Daniel J. Wen

543 citations
19 papers · 389 · h-index 7

Impact in

Papers in

    • Child and Adolescent Psychosocial and Emotional Development 7
    • Resilience and Mental Health 4
    • Psychological Well-being and Life Satisfaction 4

Daniel J. Wen

18 papers receiving 386 citations

Peers

Daniel J. Wen
Comparison fields: 5 of 46
  • Public Health, Environmental and Occupational Health 226
  • Clinical Psychology 148
  • Pediatrics, Perinatology and Child Health 122
  • Behavioral Neuroscience 23
  • Cognitive Neuroscience 63
Replace Cassandra L. Hendrix with:
Cassandra L. Hendrix United States
Alexandra Lautarescu United Kingdom
Susanne Stickel Germany
Anne M. DeBattista United States
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Lynn M. Evans United States
Narcis Marshall United States
Eija Sinervä Finland
Barbara M. Gutteling Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Wen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Wen. 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 Daniel J. Wen. The network helps show where Daniel J. Wen may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017146
2 201768
3 201654
4 201728
5 201924
6 201922
7 201820
8 20225
9 20225
10 20223
11 20223
12 20242
13 20212
14 20222
15 20252
16 20181
17
Long-term Influences of Prenatal Maternal Depressive Symptoms on the Amygdala-Prefrontal Circuitry of the Offspring from Birth to Childhood
20191
18 20121
19 20230

About Daniel J. Wen

Daniel J. Wen is a scholar working on Clinical Psychology, Social Psychology, Public Health, Environmental and Occupational Health, Health and Pediatrics, Perinatology and Child Health, having authored 19 papers that have together received 389 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (7 papers), Maternal Mental Health During Pregnancy and Postpartum (6 papers), Psychological Well-being and Life Satisfaction (4 papers), Resilience and Mental Health (4 papers), Optimism, Hope, and Well-being (3 papers), Health disparities and outcomes (3 papers), Infant Development and Preterm Care (3 papers) and Early Childhood Education and Development (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (226 citations), Clinical Psychology (148 citations), Pediatrics, Perinatology and Child Health (122 citations), Behavioral Neuroscience (23 citations) and Cognitive Neuroscience (63 citations). Daniel J. Wen has collaborated with scholars based in Singapore, Canada and Netherlands. Frequent co-authors include Anqi Qiu, Yap Seng Chong, Joann S. Poh, Peter D. Gluckman, Michael J. Meaney, Marielle V. Fortier, Lynette Pei‐Chi Shek, Kenneth Kwek, Helen Chen and Anne Rifkin‐Graboi. Their work appears in journals such as Translational Psychiatry, Depression and Anxiety, Family Relations, PLoS ONE and BMJ Open.

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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