Like Qu

2.6k citations
78 papers · 2.1k indexed · h-index 28
  • Oncology top 5%
    • Cancer-related Molecular Pathways 8
    • Peptidase Inhibition and Analysis 6
    • Protein Tyrosine Phosphatases 13
    • Glycosylation and Glycoproteins Research 10
    • Ubiquitin and proteasome pathways 6
    • Microbial infections and disease research 5
    • Microtubule and mitosis dynamics 5
    • Galectins and Cancer Biology 9

Like Qu

78 papers receiving 2.1k citations

Peers

Like Qu
Comparison fields: 5 of 102
  • Cancer Research 405
  • Oncology 609
  • Molecular Biology 1.4k
  • Microbiology 108
  • Cell Biology 265
Replace Pantelis Hatzis with:
Pantelis Hatzis Greece
Chengchao Shou China
Luigi Bagella United States
Christopher Korch United States
Sunghyun Kang South Korea
Subbareddy Maddika India
Shu‐ichi Matsuzawa United States
Qiaoming Zhi China
Takeo Narita Japan
Karen Crasta Singapore
Like Qu relative to Pantelis Hatzis Greece Pantelis Hatzis's profile →
Citations per field
00.5×1.7×
Pantelis Hatzis · 1×
Citations per year

Countries citing papers authored by Like Qu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Like Qu Line = papers co-authored together Like Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20232
3 20227
4 2016101
5 201514
6 201557
7 201554
8 20157
9 20158
10 201533
11 201439
12 201428
13 201318
14 201235
15 201221
16 201033
17 200933
18 200618
19 2006197
20 200317

About Like Qu

Like Qu is a scholar working on Oncology, Molecular Biology and Microbiology, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (13 papers), Glycosylation and Glycoproteins Research (10 papers), Galectins and Cancer Biology (9 papers), Cancer-related Molecular Pathways (8 papers), Peptidase Inhibition and Analysis (6 papers), Ubiquitin and proteasome pathways (6 papers), Microtubule and mitosis dynamics (5 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (609 citations) and Molecular Biology (1.4k citations). Like Qu has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Chengchao Shou, Antonis E. Koromilas, Dionissios Baltzis, Lin Meng, Yong Han, Xiaolu Yang, Jian Wu, Jun Tang, Olivier Pluquet and Lin Meng. Their work appears in journals such as PLoS ONE, Tumor Biology, Cell Cycle, Biochemical and Biophysical Research Communications and Carcinogenesis.

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.

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