Wee‐Ming Boon

19 papers receiving 626 citations

Peers

Wee‐Ming Boon
Comparison fields: 5 of 88
  • Obstetrics and Gynecology 142
  • Pediatrics, Perinatology and Child Health 236
  • Ecological Modeling 27
  • Nature and Landscape Conservation 63
  • Behavioral Neuroscience 16
Replace Graciela A. Jahn with:
Graciela A. Jahn Argentina
Connie Jörgensen Denmark
Pancharatnam Jeyasuria United States
Kiyoshi Ishida Japan
Masako Yamamoto Japan
R. C. Bonney United Kingdom
S. Hisheh Australia
Josie Hughes Canada
Rosemarie Baumann Germany
L. Martin United Kingdom
Wee‐Ming Boon relative to Graciela A. Jahn Argentina Graciela A. Jahn's profile →
Citations per field
00.5×3.0×
Graciela A. Jahn · 1×
Citations per year

Countries citing papers authored by Wee‐Ming Boon

Since Specialization
Citations

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

Fields of papers citing papers by Wee‐Ming Boon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2006123
2 2007112
3 200493
4 200559
5 200151
6 200039
7 200534
8 200332
9 200930
10 200119
11 200416
12 200816
13 201712
14 20039
15 20094
16 20081
17 20051
18 20071
19 20151

About Wee‐Ming Boon

Wee‐Ming Boon is a scholar working on Molecular Biology, Nature and Landscape Conservation, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Ecology, having authored 19 papers that have together received 653 indexed citations. Recurring topics across this work include Wildlife Conservation and Criminology Analyses (4 papers), Pregnancy and preeclampsia studies (3 papers), Identification and Quantification in Food (3 papers), Birth, Development, and Health (3 papers), Wildlife Ecology and Conservation (2 papers), Sleep and Wakefulness Research (2 papers), Regulation of Appetite and Obesity (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Obstetrics and Gynecology (142 citations), Pediatrics, Perinatology and Child Health (236 citations), Ecological Modeling (27 citations), Nature and Landscape Conservation (63 citations) and Behavioral Neuroscience (16 citations). Wee‐Ming Boon has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Karen M. Moritz, Geoffrey K. Chambers, E. Marelyn Wintour, Seong‐Seng Tan, Helena C. Parkington, Marianne Tare, Hamish S. Scott, Kristen J. Bubb, John F. Bertram and Charles H. Daugherty. Their work appears in journals such as The Journal of Physiology, Emu - Austral Ornithology, Bioinformatics, Australian Journal of Botany and Bird Conservation International.

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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