Yao‐Chang Liu
- Epidemiology top 0.1%
- Hepatology top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 2%
- Molecular Biology top 5%
- Co-authors
- Arthur J. McCulloughMelissa J. ContosMichael TorbensonCynthia BehlingMatthew M. YehOscar W. CummingsAynur Ünalp–AridaArun J. Sanyal
- Topics
- Liver Disease Diagnosis and Treatment (3 papers)Chronic Lymphocytic Leukemia Research (2 papers)Lymphoma Diagnosis and Treatment (2 papers)
- Partner nations
- United StatesTaiwan
In The Last Decade
Yao‐Chang Liu
8 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Epidemiology 7.8k
- Hepatology 3.4k
- Endocrinology, Diabetes and Metabolism 2.8k
- Surgery 1.5k
- Molecular Biology 1.5k
Countries citing papers authored by Yao‐Chang Liu
This map shows the geographic impact of Yao‐Chang Liu'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 Yao‐Chang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao‐Chang Liu more than expected).
Fields of papers citing papers by Yao‐Chang Liu
This network shows the impact of papers produced by Yao‐Chang Liu. 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 Yao‐Chang Liu. The network helps show where Yao‐Chang Liu may publish in the future.
Co-authorship network of co-authors of Yao‐Chang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Chang Liu. A scholar is included among the top collaborators of Yao‐Chang Liu 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 Yao‐Chang Liu. Yao‐Chang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Cytokeratin-18 Fragment Levels as Noninvasive Biomarkers for Nonalcoholic Steatohepatitisbreakdown → | 520 |
| 4 | 50 | |
| 5 | Design and validation of a histological scoring system for nonalcoholic fatty liver disease†breakdown → | 8351 |
| 6 | 48 | |
| 7 | 2 | |
| 8 | Discordant immunophenotype of chronic B-cell lymphoproliferative disorders in simultaneous specimens from bone marrow and peripheral sites. | 14 |
| 9 | 95 |
About Yao‐Chang Liu
Yao‐Chang Liu is a scholar working on Hepatology, Genetics and Pathology and Forensic Medicine, having authored 9 papers that have together received 9.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (3.4k citations), Epidemiology (7.8k citations) and Endocrinology, Diabetes and Metabolism (2.8k citations). Yao‐Chang Liu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Arthur J. McCullough, Melissa J. Contos, Michael Torbenson, Cynthia Behling, Matthew M. Yeh, Oscar W. Cummings, Aynur Ünalp–Arida, Arun J. Sanyal, Mark L. Van Natta and Elizabeth M. Brunt. Their work appears in journals such as Hepatology, Journal of the American Academy of Dermatology and Clinica Chimica Acta.
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.