Owen Daly

764 citations
11 papers · 515 · 1 hit paper · h-index 8

Impact in

Papers in

    • Protist diversity and phylogeny 2
    • RNA Interference and Gene Delivery 2
    • DNA Repair Mechanisms 1
    • Microtubule and mitosis dynamics 5

Owen Daly

11 papers receiving 510 citations

Owen Daly's Hit Papers

The Longitudinal Association Between Social-Media Use and Depressive Symptoms Among Adolescents and Young Adults: An Empirical Reply to Twenge et al. (2018) 2019 · 186 citations
1860+2+4Years since publication50100150

Peers

Owen Daly
Comparison fields: 5 of 69
  • Applied Psychology 52
  • Cell Biology 139
  • Communication 33
  • Clinical Psychology 84
  • Molecular Biology 233
Replace Rebecca de Leeuw with:
Rebecca de Leeuw Netherlands
Eric Seemann Germany
Heather Robinson United Kingdom
Katherine L. Friedman United States
Ruth Gershoni Israel
Judith A. Perry Norway
Xinghui Zhang China
Jiameng Li China
Shun-Wen Chen Taiwan
Yiwen Zhang China
Owen Daly relative to Rebecca de Leeuw Netherlands Rebecca de Leeuw's profile →
Citations per field
00.5×5.8×
Rebecca de Leeuw · 1×
Citations per year

Countries citing papers authored by Owen Daly

Since Specialization
Citations

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

Fields of papers citing papers by Owen Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
The Longitudinal Association Between Social-Media Use and Depressive Symptoms Among Adolescents and Young Adults: An Empirical Reply to Twenge et al. (2018)
Hit paper breakdown →
2019186
2 201393
3 202374
4 201247
5 201630
6 202027
7 201324
8 201824
9 20236
10 20132
11
THE GENERAL AND COMPARATIVE BIOLOGY OF EXPERIMENTAL ATMOSPHERES AND OTHER STRESS CONDITIONS: SOME NOTES ON THE BEHAVIOR OF INSECTS AND OTHER INVERTEBRATES.
19632

About Owen Daly

Owen Daly is a scholar working on Molecular Biology, Cell Biology, Genetics, Clinical Psychology and Communication, having authored 11 papers that have together received 515 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genetic and Kidney Cyst Diseases (3 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Protist diversity and phylogeny (2 papers), RNA Interference and Gene Delivery (2 papers), Attachment and Relationship Dynamics (1 paper), DNA Repair Mechanisms (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Applied Psychology (52 citations), Cell Biology (139 citations), Communication (33 citations), Clinical Psychology (84 citations) and Molecular Biology (233 citations). Owen Daly has collaborated with scholars based in Ireland, Germany and Canada. Frequent co-authors include Teena Willoughby, Taylor Heffer, Marie Good, Ciaran G. Morrison, Tiago J. Dantas, Mark Dunning, Fanni Gergely, John V. Kilmartin, James Heyes and Kevin McClintock. Their work appears in journals such as Journal of Cell Science, Clinical Psychological Science, Psychiatry Research, Cellular and Molecular Life Sciences and PLoS ONE.

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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