M.-S. Dai

500 citations
6 papers · 389 · 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
    • Mycobacterium research and diagnosis 1

M.-S. Dai

6 papers receiving 382 citations

Peers

M.-S. Dai
Comparison fields: 5 of 42
  • Hepatology 177
  • Epidemiology 266
  • Genetics 27
  • Pathology and Forensic Medicine 38
  • Toxicology 7
Replace Christopher Doerig with:
Christopher Doerig Switzerland
Kyoya Kumagai Japan
Monika Hurtova France
S. Paganin Italy
Jérémy Sandrini France
Douglas Thorburn United Kingdom
J Barge France
Roman Perri United States
Kevin Sze-Hang Liu Hong Kong
T Orii Japan
M.-S. Dai relative to Christopher Doerig Switzerland Christopher Doerig's profile →
Citations per field
00.5×1.5×
Christopher Doerig · 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 19 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

6 of 6 papers shown
#Work
1 2010267
2 200480
3 200016
4 200312
5 200311
6 20203

About M.-S. Dai

M.-S. Dai is a scholar working on Epidemiology, Surgery, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 389 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Lung Cancer Treatments and Mutations (1 paper), Mycobacterium research and diagnosis (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Hepatology (177 citations), Epidemiology (266 citations), Genetics (27 citations), Pathology and Forensic Medicine (38 citations) and Toxicology (7 citations). M.-S. Dai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tsu‐Yi Chao, Steven M. Belknap, Borko Jovanovic, Suxia Lin, Yu‐Chieh Su, Daniel Ganger, Dennis W. Raisch, Andrew M. Evens, Yijun Cheng and Ching‐Yuan Kuo. Their work appears in journals such as Annals of Hematology, Liver International, 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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