Philip Hwang

924 citations
17 papers · 680 · h-index 13

Impact in

    • Gender Diversity and Inequality
    • Gender, Labor, and Family Dynamics
    • Child and Adolescent Psychosocial and Emotional Development
    • Family and Disability Support Research

Papers in

Philip Hwang

15 papers receiving 584 citations

Peers

Philip Hwang
Comparison fields: 5 of 73
  • Gender Studies 166
  • Clinical Psychology 264
  • Sociology and Political Science 303
  • Public Administration 23
  • Demography 73
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Citations per field
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Citations per year

Countries citing papers authored by Philip Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Philip Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Philip Hwang, 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 Philip Hwang Line = papers co-authored together Philip Hwang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002153
2 1995104
3 200363
4 199062
5 199047
6 200337
7 200936
8 200734
9 200834
10 200833
11 199930
12 200922
13 200522
14
[Do not minimize signs of postpartum depression! Early intervention essential to prevent negative consequences for the child].
20012
15 20161
16
Gruppsykologi : för skola, arbetsliv och fritid
20140
17 20000

About Philip Hwang

Philip Hwang is a scholar working on Clinical Psychology, Sociology and Political Science, Public Health, Environmental and Occupational Health, Gender Studies and Social Psychology, having authored 17 papers that have together received 680 indexed citations. Recurring topics across this work include Family and Disability Support Research (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Work-Family Balance Challenges (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Infant Development and Preterm Care (2 papers), Gender Diversity and Inequality (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Attachment and Relationship Dynamics (1 paper). The work is most often cited by research in Gender Studies (166 citations), Clinical Psychology (264 citations), Sociology and Political Science (303 citations), Public Administration (23 citations) and Demography (73 citations). Philip Hwang has collaborated with scholars based in Sweden, United States and Cameroon. Frequent co-authors include Linda Haas, Karin Allard, Malin Olsson, Anders Broberg, Michael E. Lamb, Birgitta Wickberg, Kjerstin Almqvist, Petra Boström, Malin Broberg and Pamela Massoudi. Their work appears in journals such as Journal of Reproductive and Infant Psychology, Child Development, Family Relations, Environmental Toxicology and Chemistry and Journal of Policy and Practice in Intellectual Disabilities.

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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