Grace Yap

40 papers receiving 1.4k citations

Peers

Grace Yap
Comparison fields: 5 of 108
  • Public Health, Environmental and Occupational Health 1.0k
  • Infectious Diseases 607
  • Modeling and Simulation 152
  • Parasitology 65
  • Virology 35
Replace Ada Huang with:
Ada Huang United States
Jennifer Lehman United States
Day‐Yu Chao Taiwan
In-Kyu Yoon Thailand
Giuliano Silvi Italy
Frédéric Jourdain France
Vance Vorndam United States
Meng Ling Moi Japan
Robert Verity United Kingdom
A C Finarelli Italy
Grace Yap relative to Ada Huang United States Ada Huang's profile →
Citations per field
00.5×6.4×
Ada Huang · 1×
Citations per year

Countries citing papers authored by Grace Yap

Since Specialization
Citations

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

Fields of papers citing papers by Grace Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006142
2 2007130
3 2009109
4 2015106
5 201099
6 201881
7 201878
8 201671
9 201857
10 201048
11 201148
12 201942
13 201437
14 201336
15 202033
16 201432
17 201931
18 202028
19 202127
20 201925

About Grace Yap

Grace Yap is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (22 papers), Viral Infections and Vectors (12 papers), Malaria Research and Control (9 papers), Coronary Interventions and Diagnostics (3 papers), Cardiac Imaging and Diagnostics (3 papers), Genetic diversity and population structure (2 papers), Vector-borne infectious diseases (2 papers) and Dysphagia Assessment and Management (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.0k citations), Infectious Diseases (607 citations), Modeling and Simulation (152 citations), Parasitology (65 citations) and Virology (35 citations). Grace Yap has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Lee Ching Ng, Yee-Ling Lai, Jayanthi Rajarethinam, Hapuarachchige Chanditha Hapuarachchi, Chee‐Seng Chong, Eng Eong Ooi, Alex R. Cook, Yee‐Sin Leo, Janet Ong and Li Wei Ang. Their work appears in journals such as PLoS neglected tropical diseases, American Journal of Tropical Medicine and Hygiene, Parasites & Vectors, International Journal of Environmental Research and Public Health and BMC Infectious Diseases.

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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