Say How Ong

58 total papers · 1.0k total citations
30 papers, 440 citations indexed

About

Say How Ong is a scholar working on Clinical Psychology, Education and Social Psychology. According to data from OpenAlex, Say How Ong has authored 30 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Clinical Psychology, 9 papers in Education and 8 papers in Social Psychology. Recurrent topics in Say How Ong's work include Child and Adolescent Psychosocial and Emotional Development (18 papers), Suicide and Self-Harm Studies (7 papers) and Child Development and Digital Technology (7 papers). Say How Ong is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (18 papers), Suicide and Self-Harm Studies (7 papers) and Child Development and Digital Technology (7 papers). Say How Ong collaborates with scholars based in Singapore, United States and Finland. Say How Ong's co-authors include Mythily Subramaniam, Priya Wickramaratne, Siow Ann Chong, Min Tang, Myrna M. Weissman, Rajeswari Sambasivam, Shazana Shahwan, Daniel Fung, Yunjue Zhang and Mithila Mahesh and has published in prestigious journals such as Journal of the American Academy of Child & Adolescent Psychiatry, Journal of Affective Disorders and International Journal of Environmental Research and Public Health.

In The Last Decade

Say How Ong

27 papers receiving 427 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Say How Ong 278 102 93 82 80 30 440
Tilman Reinelt 275 1.0× 77 0.8× 72 0.8× 71 0.9× 92 1.1× 36 485
Seyed Kaveh Hojjat 224 0.8× 63 0.6× 100 1.1× 70 0.9× 45 0.6× 35 399
Hannah R. Lawrence 315 1.1× 52 0.5× 87 0.9× 114 1.4× 52 0.7× 31 437
Richard M. Sarles 324 1.2× 64 0.6× 59 0.6× 73 0.9× 102 1.3× 32 495
Chardée A. Galán 288 1.0× 80 0.8× 105 1.1× 110 1.3× 83 1.0× 39 450
Stephen N. Xenakis 361 1.3× 80 0.8× 89 1.0× 59 0.7× 71 0.9× 28 493
Rachna Bhargava 227 0.8× 73 0.7× 107 1.2× 66 0.8× 63 0.8× 38 440
Katja Mackowiak 291 1.0× 131 1.3× 71 0.8× 65 0.8× 110 1.4× 19 484
Lydia Gabriela Speyer 260 0.9× 100 1.0× 50 0.5× 86 1.0× 80 1.0× 50 461
Antonio Mendoza Diaz 279 1.0× 84 0.8× 93 1.0× 50 0.6× 75 0.9× 34 484

Countries citing papers authored by Say How Ong

Since Specialization
Citations

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

Fields of papers citing papers by Say How Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Say How Ong. 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 Say How Ong. The network helps show where Say How Ong may publish in the future.

Co-authorship network of co-authors of Say How Ong

This figure shows the co-authorship network connecting the top 25 collaborators of Say How Ong. A scholar is included among the top collaborators of Say How Ong 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 Say How Ong. Say How Ong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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