Emma Huang

1.7k citations
17 papers · 1.1k indexed · 3 hit papers · h-index 9

Emma Huang

14 papers receiving 1.1k citations

Hit Papers

Prevalence of mental health symptoms in children and adol...1402020202620222024100200300400500

Peers

Emma Huang
Comparison fields: 5 of 111
  • Clinical Psychology 721
  • Applied Psychology 108
  • Neurology 304
  • Experimental and Cognitive Psychology 255
  • Biological Psychiatry 44
Replace Oswin Chang with:
Oswin Chang Canada
Vittorio Lenzo Italy
Lorenzo Moccia Italy
Haewoo Lee South Korea
Bénédicte Gohier France
Won Sub Kang South Korea
Emmanouil Rizos Greece
Rebecca Ciacchini Italy
Ayşe Kurtulmuş Türkiye
V. López-Gómez Spain
Emma Huang relative to Oswin Chang Canada Oswin Chang's profile →
Citations per field
00.5×1.5×
Oswin Chang · 1×
Citations per year

Countries citing papers authored by Emma Huang

Since Specialization
Citations

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

Fields of papers citing papers by Emma Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20241
2 202320
3 20220
4 20223
5 20220
6 20221
7
Prevalence of mental health symptoms in children and adolescents during the COVID‐19 pandemic: A meta‐analysisbreakdown →
2022140
8 202122
9
The prevalence of depressive symptoms, anxiety symptoms and sleep disturbance in higher education students during the COVID-19 pandemic: A systematic review and meta-analysisbreakdown →
2021309
10 20212
11
The prevalence of depression, anxiety, and sleep disturbances in COVID‐19 patients: a meta‐analysisbreakdown →
2020512
12 202010
13 202022
14 202012
15 20060
16 20051
17 200423

About Emma Huang

Emma Huang is a scholar working on Biological Psychiatry, Applied Psychology and Behavioral Neuroscience, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Prenatal Substance Exposure Effects (2 papers), Food Security and Health in Diverse Populations (2 papers), Adrenal Hormones and Disorders (2 papers), Digital Mental Health Interventions (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Clinical Psychology (721 citations), Applied Psychology (108 citations) and Neurology (304 citations). Emma Huang has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Jiawen Deng, Fangwen Zhou, Zachary Silver, Chi Yi Wong, Wenteng Hou, Oswin Chang, Qi Zuo, Anastasia Drakos, Kiyan Heybati and Harikrishnaa Ba Ramaraju. Their work appears in journals such as Annals of the New York Academy of Sciences, Neuroscience and Critical Care 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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