Daisy Dai

2.3k total citations · 1 hit paper
20 papers, 1.7k citations indexed

About

Daisy Dai is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Daisy Dai has authored 20 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Daisy Dai's work include Chronic Disease Management Strategies (3 papers), Cancer-related Molecular Pathways (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). Daisy Dai is often cited by papers focused on Chronic Disease Management Strategies (3 papers), Cancer-related Molecular Pathways (3 papers) and Cardiac Valve Diseases and Treatments (2 papers). Daisy Dai collaborates with scholars based in United States, China and Hong Kong. Daisy Dai's co-authors include Brendan Horton, Stefani Spranger, Thomas F. Gajewski, Dennis R. Roop, Maranke I. Koster, Barbara Marinari, Michael Karin, Yuji Sano, Antonio Costanzo and Francesca Nesta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Daisy Dai

19 papers receiving 1.6k citations

Hit Papers

Tumor-Residing Batf3 Dendritic Cells Are Required for Eff... 2017 2026 2020 2023 2017 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tumor-Residing Batf3 Dendritic Cells Are Required for Effector T Cell Trafficking and Adoptive T Cell Therapy
    2017 1.0k citations Stefani Spranger, Daisy Dai et al. Cancer Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daisy Dai United States 12 860 818 465 175 160 20 1.7k
Andreas Trojan Switzerland 22 741 0.9× 567 0.7× 339 0.7× 96 0.5× 111 0.7× 64 1.8k
Laura Evelia Torres Velázquez Mexico 13 872 1.0× 725 0.9× 502 1.1× 36 0.2× 75 0.5× 50 1.6k
Thomas A. Lane United States 23 300 0.3× 399 0.5× 322 0.7× 69 0.4× 150 0.9× 90 1.9k
Pooja Hingorani United States 24 725 0.8× 307 0.4× 577 1.2× 174 1.0× 119 0.7× 72 1.8k
Alfred L. Garfall United States 23 2.0k 2.3× 1.3k 1.6× 1.2k 2.6× 87 0.5× 153 1.0× 108 3.4k
A. Jo Chien United States 23 1.1k 1.3× 175 0.2× 367 0.8× 38 0.2× 55 0.3× 94 2.1k
Fabio Conforti Italy 18 1.2k 1.4× 390 0.5× 398 0.9× 19 0.1× 101 0.6× 78 1.9k
Michael E. Hurwitz United States 19 582 0.7× 290 0.4× 364 0.8× 28 0.2× 83 0.5× 76 1.1k
Yangyang Wang China 18 444 0.5× 273 0.3× 301 0.6× 21 0.1× 91 0.6× 64 1.0k
Laura A. Sullivan United States 17 739 0.9× 330 0.4× 743 1.6× 19 0.1× 62 0.4× 36 1.7k

Countries citing papers authored by Daisy Dai

Since Specialization
Citations

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

Fields of papers citing papers by Daisy Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisy Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Daisy Dai. A scholar is included among the top collaborators of Daisy Dai 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 Daisy Dai. Daisy Dai 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
1.
2.
Dai, Daisy, Ting Wang, Ying Wu, et al.. (2025). CDK1-mediated phosphorylation of LDHA fuels mitosis through LDHB-dependent lactate oxidation. EMBO Reports. 26(20). 4923–4949. 1 indexed citations
3.
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Dai, Daisy, et al.. (2024). Early-onset and uncontrolled diabetes mellitus factors correlate with complications of Peyronie’s disease. The Journal of Sexual Medicine. 21(8). 716–722. 1 indexed citations
5.
Abbey, Cody, et al.. (2022). The Association between Video Game Time and Adolescent Mental Health: Evidence from Rural China. International Journal of Environmental Research and Public Health. 19(22). 14815–14815. 11 indexed citations
6.
Abbey, Cody, et al.. (2022). The Role of Self-Esteem in the Academic Performance of Rural Students in China. International Journal of Environmental Research and Public Health. 19(20). 13317–13317. 13 indexed citations
7.
Dai, Daisy & Michael Luca. (2018). Digitizing Disclosure: The Case of Restaurant Hygiene Scores. SSRN Electronic Journal. 9 indexed citations
8.
Dai, Daisy, et al.. (2018). Prescribing Propranolol for Hemangioma of Infancy: Assessment of Dosing Errors. PEDIATRICS. 142(1_MeetingAbstract). 800–800. 2 indexed citations
9.
Spranger, Stefani, Daisy Dai, Brendan Horton, & Thomas F. Gajewski. (2017). Tumor-Residing Batf3 Dendritic Cells Are Required for Effector T Cell Trafficking and Adoptive T Cell Therapy. Cancer Cell. 31(5). 711–723.e4. 1002 indexed citations breakdown →
10.
Dai, Daisy & Michael Luca. (2016). Effectiveness of Paid Search Advertising: Experimental Evidence. SSRN Electronic Journal. 4 indexed citations
11.
Fung, Colman Siu Cheung, Eric Yuk Fai Wan, Sarah M. McGhee, et al.. (2015). Long-term effects of the multidisciplinary risk assessment and management program for patients with diabetes mellitus (RAMP-DM): a population-based cohort study. Cardiovascular Diabetology. 14(1). 105–105. 33 indexed citations
12.
Wong, Carlos King Ho, William Chi Wai Wong, Cindy Lo Kuen Lam, et al.. (2014). Effects of Patient Empowerment Programme (PEP) on Clinical Outcomes and Health Service Utilization in Type 2 Diabetes Mellitus in Primary Care: An Observational Matched Cohort Study. PLoS ONE. 9(5). e95328–e95328. 72 indexed citations
13.
Dai, Daisy, et al.. (2014). Banning Foreign Pharmacies from Sponsored Search: The Online Consumer Response. SSRN Electronic Journal. 4 indexed citations
14.
15.
Dai, Daisy, Ginger Zhe Jin, Jungmin Lee, & Michael Luca. (2014). Optimal Aggregation of Consumer Ratings: An Application to Yelp.com. SSRN Electronic Journal. 18 indexed citations
16.
Terzian, Tamara, Enrique C. Torchia, Daisy Dai, et al.. (2010). p53 prevents progression of nevi to melanoma predominantly through cell cycle regulation. Pigment Cell & Melanoma Research. 23(6). 781–794. 50 indexed citations
17.
Koster, Maranke I., Daisy Dai, & Dennis R. Roop. (2007). Conflicting Roles for p63 in Skin Development and Carcinogenesis. Cell Cycle. 6(3). 269–273. 45 indexed citations
18.
Koster, Maranke I., Daisy Dai, Barbara Marinari, et al.. (2007). p63 induces key target genes required for epidermal morphogenesis. Proceedings of the National Academy of Sciences. 104(9). 3255–3260. 187 indexed citations
19.
Nesta, Francesca, Maire Leyne, Chaim Yosefy, et al.. (2005). New Locus for Autosomal Dominant Mitral Valve Prolapse on Chromosome 13. Circulation. 112(13). 2022–2030. 97 indexed citations
20.
Freed, Lisa A., James S. Acierno, Daisy Dai, et al.. (2003). A Locus for Autosomal Dominant Mitral Valve Prolapse on Chromosome 11p15.4. The American Journal of Human Genetics. 72(6). 1551–1559. 83 indexed citations

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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