Like Qu

2.6k citations
75 papers · 2.1k · h-index 27

Impact in

  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis
    • MicroRNA in disease regulation

Papers in

Like Qu

75 papers receiving 2.1k citations

Peers

Like Qu
Comparison fields: 5 of 85
  • Oncology 443
  • Cancer Research 259
  • Cell Biology 198
  • Molecular Biology 857
  • Microbiology 80
Replace Takeshi Iwamura with:
Takeshi Iwamura Japan
Gangwen Han United States
Ralph A. Francescone III United States
John T. Price Australia
Lizhong Wang United States
Geoffrey A. Bartholomeusz United States
Yang Jin Norway
Chahrazade Kantari‐Mimoun France
Kurt Degenhardt United States
Chuay-Yeng Koo United Kingdom
Like Qu relative to Takeshi Iwamura Japan Takeshi Iwamura's profile →
Citations per field
00.5×2×4×5.6×
Takeshi Iwamura · 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-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.

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

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006201
2 2016106
3 200797
4 200591
5 200980
6 200476
7 201065
8 201559
9 201557
10 201152
11 201242
12 201442
13 201442
14 200737
15 201237
16 201437
17 201236
18 201836
19 201035
20 201434

About Like Qu

Like Qu is a scholar working on Oncology, Cancer Research, Molecular Biology, Cell Biology and Microbiology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (12 papers), Cancer-related Molecular Pathways (8 papers), Gastric Cancer Management and Outcomes (6 papers), Breast Cancer Treatment Studies (6 papers), Protein Tyrosine Phosphatases (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Microbial infections and disease research (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Oncology (443 citations), Cancer Research (259 citations), Cell Biology (198 citations), Molecular Biology (857 citations) and Microbiology (80 citations). Like Qu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chengchao Shou, Antonis E. Koromilas, Lin Meng, Dionissios Baltzis, Yong Kwon Han, Jian Lin Wu, Xiaolu Yang, Jun Tang, Olivier Pluquet and Lin Meng. Their work appears in journals such as PLoS ONE, Tumor Biology, Biochemical and Biophysical Research Communications, Cell Cycle and BMC Cancer.

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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