Shuhui Liu
- Molecular Biology top 10%
- Immunology top 10%
- Cell Biology top 5%
- Endocrinology top 2%
- Artificial Intelligence top 10%
- Co-authors
- Frances M. BrodskyHin‐chung WongMichael S. MarksXuequn ShangAndrew WildeLawrence LemEric C. BeattiePhilippe Soriano
- Topics
- Aquaculture disease management and microbiota (8 papers)Vibrio bacteria research studies (7 papers)Cancer-related molecular mechanisms research (7 papers)
- Cited by
- EndocrinologyCell BiologyImmunology
- Journals
- NatureCellNucleic Acids Research
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Shuhui Liu
94 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 162
- Molecular Biology 976
- Immunology 366
- Cell Biology 336
- Endocrinology 290
- Artificial Intelligence 179
Countries citing papers authored by Shuhui Liu
This map shows the geographic impact of Shuhui 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 Shuhui Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhui Liu more than expected).
Fields of papers citing papers by Shuhui Liu
This network shows the impact of papers produced by Shuhui 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 Shuhui Liu. The network helps show where Shuhui Liu may publish in the future.
Co-authorship network of co-authors of Shuhui Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhui Liu. A scholar is included among the top collaborators of Shuhui 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 Shuhui Liu. Shuhui 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 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 24 | |
| 12 | Cloning and Prokaryotic Expression of α-Gliadin Gene from Psathyrostachys huashanica | 2 |
| 13 | Successful Youth Transitions. Longitudinal Surveys of Australian Youth. Briefing Paper 25. | 3 |
| 14 | Which Paths Work for Which Young People? Longitudinal Surveys of Australian Youth. Research Report 57. | 4 |
| 15 | Analysis of drought resistance of Triticum aestivum-Psathyrostachys derivatives at the germination and seedling stages. | 2 |
| 16 | Cloning and sequence analysis of the HMW-GS gene and its promoter from Dasypyrum villosum. | 2 |
| 17 | Molecular and cytological identification of wheat-rye deritives with big ear. | 2 |
| 18 | Polymorphisms of O~6-Methylguan-ine-DNA Methyl-transferase Gene in Chinese Chaoshan Esophageal Cancer Patients | 1 |
| 19 | 8 | |
| 20 | 299 |
About Shuhui Liu
Shuhui Liu is a scholar working on Endocrinology, Structural Biology and Molecular Biology, having authored 104 papers that have together received 2.2k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (8 papers), Vibrio bacteria research studies (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Endocrinology (290 citations), Cell Biology (336 citations) and Immunology (366 citations). Shuhui Liu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Frances M. Brodsky, Hin‐chung Wong, Michael S. Marks, Xuequn Shang, Andrew Wilde, Lawrence Lem, Eric C. Beattie, Philippe Soriano, William C. Mobley and Yupei Zhang. Their work appears in journals such as Nature, Cell 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.