Chih‐Lu Wang

2.1k citations
43 papers · 1.7k · h-index 23

Impact in

Papers in

Chih‐Lu Wang

43 papers receiving 1.6k citations

Peers

Chih‐Lu Wang
Comparison fields: 5 of 90
  • Pulmonary and Respiratory Medicine 666
  • Immunology and Allergy 116
  • Behavioral Neuroscience 66
  • Hematology 201
  • Surgery 755
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L Havelec Austria
Koichiro Shimoya Japan
Mark Phillippe United States
Riccardo Marana Italy
Roel J. Bennink Netherlands
Elliot D. Rosenstein United States
A. R. Leff United States
Dagfinn Aarskog Norway
Akinori Hoshika Japan
Carol M. Cottrill United States
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Citations per field
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Citations per year

Countries citing papers authored by Chih‐Lu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Lu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2003126
3 2010103
4 2007101
5 200698
6 200995
7 200279
8 200179
9 200278
10 200363
11 200359
12 200955
13 201455
14 200454
15 201246
16 200945
17 200241
18 201934
19
Prediction of elevated cord blood IgE levels by maternal IgE levels, and the neonate's gender and gestational age.
200330
20 200425

About Chih‐Lu Wang

Chih‐Lu Wang is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Physiology, Epidemiology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (13 papers), Coronary Artery Anomalies (10 papers), Asthma and respiratory diseases (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Vasculitis and related conditions (5 papers), Allergic Rhinitis and Sensitization (4 papers), Neonatal and fetal brain pathology (3 papers) and Anesthesia and Neurotoxicity Research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (666 citations), Immunology and Allergy (116 citations), Behavioral Neuroscience (66 citations), Hematology (201 citations) and Surgery (755 citations). Chih‐Lu Wang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kuender D. Yang, Ho‐Chang Kuo, Chieh-An Liu, Hong‐Ren Yu, Li‐Tung Huang, Chi‐Di Liang, Te‐Yao Hsu, Hau Chuang, Chia‐Yu Ou and Kao‐Pin Hwang. Their work appears in journals such as Pediatric Allergy and Immunology, Epilepsia, Oncotarget, Botanical studies 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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