Wee Hoe Gan

27 papers receiving 461 citations

Peers

Wee Hoe Gan
Comparison fields: 5 of 118
  • Modeling and Simulation 54
  • Clinical Psychology 98
  • General Dentistry 7
  • Medical Laboratory Technology 6
  • Infectious Diseases 74
Replace Maurizio Coggiola with:
Maurizio Coggiola Italy
Ines Mesa‐Eguiagaray United Kingdom
Jing Shan China
Stephanie Tuminello United States
Kerui Xu United States
Michele Lagioia Italy
Brett L. Arron United States
Patricia Greenberg United States
Beuy Joob Thailand
Jiangjiang He China
Wee Hoe Gan relative to Maurizio Coggiola Italy Maurizio Coggiola's profile →
Citations per field
00.5×2.6×
Maurizio Coggiola · 1×
Citations per year

Countries citing papers authored by Wee Hoe Gan

Since Specialization
Citations

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

Fields of papers citing papers by Wee Hoe Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wee Hoe Gan. 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 Hoe Gan. The network helps show where Wee Hoe Gan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020189
2 202085
3 202128
4 202124
5
Nutrition survey in dental fluorosis-afflicted areas.
199719
6 202016
7 200813
8 202012
9 202111
10 201310
11 201310
12 20209
13 20128
14 20207
15 20236
16
[An epidemiological study on pesticide poisoning with mixed preparation].
20016
17 20195
18 20224
19 20213
20 20223

About Wee Hoe Gan

Wee Hoe Gan is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, General Health Professions, Economics and Econometrics and Modeling and Simulation, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Infection Control and Ventilation (4 papers), COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (3 papers), Workplace Health and Well-being (3 papers), Influenza Virus Research Studies (2 papers), COVID-19 and Mental Health (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Employment and Welfare Studies (2 papers). The work is most often cited by research in Modeling and Simulation (54 citations), Clinical Psychology (98 citations), General Dentistry (7 citations), Medical Laboratory Technology (6 citations) and Infectious Diseases (74 citations). Wee Hoe Gan has collaborated with scholars based in Singapore, Brunei and United Kingdom. Frequent co-authors include David Koh, Moi Lin Ling, Liang En Wee, Indumathi Venkatachalam, Edwin Philip Conceicao, Ban Hock Tan, May Kyawt Aung, Ying Ying Chua, Thuan Tong Tan and Xiang Ying Jean Sim. Their work appears in journals such as Safety and Health at Work, Occupational Medicine, Industrial Health, American Journal of Infection Control and The Lancet Regional Health - Western Pacific.

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