Pearl W. Chang

451 total citations
22 papers, 251 citations indexed

About

Pearl W. Chang is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pearl W. Chang has authored 22 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pediatrics, Perinatology and Child Health, 12 papers in Epidemiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pearl W. Chang's work include Pediatric Urology and Nephrology Studies (9 papers), Neonatal Health and Biochemistry (8 papers) and Urinary Tract Infections Management (7 papers). Pearl W. Chang is often cited by papers focused on Pediatric Urology and Nephrology Studies (9 papers), Neonatal Health and Biochemistry (8 papers) and Urinary Tract Infections Management (7 papers). Pearl W. Chang collaborates with scholars based in United States and Taiwan. Pearl W. Chang's co-authors include Alan R. Schroeder, Thomas B. Newman, Mark W. Shen, Eric Biondi, Tara L. Greenhow, Michael W. Kuzniewicz, Charles E. McCulloch, Michael Bendel‐Stenzel, M. Jeffrey Maisels and Marie E. Wang and has published in prestigious journals such as PEDIATRICS, The Journal of Pediatrics and Archives of Disease in Childhood.

In The Last Decade

Pearl W. Chang

19 papers receiving 247 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pearl W. Chang United States 9 216 139 72 65 25 22 251
Richard A. Pircon United States 12 188 0.9× 72 0.5× 94 1.3× 9 0.1× 9 0.4× 17 326
Naushira Pandya United States 6 127 0.6× 80 0.6× 63 0.9× 47 0.7× 2 0.1× 11 225
Hamed Akhavizadegan Iran 9 65 0.3× 61 0.4× 70 1.0× 54 0.8× 32 221
Hyun‐Hwa Cha South Korea 10 127 0.6× 87 0.6× 67 0.9× 6 0.1× 3 0.1× 42 263
Nathalie Jeanne Bravo‐Valenzuela Brazil 12 92 0.4× 268 1.9× 100 1.4× 5 0.1× 4 0.2× 63 413
Jason Burrows Canada 7 116 0.5× 60 0.4× 96 1.3× 28 0.4× 2 0.1× 18 259
Liza Kunz United States 6 104 0.5× 25 0.2× 13 0.2× 27 0.4× 4 0.2× 15 296
Fahad Alyami Saudi Arabia 10 98 0.5× 21 0.2× 104 1.4× 58 0.9× 1 0.0× 39 254
Mahendra Parikh India 8 74 0.3× 48 0.3× 28 0.4× 5 0.1× 4 0.2× 13 234
Mervi Haapsamo Finland 11 166 0.8× 68 0.5× 46 0.6× 2 0.0× 3 0.1× 32 347

Countries citing papers authored by Pearl W. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pearl W. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pearl W. Chang. 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 Pearl W. Chang. The network helps show where Pearl W. Chang may publish in the future.

Co-authorship network of co-authors of Pearl W. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Pearl W. Chang. A scholar is included among the top collaborators of Pearl W. Chang 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 Pearl W. Chang. Pearl W. Chang 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
1.
Nayak, Kailash Chandra, et al.. (2025). Discordance Between Observed vs Expected Prevalence of UTI in Newborns With Hyperbilirubinemia. Hospital Pediatrics. 15(9). e456–e459.
2.
Chang, Pearl W., Chuan Zhou, & Mersine A. Bryan. (2024). Reducing IV Antibiotic Duration for Neonatal UTI Using a Clinical Standard Pathway. Hospital Pediatrics. 14(6). 403–412. 1 indexed citations
3.
Chang, Pearl W., Neera K. Goyal, & Esther K. Chung. (2024). Marijuana Use and Breastfeeding: A Survey of Newborn Nurseries. PEDIATRICS. 153(2). 5 indexed citations
4.
Goyal, Neera K., Pearl W. Chang, & Esther K. Chung. (2024). Knowledge and Attitudes About Perinatal Marijuana Use Among US Postpartum Mothers: A Better Outcomes Through Research for Newborns Network Study. Academic Pediatrics. 25(3). 102616–102616. 1 indexed citations
5.
Chang, Pearl W. & Thomas B. Newman. (2024). Receiver Operating Characteristic (ROC) Curves: The Basics and Beyond. Hospital Pediatrics. 14(7). e330–e334. 4 indexed citations
6.
Gupta, Vedant, et al.. (2023). Perspectives of Health Care Personnel on the Benefits of Bronchiolitis Interventions. PEDIATRICS. 151(6). 1 indexed citations
7.
Winer, Jeffrey C., Troy Richardson, Jay G. Berry, et al.. (2023). Effect Modifiers of the Association of High-Flow Nasal Cannula and Bronchiolitis Length of Stay. Hospital Pediatrics. 13(11). 1018–1027. 2 indexed citations
8.
Chang, Pearl W., et al.. (2022). Water Management Strategies on Campus: An integrated approach. 2(1). 1 indexed citations
9.
Chang, Pearl W., Alan R. Schroeder, Brian Lucas, & Corrie E. McDaniel. (2022). Impact of Diagnostic Criteria on UTI Prevalence in Young Infants With Jaundice: A Meta-analysis. Hospital Pediatrics. 12(4). 425–440. 2 indexed citations
10.
Digitale, Jean, Pearl W. Chang, Sherian X. Li, Michael W. Kuzniewicz, & Thomas B. Newman. (2022). The Effect of Readmission for Phototherapy on Early Breast Milk Feeding. Hospital Pediatrics. 12(5). e146–e153.
11.
Digitale, Jean, Pearl W. Chang, Sherian X. Li, Michael W. Kuzniewicz, & Thomas B. Newman. (2021). The effect of hospital phototherapy on early breastmilk feeding. Paediatric and Perinatal Epidemiology. 35(6). 717–725. 4 indexed citations
12.
Chang, Pearl W., et al.. (2020). Evaluation of Home Phototherapy for Neonatal Hyperbilirubinemia. The Journal of Pediatrics. 220. 80–85. 20 indexed citations
13.
Chang, Pearl W. & Thomas B. Newman. (2019). A Simpler Prediction Rule for Rebound Hyperbilirubinemia. PEDIATRICS. 144(1). 14 indexed citations
14.
Chang, Pearl W., Michael W. Kuzniewicz, Charles E. McCulloch, & Thomas B. Newman. (2017). A Clinical Prediction Rule for Rebound Hyperbilirubinemia Following Inpatient Phototherapy. PEDIATRICS. 139(3). 32 indexed citations
15.
Chang, Pearl W., Thomas B. Newman, & M. Jeffrey Maisels. (2017). Update on Predicting Severe Hyperbilirubinemia and Bilirubin Neurotoxicity Risks in Neonates. Current Pediatric Reviews. 13(3). 181–187. 10 indexed citations
16.
Chang, Pearl W., Mark W. Shen, Tara L. Greenhow, et al.. (2016). Urinary Imaging Findings in Young Infants With Bacteremic Urinary Tract Infection. Hospital Pediatrics. 6(11). 647–652. 10 indexed citations
17.
Schroeder, Alan R., Mark W. Shen, Eric Biondi, et al.. (2015). Bacteraemic urinary tract infection: management and outcomes in young infants. Archives of Disease in Childhood. 101(2). 125–130. 30 indexed citations
18.
Schroeder, Alan R., Pearl W. Chang, Mark W. Shen, Eric Biondi, & Tara L. Greenhow. (2015). Diagnostic Accuracy of the Urinalysis for Urinary Tract Infection in Infants <3 Months of Age. PEDIATRICS. 135(6). 965–971. 68 indexed citations
19.
Chang, Pearl W., et al.. (2015). Diagnosis and Management of Bacteremic Urinary Tract Infection in Infants. Hospital Pediatrics. 5(1). 1–8. 36 indexed citations
20.
Fang, Wen‐Feng, Ching-Jiunn Tseng, Kai Huang, et al.. (2009). Risk Factors for Mortality in Patients with Nosocomial Stenotrophomonas maltophilia Pneumonia.. A1728–A1728. 1 indexed citations

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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