Boon Lim

718 citations
39 papers · 493 · h-index 10

Impact in

Papers in

Boon Lim

34 papers receiving 440 citations

Peers

Boon Lim
Comparison fields: 5 of 55
  • Obstetrics and Gynecology 196
  • Pediatrics, Perinatology and Child Health 66
  • Public Health, Environmental and Occupational Health 130
  • Endocrinology, Diabetes and Metabolism 44
  • Hepatology 17
Replace Oya Demirci with:
Oya Demirci Türkiye
А. В. Михайлов Russia
Hiralal Konar India
Ruby Jose India
Narendra Malhotra India
Sebnem Sen Ozyer Türkiye
Anthony Osita Igwegbe Nigeria
Joan Crane Canada
Dittakarn Boriboonhirunsarn Thailand
T.R. Varma United Kingdom
Boon Lim relative to Oya Demirci Türkiye Oya Demirci's profile →
Citations per field
00.5×2×3×3.9×
Oya Demirci · 1×
Citations per year

Countries citing papers authored by Boon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Boon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010146
2 199779
3 201142
4 201829
5 199028
6 201427
7 202116
8 199514
9 199211
10 198910
11 201510
12 20198
13 20147
14 20167
15 20177
16 20036
17 20106
18 20024
19 20144
20 20174

About Boon Lim

Boon Lim is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 493 indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (7 papers), Maternal and fetal healthcare (5 papers), Reproductive Health and Contraception (4 papers), Gestational Diabetes Research and Management (4 papers), Preterm Birth and Chorioamnionitis (4 papers), Pregnancy and preeclampsia studies (3 papers), Influenza Virus Research Studies (3 papers) and Medical History and Innovations (2 papers). The work is most often cited by research in Obstetrics and Gynecology (196 citations), Pediatrics, Perinatology and Child Health (66 citations), Public Health, Environmental and Occupational Health (130 citations), Endocrinology, Diabetes and Metabolism (44 citations) and Hepatology (17 citations). Boon Lim has collaborated with scholars based in Australia, United Kingdom and China. Frequent co-authors include J Roland, Rosemary Temple, Shiu-Ching Soo, Timothy Charles Skinner, Helen Murphy, Eleanor M. Gurnell, David S Simmons, Jose Miguel Palacios-Jaraquemada, Louis WC Chow and PETER M. STEWART. Their work appears in journals such as BJOG An International Journal of Obstetrics & Gynaecology, Australian and New Zealand Journal of Obstetrics and Gynaecology, The Lancet, Best Practice & Research Clinical Obstetrics & Gynaecology and Diabetes Care.

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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