Ming‐Lung Yu

22.3k citations
490 papers · 10.8k indexed · 1 hit paper · h-index 53

Ming‐Lung Yu

471 papers receiving 10.6k citations

Hit Papers

Utility of combining PIVKA-II and AFP in the surveillance...792023202620242025255075

Peers

Ming‐Lung Yu
Comparison fields: 5 of 152
  • Hepatology 7.4k
  • Epidemiology 7.7k
  • Endocrinology, Diabetes and Metabolism 810
  • Rheumatology 614
  • Infectious Diseases 707
Replace Wan‐Long Chuang with:
Wan‐Long Chuang Taiwan
Keyur Patel United States
Chia‐Yen Dai Taiwan
Ramsey Cheung United States
Robert J. de Knegt Netherlands
Calogero Cammà Italy
Graeme Alexander United Kingdom
Robert G. Gish United States
San‐Lin You Taiwan
Yoichi Hiasa Japan
Ming‐Lung Yu relative to Wan‐Long Chuang Taiwan Wan‐Long Chuang's profile →
Citations per field
00.5×1.5×
Wan‐Long Chuang · 1×
Citations per year

Countries citing papers authored by Ming‐Lung Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Lung Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Lung Yu. 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‐Lung Yu. The network helps show where Ming‐Lung Yu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20243
4 20245
5 202314
6 20238
7 202310
8 20226
9 20211
10 20211
11 20214
12 20207
13 202022
14 20188
15 201626
16 201521
17 201416
18 201354
19 200722
20 200619

About Ming‐Lung Yu

Ming‐Lung Yu is a scholar working on Hepatology, Epidemiology, Endocrinology, Diabetes and Metabolism, Rheumatology and Infectious Diseases, having authored 490 papers that have together received 10.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (307 papers), Hepatitis C virus research (303 papers), Hepatitis B Virus Studies (233 papers), Liver Disease and Transplantation (35 papers), Hepatocellular Carcinoma Treatment and Prognosis (30 papers), Systemic Lupus Erythematosus Research (20 papers), Liver Diseases and Immunity (17 papers) and Diet, Metabolism, and Disease (17 papers). The work is most often cited by research in Hepatology (7.4k citations), Epidemiology (7.7k citations), Endocrinology, Diabetes and Metabolism (810 citations), Rheumatology (614 citations) and Infectious Diseases (707 citations). Ming‐Lung Yu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wan‐Long Chuang, Chia‐Yen Dai, Jee‐Fu Huang, Zu‐Yau Lin, Chung‐Feng Huang, Liang‐Yen Wang, Shinn‐Cherng Chen, Ming‐Lun Yeh, Ming‐Yen Hsieh and Ming‐Yuh Hsieh. Their work appears in journals such as Journal of Gastroenterology and Hepatology, PLoS ONE, Hepatology International, Journal of Hepatology and Liver International.

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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