L. Foo

563 citations
12 papers · 356 indexed · h-index 6

Impact in

Papers in

L. Foo

9 papers receiving 349 citations

Peers

L. Foo
Comparison fields: 5 of 49
  • Obstetrics and Gynecology 272
  • Pediatrics, Perinatology and Child Health 240
  • Cardiology and Cardiovascular Medicine 53
  • Psychiatry and Mental health 33
  • Molecular Biology 95
Replace Grace Z. Yu with:
Grace Z. Yu United Kingdom
Renuka Shanmugalingam Australia
Perrie O’Tierney United States
Michelle Broekhuizen Netherlands
Anne Stine Kvehaugen Norway
Antonio Gonzalez‐Ruiz United States
Shuhiba Mohammad Canada
Bilge Çetinkaya Demir Türkiye
P. E. Breukhoven Netherlands
Justin Brewer United States
L. Foo relative to Grace Z. Yu United Kingdom Grace Z. Yu's profile →
Citations per field
00.5×3.3×
Grace Z. Yu · 1×
Citations per year

Countries citing papers authored by L. Foo

Since Specialization
Citations

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

Fields of papers citing papers by L. Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2015157
2 201897
3 201339
4 201525
5 201721
6 20209
7 20175
8 20241
9 20161
10 20161
11 20250
12 20170

About L. Foo

L. Foo is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 356 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Birth, Development, and Health (4 papers), Cardiovascular Issues in Pregnancy (4 papers), Gestational Diabetes Research and Management (3 papers), Maternal and fetal healthcare (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers), COVID-19 diagnosis using AI (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Obstetrics and Gynecology (272 citations), Pediatrics, Perinatology and Child Health (240 citations), Cardiology and Cardiovascular Medicine (53 citations), Psychiatry and Mental health (33 citations) and Molecular Biology (95 citations). L. Foo has collaborated with scholars based in United Kingdom, Belgium and Italy. Frequent co-authors include Carmel M. McEniery, C. Lees, Ian B. Wilkinson, Vardhman K. Rakyan, G. A. Hitman, Ajay Sinha, David Williams, Phillip R. Bennett, Christopher Mathews and Sarah Finer. Their work appears in journals such as Ultrasound in Obstetrics and Gynecology, The Journal of Maternal-Fetal & Neonatal Medicine, Human Molecular Genetics, American Journal of Obstetrics and Gynecology and Nurse Education in Practice.

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.

Explore authors with similar magnitude of impact