Like Qu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Tyrosine Phosphatases 12
- Glycosylation and Glycoproteins Research 7
- Ubiquitin and proteasome pathways 6
- Oncology 22
- Cancer-related Molecular Pathways 8
- Peptidase Inhibition and Analysis 5
- Co-authors
- Chengchao Shou (62 shared papers)Antonis E. Koromilas (7 shared papers)Lin Meng (17 shared papers)Dionissios Baltzis (4 shared papers)Yong Han (12 shared papers)Xiaolu Yang (5 shared papers)Jian Wu (10 shared papers)Jun Tang (4 shared papers)
- Journals
- PLoS ONE (8 papers)Cell Cycle (3 papers)Biochemical and Biophysical Research Communications (3 papers)Tumor Biology (3 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Like Qu
78 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 342
- Oncology 516
- Molecular Biology 1.3k
- Microbiology 107
- Cell Biology 255
Countries citing papers authored by Like Qu
This map shows the geographic impact of Like Qu'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 Like Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Like Qu more than expected).
Fields of papers citing papers by Like Qu
This network shows the impact of papers produced by Like Qu. 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 Like Qu. The network helps show where Like Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Like Qu, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 197 | |
| 2 | 2016 | 102 | |
| 3 | 2007 | 96 | |
| 4 | 2005 | 86 | |
| 5 | 2009 | 78 | |
| 6 | 2004 | 71 | |
| 7 | 2010 | 61 | |
| 8 | 2015 | 58 | |
| 9 | 2015 | 54 | |
| 10 | 2011 | 50 | |
| 11 | 2012 | 42 | |
| 12 | 2014 | 41 | |
| 13 | 2014 | 40 | |
| 14 | 2007 | 36 | |
| 15 | 2014 | 36 | |
| 16 | 2001 | 35 | |
| 17 | A VEGFR1 antagonistic peptide inhibits tumor growth and metastasis through VEGFR1-PI3K-AKT signaling pathway inhibition. | 2015 | 35 |
| 18 | 2012 | 35 | |
| 19 | 2018 | 35 | |
| 20 | 2010 | 33 |
About Like Qu
Like Qu is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Cancer Research, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (12 papers), Cancer-related Molecular Pathways (8 papers), Glycosylation and Glycoproteins Research (7 papers), Ubiquitin and proteasome pathways (6 papers), Galectins and Cancer Biology (5 papers), Peptidase Inhibition and Analysis (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Cancer Research (342 citations), Oncology (516 citations), Molecular Biology (1.3k citations), Microbiology (107 citations) and Cell Biology (255 citations). Like Qu has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Chengchao Shou, Antonis E. Koromilas, Lin Meng, Dionissios Baltzis, Yong Han, Xiaolu Yang, Jian Wu, Jun Tang, Olivier Pluquet and Lin Meng. Their work appears in journals such as PLoS ONE, Cell Cycle, Biochemical and Biophysical Research Communications, Tumor Biology and Cancer Letters.
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.