Ying Ying Chua

758 citations
12 papers · 333 indexed · h-index 6
Topics
COVID-19 and Mental Health (3 papers)COVID-19 epidemiological studies (2 papers)COVID-19 Clinical Research Studies (2 papers)
Partner nations
Singapore

In The Last Decade

Ying Ying Chua

12 papers receiving 325 citations

Peers

Ying Ying Chua
Comparison fields: 5 of 71
  • Infectious Diseases 153
  • Oncology 125
  • Clinical Psychology 79
  • Pulmonary and Respiratory Medicine 59
  • Modeling and Simulation 56
Replace Edwin Philip Conceicao with:
Edwin Philip Conceicao Singapore
Venkataraman Palabindala United States
Mireia Fàbregas Spain
Milagros Yunes United States
Joseph J. Cavallo United States
Xiang Ying Jean Sim Singapore
‏Yousef Alsofayan Saudi Arabia
Deepa Malhotra United States
João Gabriel Mayrinck Gelli Brazil
Julia Andrieni United States
Ying Ying Chua relative to Edwin Philip Conceicao Singapore Edwin Philip Conceicao's profile →
Citations per field
00.5×1.5×
Edwin Philip Conceicao · 1×
Citations per year

Countries citing papers authored by Ying Ying Chua

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ying Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Ying Chua

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Ying Chua. A scholar is included among the top collaborators of Ying Ying Chua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Ying Chua. Ying Ying Chua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 2
3 3
4 42
5 83
6 81
7 15
8 91
9 10
10 1
11 1
12 2

About Ying Ying Chua

Ying Ying Chua is a scholar working on Family Practice, Modeling and Simulation and Infectious Diseases, having authored 12 papers that have together received 333 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (3 papers), COVID-19 epidemiological studies (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Modeling and Simulation (56 citations), Infectious Diseases (153 citations) and Emergency Medical Services (34 citations). Ying Ying Chua has collaborated with scholars based in Singapore. Frequent co-authors include Liang En Wee, Xiang Ying Jean Sim, Edwin Philip Conceicao, Indumathi Venkatachalam, Ban Hock Tan, Heng Joo Ng, Wan Hui Wong, Chuen Wen Tan, Jenny G. Low and Andrew Fu Wah Ho. Their work appears in journals such as SHILAP Revista de lepidopterología, Infection Control and Hospital Epidemiology and Academic Emergency Medicine.

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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