Chen Dai

44 papers receiving 589 citations

Peers

Chen Dai
Comparison fields: 5 of 79
  • Geriatrics and Gerontology 93
  • Psychiatry and Mental health 78
  • Physiology 98
  • Cardiology and Cardiovascular Medicine 75
  • Family Practice 6
Replace R.E. Roller with:
R.E. Roller Austria
Melisa Litchfield Australia
Birkan İlhan Türkiye
Sheila R. Weiss United States
Edwin Geleijn Netherlands
Jacek Polański Poland
Francis Pang United Kingdom
Andrew Nixon United Kingdom
Carole Ayav France
María Marqueta de Salas Spain
Chen Dai relative to R.E. Roller Austria R.E. Roller's profile →
Citations per field
00.5×6.6×
R.E. Roller · 1×
Citations per year

Countries citing papers authored by Chen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201899
2 202148
3 202041
4 202034
5 201627
6 202224
7 202224
8 202123
9 201720
10 201819
11 202017
12 202115
13 202115
14 201714
15 202113
16 202412
17 202111
18 201911
19 202311
20 202210

About Chen Dai

Chen Dai is a scholar working on Geriatrics and Gerontology, Physiology, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 593 indexed citations. Recurring topics across this work include Frailty in Older Adults (9 papers), Nutrition and Health in Aging (6 papers), Epilepsy research and treatment (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Spinal Dysraphism and Malformations (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Cancer Treatment and Pharmacology (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Geriatrics and Gerontology (93 citations), Psychiatry and Mental health (78 citations), Physiology (98 citations), Cardiology and Cardiovascular Medicine (75 citations) and Family Practice (6 citations). Chen Dai has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Smita Bhatia, Grant R. Williams, Mustafa Al‐Obaidi, Smith Giri, Olumide B. Gbolahan, Joshua Richman, Edward Faught, Jerzy P. Szaflarski, Roy C. Martin and Maria Pisu. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Epilepsia, Cancer Epidemiology Biomarkers & Prevention and JCO Oncology Practice.

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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