Lawrence Ku

900 citations
28 papers · 595 · h-index 12

Impact in

Papers in

Lawrence Ku

26 papers receiving 581 citations

Peers

Lawrence Ku
Comparison fields: 5 of 92
  • Microbiology 93
  • Pediatrics, Perinatology and Child Health 198
  • Pharmacology 78
  • Public Health, Environmental and Occupational Health 130
  • Endocrine and Autonomic Systems 29
Replace Mehrengise Cooper with:
Mehrengise Cooper United Kingdom
Gillian Pearce United Kingdom
Ayşegül Neşe Çıtak Kurt Türkiye
Antonio Vargas Spain
Joël Schlatter France
Stefan Hofer Germany
Roberto Imberti Italy
Roberto Grimaldi Italy
Yahong Peng United States
Jennifer Norman United States
Lawrence Ku relative to Mehrengise Cooper United Kingdom Mehrengise Cooper's profile →
Citations per field
00.5×3.1×
Mehrengise Cooper · 1×
Citations per year

Countries citing papers authored by Lawrence Ku

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence Ku. 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 Lawrence Ku. The network helps show where Lawrence Ku may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 2012137
3 201475
4 201655
5 201622
6 201816
7 201916
8 201816
9 201514
10 201712
11 201911
12 201611
13 20169
14 20206
15 20195
16 20135
17 20203
18 20183
19 20193
20 20203

About Lawrence Ku

Lawrence Ku is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Surgery, Pharmacology and Epidemiology, having authored 28 papers that have together received 595 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (5 papers), Pharmaceutical studies and practices (5 papers), Neonatal Respiratory Health Research (5 papers), Infant Development and Preterm Care (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pediatric Pain Management Techniques (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Microbiology (93 citations), Pediatrics, Perinatology and Child Health (198 citations), Pharmacology (78 citations), Public Health, Environmental and Occupational Health (130 citations) and Endocrine and Autonomic Systems (29 citations). Lawrence Ku has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Kim Boggess, Michael Cohen-Wolkowiez, P. Brian Smith, Christoph P. Hornik, Hiroko Maruyama, Simone Eggert, Edward H. Koo, Sheue-Houy Tyan, Patrick R. Hof and Dara L. Dickstein. Their work appears in journals such as The Journal of Pediatrics, PEDIATRICS, Pediatric Nephrology, Therapeutic Drug Monitoring and Clinical Neuropharmacology.

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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