M.-S. Dai

496 citations
7 papers · 373 indexed · h-index 5

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 2
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • HIV/AIDS drug development and treatment 2

M.-S. Dai

7 papers receiving 371 citations

Peers

M.-S. Dai
Comparison fields: 5 of 49
  • Hepatology 249
  • Epidemiology 266
  • Genetics 29
  • Toxicology 8
  • Oncology 62
Replace Ming–Shen Dai with:
Ming–Shen Dai Taiwan
A. M. Brind United Kingdom
Li‐Ying Liao Taiwan
Yuk-Fai Lam Hong Kong
Kyoya Kumagai Japan
Guo Zhou China
Consuelo Comar Italy
Kevin Sze-Hang Liu Hong Kong
Grazia Careccia Italy
Giovanni Squadrito Italy
M.-S. Dai relative to Ming–Shen Dai Taiwan Ming–Shen Dai's profile →
Citations per field
00.5×1.5×2.5×
Ming–Shen Dai · 1×
Citations per year

Countries citing papers authored by M.-S. Dai

Since Specialization
Citations

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

Fields of papers citing papers by M.-S. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M.-S. 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 M.-S. Dai Line = papers co-authored together M.-S. Dai links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010256
2 200479
3 200014
4 200311
5 20039
6 20203
7 20251

About M.-S. Dai

M.-S. Dai is a scholar working on Epidemiology, Infectious Diseases, Surgery, Hepatology and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 373 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), HIV/AIDS drug development and treatment (2 papers), Head and Neck Anomalies (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Hepatology (249 citations), Epidemiology (266 citations), Genetics (29 citations), Toxicology (8 citations) and Oncology (62 citations). M.-S. Dai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tsu‐Yi Chao, Andrew M. Evens, Steven M. Belknap, Ching‐Yuan Kuo, Yu‐Chieh Su, Borko Jovanovic, Shih‐Sung Chuang, Suxia Lin, Yijun Cheng and Daniel Ganger. Their work appears in journals such as Annals of Hematology, Liver International, Scientific Reports, Annals of Oncology and PubMed.

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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