Yi‐Ling Qiu
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
-
- Drug Transport and Resistance Mechanisms
Papers in
-
- Metabolism and Genetic Disorders 7
- Oncology 12
- Drug Transport and Resistance Mechanisms 11
- Co-authors
- Jian‐She Wang (21 shared papers)Yi Lu (12 shared papers)Jing‐Yu Gong (8 shared papers)Meihong Zhang (8 shared papers)Jiaqi Li (6 shared papers)Alex S. Knisely (6 shared papers)Liting Li (6 shared papers)Xin‐Bao Xie (8 shared papers)
- Journals
- Hepatology (4 papers)Liver International (3 papers)Hepatology Research (2 papers)Journal of Medical Genetics (2 papers)Human Mutation (2 papers)
- Partner nations
- ChinaAustriaNetherlands
In The Last Decade
Yi‐Ling Qiu
28 papers receiving 490 citations
Peers
Comparison fields: 5 of 44
- Clinical Biochemistry 62
- Oncology 161
- Surgery 273
- Hepatology 42
- Genetics 134
Countries citing papers authored by Yi‐Ling Qiu
This map shows the geographic impact of Yi‐Ling Qiu'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 Yi‐Ling Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Ling Qiu more than expected).
Fields of papers citing papers by Yi‐Ling Qiu
This network shows the impact of papers produced by Yi‐Ling Qiu. 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 Yi‐Ling Qiu. The network helps show where Yi‐Ling Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Ling Qiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 120 | |
| 2 | 2019 | 45 | |
| 3 | 2016 | 40 | |
| 4 | 2017 | 30 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2015 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2021 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2018 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2022 | 3 |
About Yi‐Ling Qiu
Yi‐Ling Qiu is a scholar working on Clinical Biochemistry, Oncology, Surgery, Genetics and Hepatology, having authored 29 papers that have together received 497 indexed citations. Recurring topics across this work include Pediatric Hepatobiliary Diseases and Treatments (17 papers), Drug Transport and Resistance Mechanisms (11 papers), Metabolism and Genetic Disorders (7 papers), Genomics and Rare Diseases (5 papers), Genetic and Kidney Cyst Diseases (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Trace Elements in Health (1 paper) and Nausea and vomiting management (1 paper). The work is most often cited by research in Clinical Biochemistry (62 citations), Oncology (161 citations), Surgery (273 citations), Hepatology (42 citations) and Genetics (134 citations). Yi‐Ling Qiu has collaborated with scholars based in China, Austria and Netherlands. Frequent co-authors include Jian‐She Wang, Yi Lu, Jing‐Yu Gong, Meihong Zhang, Jiaqi Li, Alex S. Knisely, Liting Li, Xin‐Bao Xie, Yanyan Yan and Teng Liu. Their work appears in journals such as Hepatology, Liver International, Hepatology Research, Journal of Medical Genetics and Human Mutation.
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.