Ti Chiou, Douglas McMillan, Robin K. Whyte, Chiu‐Mieh Huang and Joanna E. M. Sale and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and PEDIATRICS.

In The Last Decade

Li‐Yin Chien

152 papers receiving 3.7k citations

Peers

Li‐Yin Chien
Comparison fields: 5 of 162
  • Pediatrics, Perinatology and Child Health 1.2k
  • Public Health, Environmental and Occupational Health 906
  • Pulmonary and Respiratory Medicine 856
  • Epidemiology 768
  • General Health Professions 615
Replace M. Karen Campbell with:
M. Karen Campbell Canada
Ana Maria B. Menezes Brazil
Milada Cvancarova Småstuen Norway
Kuan‐Chia Lin Taiwan
Ana Maria Baptista Menezes Brazil
Stefan Kuhle Canada
Hala Tamim Canada
Michael Klein Canada
Jenny Freeman United Kingdom
Kate Jolly United Kingdom
M. Karen Campbell Canada View profile →
Citations per field, relative to Li‐Yin Chien
Li‐Yin Chien · 1×
Citations per year, relative to Li‐Yin Chien
Li‐Yin Chien · 1×

Countries citing papers authored by Li‐Yin Chien

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Yin Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Yin Chien. 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 Li‐Yin Chien. The network helps show where Li‐Yin Chien may publish in the future.

Co-authorship network of co-authors of Li‐Yin Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Yin Chien. A scholar is included among the top collaborators of Li‐Yin Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Yin Chien. Li‐Yin Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 12
5 5
6 6
7 4
8 19
9 49
10 12
11 56
12 5
13 17
14 34
15 1
16 14
17 10
18 44
19 6
20 1

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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