Shujun Liu
- Molecular Biology top 2%
- Cancer Research top 1%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Oncology top 10%
- Co-authors
- Maiken NedergaardGuido MarcucciJane H.-C. LinMaria Luisa CotrinaKenneth K. ChanZhongfa LiuJian KangRamiro Garzon
- Topics
- RNA Interference and Gene Delivery (13 papers)Epigenetics and DNA Methylation (13 papers)Advanced biosensing and bioanalysis techniques (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesChinaGermany
In The Last Decade
Shujun Liu
75 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 3.7k
- Cancer Research 1.1k
- Cellular and Molecular Neuroscience 660
- Physiology 530
- Oncology 277
Countries citing papers authored by Shujun Liu
This map shows the geographic impact of Shujun 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 Shujun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujun Liu more than expected).
Fields of papers citing papers by Shujun Liu
This network shows the impact of papers produced by Shujun 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 Shujun Liu. The network helps show where Shujun Liu may publish in the future.
Co-authorship network of co-authors of Shujun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Liu. A scholar is included among the top collaborators of Shujun 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 Shujun Liu. Shujun 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 | 4 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 49 | |
| 14 | 0 | |
| 15 | Optimization of callus induction and plant regeneration from germinating seeds of sweet sorghum (Sorghum bicolor Moench) | 16 |
| 16 | Human natural killer cell IFN-gamma production: Inhibition by TGF-beta involves SMAD-mediated downregulation of T-BET expression | 1 |
| 17 | 59 | |
| 18 | 27 | |
| 19 | Screeing of the high lipid production strains and studies on its flask culture conditions | 1 |
| 20 | 49 |
About Shujun Liu
Shujun Liu is a scholar working on Molecular Biology, Cancer Research and Hematology, having authored 79 papers that have together received 5.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Epigenetics and DNA Methylation (13 papers) and Advanced biosensing and bioanalysis techniques (11 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.7k citations) and Physiology (212 citations). Shujun Liu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Maiken Nedergaard, Guido Marcucci, Jane H.-C. Lin, Maria Luisa Cotrina, Kenneth K. Chan, Zhongfa Liu, Jian Kang, Ramiro Garzon, Carlo M. Croce and Steven A. Goldman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.