Daisy Dai
- Immunology top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 3
-
- Cardiac Valve Diseases and Treatments 2
-
- Chronic Disease Management Strategies 3
- Infective Endocarditis Diagnosis and Management 2
-
- Diabetes Management and Education 2
-
- Cardiac Structural Anomalies and Repair 2
-
- Digital Marketing and Social Media 2
-
- Intensive Care Unit Cognitive Disorders 2
- Co-authors
- Thomas F. GajewskiBrendan HortonStefani SprangerDennis R. RoopMaranke I. KosterAntonio CostanzoMichael KarinBarbara Marinari
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Cardiovascular Diabetology (2 papers)International Journal of Environmental Research and Public Health (2 papers)Pigment Cell & Melanoma Research (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Daisy Dai
19 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 818
- Oncology 860
- Cancer Research 117
- Cardiology and Cardiovascular Medicine 175
- Molecular Biology 465
Countries citing papers authored by Daisy Dai
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
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
The 25 scholars most cited alongside Daisy Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2022 | 13 | |
| 7 | 2018 | 9 | |
| 8 | 2018 | 2 | |
| 9 | Tumor-Residing Batf3 Dendritic Cells Are Required for Effector T Cell Trafficking and Adoptive T Cell Therapybreakdown → | 2017 | 1002 |
| 10 | 2016 | 4 | |
| 11 | 2015 | 33 | |
| 12 | 2014 | 36 | |
| 13 | 2014 | 72 | |
| 14 | 2014 | 4 | |
| 15 | 2014 | 18 | |
| 16 | 2010 | 50 | |
| 17 | 2007 | 45 | |
| 18 | 2007 | 187 | |
| 19 | 2005 | 97 | |
| 20 | 2003 | 83 |
About Daisy Dai
Daisy Dai is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (3 papers), Cancer-related Molecular Pathways (3 papers), Cardiac Valve Diseases and Treatments (2 papers), Diabetes Management and Education (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Digital Marketing and Social Media (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Immunology (818 citations), Oncology (860 citations) and Cancer Research (117 citations). Daisy Dai has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Thomas F. Gajewski, Brendan Horton, Stefani Spranger, Dennis R. Roop, Maranke I. Koster, Antonio Costanzo, Michael Karin, Barbara Marinari, Yuji Sano and Francesca Nesta. Their work appears in journals such as Cardiovascular Diabetology, International Journal of Environmental Research and Public Health, Pigment Cell & Melanoma Research, PEDIATRICS and Circulation.
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.