Ming–Yang Lai

8.8k total citations · 2 hit papers
131 papers, 7.2k citations indexed

About

Ming–Yang Lai is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ming–Yang Lai has authored 131 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Hepatology, 92 papers in Epidemiology and 15 papers in Surgery. Recurrent topics in Ming–Yang Lai's work include Hepatitis C virus research (89 papers), Hepatitis B Virus Studies (81 papers) and Liver Disease Diagnosis and Treatment (70 papers). Ming–Yang Lai is often cited by papers focused on Hepatitis C virus research (89 papers), Hepatitis B Virus Studies (81 papers) and Liver Disease Diagnosis and Treatment (70 papers). Ming–Yang Lai collaborates with scholars based in Taiwan, United States and Czechia. Ming–Yang Lai's co-authors include Ding‐Shinn Chen, Pei‐Jer Chen, Jia‐Horng Kao, Chun‐Jen Liu, Pei–Ming Yang, M. Diago, Stefan Zeuzem, Jin‐Chuan Sheu, Michael J. Brunda and Amy Lin and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ming–Yang Lai

130 papers receiving 7.0k citations

Hit Papers

Peginterferon Alfa-2a in Patients with Chronic Hepatitis C 2000 2026 2008 2017 2000 2000 250 500 750

Peers

Ming–Yang Lai
Comparison fields: 5 of 112
  • Hepatology 6.0k
  • Epidemiology 5.8k
  • Infectious Diseases 599
  • Molecular Biology 539
  • Surgery 420
Replace Geert Maertens with:
Geert Maertens Belgium
Christian Trépo France
G Verme Italy
Patrizia Pontisso Italy
Valérie Thiers France
Chia‐Ming Chu Taiwan
Michio Imamura Japan
Yasuhiro Asahina Japan
Maria Grazia Rumi Italy
Teresa Pollicino Italy
Geert Maertens Belgium View profile →
Citations per field, relative to Ming–Yang Lai
Ming–Yang Lai · 1×
Citations per year, relative to Ming–Yang Lai
Ming–Yang Lai · 1×

Countries citing papers authored by Ming–Yang Lai

Since Specialization
Citations

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

Fields of papers citing papers by Ming–Yang Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Yang Lai. 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 Ming–Yang Lai. The network helps show where Ming–Yang Lai may publish in the future.

Co-authorship network of co-authors of Ming–Yang Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Ming–Yang Lai. A scholar is included among the top collaborators of Ming–Yang Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming–Yang Lai. Ming–Yang Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 152
2 30
3 81
4 15
5 60
6 17
7 35
8 36
9 40
10
Hepatitis B genotypes correlate with clinical outcomes in patients with chronic hepatitis B breakdown →
784
11 13
12 79
13 45
14 2
15 86
16 23
17 1
18 7
19 39
20 103

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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