Daniel J. Wen

25 total papers · 525 total citations
19 papers, 373 citations indexed

About

Daniel J. Wen is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Social Psychology. According to data from OpenAlex, Daniel J. Wen has authored 19 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Clinical Psychology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Social Psychology. Recurrent topics in Daniel J. Wen's work include Child and Adolescent Psychosocial and Emotional Development (8 papers), Maternal Mental Health During Pregnancy and Postpartum (7 papers) and Infant Development and Preterm Care (4 papers). Daniel J. Wen is often cited by papers focused on Child and Adolescent Psychosocial and Emotional Development (8 papers), Maternal Mental Health During Pregnancy and Postpartum (7 papers) and Infant Development and Preterm Care (4 papers). Daniel J. Wen collaborates with scholars based in Singapore, Canada and Belgium. Daniel J. Wen's co-authors include Yap Seng Chong, Anqi Qiu, Joann S. Poh, Peter D. Gluckman, Marielle V. Fortier, Michael J. Meaney, Lynette Pei‐Chi Shek, Kenneth Kwek, Helen Chen and Anne Rifkin‐Graboi and has published in prestigious journals such as PLoS ONE, Human Brain Mapping and BMJ Open.

In The Last Decade

Daniel J. Wen

17 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel J. Wen 250 182 176 70 68 19 373
Lit Wee Sim 229 0.9× 206 1.1× 159 0.9× 67 1.0× 98 1.4× 11 382
Alexandra Lautarescu 208 0.8× 109 0.6× 148 0.8× 55 0.8× 31 0.5× 17 407
Cassandra L. Hendrix 140 0.6× 146 0.8× 95 0.5× 72 1.0× 46 0.7× 26 343
Juho Pelto 215 0.9× 218 1.2× 129 0.7× 41 0.6× 103 1.5× 36 421
Leticia Gutiérrez-Galve 146 0.6× 131 0.7× 56 0.3× 122 1.7× 37 0.5× 10 355
Peggy MacLean 54 0.2× 169 0.9× 179 1.0× 32 0.5× 78 1.1× 21 353
Jeanette K. Kenley 59 0.2× 78 0.4× 246 1.4× 201 2.9× 40 0.6× 23 438
Diana Weindrich 51 0.2× 166 0.9× 172 1.0× 30 0.4× 24 0.4× 13 389
Scherri B. Holland 127 0.5× 87 0.5× 284 1.6× 58 0.8× 43 0.6× 17 434
Michelle S. Horner 105 0.4× 147 0.8× 43 0.2× 91 1.3× 121 1.8× 25 379

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-authorship network of co-authors of Daniel J. Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Wen. A scholar is included among the top collaborators of Daniel J. Wen 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 Daniel J. Wen. Daniel J. Wen 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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