Lan‐Wan Wang

841 citations
35 papers · 638 · h-index 12

Impact in

Papers in

Lan‐Wan Wang

34 papers receiving 621 citations

Peers

Lan‐Wan Wang
Comparison fields: 5 of 81
  • Pediatrics, Perinatology and Child Health 263
  • Neurology 103
  • Developmental Neuroscience 33
  • Biological Psychiatry 19
  • Endocrine and Autonomic Systems 26
Replace Frank Plaisant with:
Frank Plaisant France
Raffaella Moretti France
Hanna E. Reinebrant Australia
Soo Hyun Kwon South Korea
İlker Mustafa Kafa Türkiye
Ali Mian United States
Deanne L. Heath Australia
S Cordaro Italy
Bogdan Pavel Romania
Thorsten Alfons Gerstner Germany
Lan‐Wan Wang relative to Frank Plaisant France Frank Plaisant's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lan‐Wan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lan‐Wan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan‐Wan Wang. 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 Lan‐Wan Wang. The network helps show where Lan‐Wan Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201057
3 201455
4 201154
5 200852
6 201334
7 201932
8 201432
9 202028
10 201528
11 201625
12 201816
13 201112
14 201611
15 20239
16 20159
17 20219
18 20248
19 20218
20
Systemic fungal infection in very low-birth-weight infants.
19967

About Lan‐Wan Wang

Lan‐Wan Wang is a scholar working on Pediatrics, Perinatology and Child Health, Neurology, Speech and Hearing, Epidemiology and Public Health, Environmental and Occupational Health, having authored 35 papers that have together received 638 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (10 papers), Infant Development and Preterm Care (7 papers), Neonatal Respiratory Health Research (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Neonatal and Maternal Infections (2 papers), Family and Disability Support Research (2 papers), Autism Spectrum Disorder Research (2 papers) and Infant Nutrition and Health (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (263 citations), Neurology (103 citations), Developmental Neuroscience (33 citations), Biological Psychiatry (19 citations) and Endocrine and Autonomic Systems (26 citations). Lan‐Wan Wang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chao Huang, Yi‐Fang Tu, Chien-Jung Ho, Shan‐Tair Wang, Ying-Chao Chang, Yung‐Chieh Lin, Jau‐Shyong Hong, Chang-Yi Lin, Li‐Wen Chen and Hsin‐Chieh Wu. Their work appears in journals such as Neonatology, Scientific Reports, Pediatric Research, Journal of Neuroinflammation and Molecular Autism.

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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