Jonathan Lai

801 citations
16 papers · 544 · h-index 11

Impact in

Papers in

Jonathan Lai

16 papers receiving 528 citations

Peers

Jonathan Lai
Comparison fields: 5 of 66
  • Obstetrics and Gynecology 337
  • Pediatrics, Perinatology and Child Health 229
  • Clinical Biochemistry 20
  • Biological Psychiatry 4
  • Hepatology 11
Replace J. E. DiGiacomo with:
J. E. DiGiacomo United States
Maria R. Pierce United States
Michał Lipa Poland
Michiko Kubo Japan
Chunhua Zhang China
Anna R. Dover United Kingdom
R. Green United Kingdom
Akihiro Tani Japan
Mohammad Hayat Bhat India
Náyade del Prado Spain
Jonathan Lai relative to J. E. DiGiacomo United States J. E. DiGiacomo's profile →
Citations per field
00.5×7.6×
J. E. DiGiacomo · 1×
Citations per year

Countries citing papers authored by Jonathan Lai

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012155
2 202058
3 201450
4 197949
5 201645
6 201335
7 201831
8 201327
9 201326
10 201220
11 197720
12 201210
13 20199
14 20227
15 20211
16 20201

About Jonathan Lai

Jonathan Lai is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Pulmonary and Respiratory Medicine and Nephrology, having authored 16 papers that have together received 544 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Neonatal and fetal brain pathology (3 papers), Neonatal Respiratory Health Research (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), S100 Proteins and Annexins (1 paper), Soft tissue tumor case studies (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (337 citations), Pediatrics, Perinatology and Child Health (229 citations), Clinical Biochemistry (20 citations), Biological Psychiatry (4 citations) and Hepatology (11 citations). Jonathan Lai has collaborated with scholars based in United Kingdom, Belgium and Netherlands. Frequent co-authors include K. H. Nicolaides, Argyro Syngelaki, Ranjit Akolekar, Ravi Vaidyanathan, Niamh C. Nowlan, Laura A. Magee, Peter von Dadelszen, Kypros H. Nicolaides, Spyros Bakalis and G. S. Sarna. Their work appears in journals such as Fetal Diagnosis and Therapy, American Journal of Obstetrics and Gynecology, The Journal of Maternal-Fetal & Neonatal Medicine, Neurology and Acta Obstetricia Et Gynecologica Scandinavica.

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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