CY Dai

541 citations
8 papers · 417 · h-index 7

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Diseases and Immunity
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 6
    • Hepatitis B Virus Studies 5
    • Liver Disease Diagnosis and Treatment 5

CY Dai

8 papers receiving 408 citations

Peers

CY Dai
Comparison fields: 5 of 32
  • Hepatology 369
  • Epidemiology 323
  • Rheumatology 73
  • Endocrinology, Diabetes and Metabolism 34
  • Genetics 18
Replace I. Cascavilla with:
I. Cascavilla Italy
G. Diodati Italy
M. Pouteau France
C. Casarin Italy
Giovanni Antonio Touscoz Italy
J. Hegarty United Kingdom
Ming‐Yen Hsieh Taiwan
Pierre Opolon France
Toshiro Kondo Japan
Pauline Nguyen United States
CY Dai relative to I. Cascavilla Italy I. Cascavilla's profile →
Citations per field
00.5×3.3×
I. Cascavilla · 1×
Citations per year

Countries citing papers authored by CY Dai

Since Specialization
Citations

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

Fields of papers citing papers by CY Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside CY 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 CY Dai Line = papers co-authored together CY Dai links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006215
2 200074
3 200741
4 200632
5 200625
6 200420
7 20026
8
The epidemiology of TT virus (TTV) infection in a hepatitis C and B virus hyperendemic area of southern Taiwan.
20004

About CY Dai

CY Dai is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Surgery and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 417 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Thyroid Disorders and Treatments (1 paper), Animal Disease Management and Epidemiology (1 paper), Animal Virus Infections Studies (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Hepatology (369 citations), Epidemiology (323 citations), Rheumatology (73 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Genetics (18 citations). CY Dai has collaborated with scholars based in Taiwan. Frequent co-authors include Ming‐Lung Yu, Wan‐Long Chuang, Jee‐Fu Huang, Meng‐Hsuan Hsieh, Lin Zhong, Wen‐Yu Chang, C.-F. Chiu, Szu‐Chia Chen, MY Hsieh and Chang Wy. Their work appears in journals such as Journal of Clinical Pathology, Journal of Viral Hepatitis, European Journal of Endocrinology, Gut and Abdominal Imaging.

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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