Shu Liu
- Molecular Biology top 10%
- Aging top 0.2%
- Endocrine and Autonomic Systems top 2%
- Cancer Research top 10%
- Physiology top 10%
- Co-authors
- T. Keith BlackwellJoseph BakerJennifer M. A. TulletRalf BaumeisterMaren HertweckRiva de Paula OliveiraJae Hyung AnAnirban Maitra
- Topics
- Pancreatic and Hepatic Oncology Research (3 papers)RNA and protein synthesis mechanisms (3 papers)RNA modifications and cancer (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shu Liu
53 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 847
- Aging 602
- Endocrine and Autonomic Systems 316
- Cancer Research 273
- Physiology 264
Countries citing papers authored by Shu Liu
This map shows the geographic impact of Shu 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 Shu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Liu more than expected).
Fields of papers citing papers by Shu Liu
This network shows the impact of papers produced by Shu 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 Shu Liu. The network helps show where Shu Liu may publish in the future.
Co-authorship network of co-authors of Shu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Liu. A scholar is included among the top collaborators of Shu 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 Shu Liu. Shu 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 | 9 | |
| 3 | 30 | |
| 4 | 20 | |
| 5 | 7 | |
| 6 | 23 | |
| 7 | 29 | |
| 8 | 48 | |
| 9 | 14 | |
| 10 | 22 | |
| 11 | INFLUENCE OF ZHUQIN FORMULA EXTRACT ON THE CELLULAR AND HUMORAL IMMUNE RESPONSE IN CYCLOPHOSPHAMIDE-IMMUNOCOMPROMISED MICE | 2 |
| 12 | 31 | |
| 13 | 13 | |
| 14 | 132 | |
| 15 | COMPLETE SEQUENCE AND GENE ORGANIZATION OF MITOCHONDRIAL DNA OF THE SMALL YELLOW CROAKER LARIMICHTHYS POLYACTIS | 2 |
| 16 | 255 | |
| 17 | Effect of HMGB1 and expression of TLR-4 in renal injury of SLE | 1 |
| 18 | Tissue Culture and Its Application in Marine Macroalgae | 1 |
| 19 | The Research on the Effect of Tai Chi Exercise on T Lymphocyte Subgroup and NK Cells | 2 |
| 20 | CARBON MEMBRANE FOR GAS SEPARATION | 3 |
About Shu Liu
Shu Liu is a scholar working on Aging, Endocrine and Autonomic Systems and Rehabilitation, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Aging (602 citations), Endocrine and Autonomic Systems (316 citations) and Pharmaceutical Science (150 citations). Shu Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include T. Keith Blackwell, Joseph Baker, Jennifer M. A. Tullet, Ralf Baumeister, Maren Hertweck, Riva de Paula Oliveira, Jae Hyung An, Anirban Maitra, Steven D. Leach and Georg Feldmann. Their work appears in journals such as Cell, Physical Review Letters and Genes & Development.
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.