Qui-Lim Choo
- Hepatology top 0.2%
- Epidemiology top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Rheumatology top 5%
- Molecular Biology
- Co-authors
- Michael HoughtonGeorge KuoJ W ShihJacqueline C. MelpolderHarvey J. AlterAmy J. WeinerFerruccio BoninoJang H. Han
- Topics
- Hepatitis C virus research (12 papers)Hepatitis B Virus Studies (10 papers)Liver Disease Diagnosis and Treatment (5 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesJapanItaly
In The Last Decade
Qui-Lim Choo
12 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Hepatology 2.9k
- Epidemiology 2.4k
- Radiology, Nuclear Medicine and Imaging 557
- Rheumatology 278
- Molecular Biology 248
Countries citing papers authored by Qui-Lim Choo
This map shows the geographic impact of Qui-Lim Choo'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 Qui-Lim Choo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qui-Lim Choo more than expected).
Fields of papers citing papers by Qui-Lim Choo
This network shows the impact of papers produced by Qui-Lim Choo. 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 Qui-Lim Choo. The network helps show where Qui-Lim Choo may publish in the future.
Co-authorship network of co-authors of Qui-Lim Choo
This figure shows the co-authorship network connecting the top 25 collaborators of Qui-Lim Choo. A scholar is included among the top collaborators of Qui-Lim Choo 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 Qui-Lim Choo. Qui-Lim Choo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | T-lymphocyte response to hepatitis C virus in different clinical courses of infectionbreakdown → | 281 |
| 3 | 180 | |
| 4 | 66 | |
| 5 | 131 | |
| 6 | Variable and hypervariable domains are found in the regions of HCV corresponding to the flavivirus envelope and NS1 proteins and the pestivirus envelope glycoproteinsbreakdown → | 518 |
| 7 | 109 | |
| 8 | 68 | |
| 9 | 159 | |
| 10 | 66 | |
| 11 | Detection of Antibody to Hepatitis C Virus in Prospectively Followed Transfusion Recipients with Acute and Chronic Non-A, Non-B Hepatitisbreakdown → | 1376 |
| 12 | 134 |
About Qui-Lim Choo
Qui-Lim Choo is a scholar working on Hepatology, Epidemiology and Agronomy and Crop Science, having authored 12 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Hepatitis B Virus Studies (10 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (2.9k citations), Epidemiology (2.4k citations) and Virology (155 citations). Qui-Lim Choo has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Michael Houghton, George Kuo, J W Shih, Jacqueline C. Melpolder, Harvey J. Alter, George Kuo, Amy J. Weiner, Ferruccio Bonino, Jang H. Han and Giorgio Maria Saracco. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.