Hsiang Huang

39.9k total citations
61 papers, 1.2k citations indexed

About

Hsiang Huang is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Hsiang Huang has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 22 papers in Public Health, Environmental and Occupational Health and 20 papers in Clinical Psychology. Recurrent topics in Hsiang Huang's work include Maternal Mental Health During Pregnancy and Postpartum (18 papers), Mental Health Treatment and Access (17 papers) and Suicide and Self-Harm Studies (7 papers). Hsiang Huang is often cited by papers focused on Maternal Mental Health During Pregnancy and Postpartum (18 papers), Mental Health Treatment and Access (17 papers) and Suicide and Self-Harm Studies (7 papers). Hsiang Huang collaborates with scholars based in United States, Brazil and China. Hsiang Huang's co-authors include Karen M. Tabb, Paulo Rossi Menezes, Wayne Katon, Ya-Fen Chan, Margaret Spottswood, Dimitry S. Davydow, Jürgen Unützer, Alexandre Faisal‐Cury, Amy M. Bauer and Jeffrey A. Bridge and has published in prestigious journals such as PLoS ONE, Journal of Affective Disorders and Journal of General Internal Medicine.

In The Last Decade

Hsiang Huang

61 papers receiving 1.1k citations

Peers

Hsiang Huang
Comparison fields: 5 of 117
  • Public Health, Environmental and Occupational Health 458
  • Clinical Psychology 443
  • General Health Professions 281
  • Social Psychology 242
  • Epidemiology 167
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Michael Parsonage United Kingdom
Valentina Iemmi United Kingdom
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Cristie Glasheen United States
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Citations per field, relative to Hsiang Huang
Hsiang Huang · 1×
Citations per year, relative to Hsiang Huang
Hsiang Huang · 1×

Countries citing papers authored by Hsiang Huang

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiang Huang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 8
3 20
4 13
5 2
6 12
7 6
8 15
9 3
10 15
11 27
12 10
13 10
14 4
15 12
16 36
17 40
18 6
19 128
20 22

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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