Chuize Kong

692 citations
25 papers · 552 · h-index 14

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Retinoids in leukemia and cellular processes 2
    • Natural product bioactivities and synthesis 2
    • TGF-β signaling in diseases 2
    • RNA modifications and cancer 2
    • Cancer, Lipids, and Metabolism 2

Chuize Kong

25 papers receiving 545 citations

Peers

Chuize Kong
Comparison fields: 5 of 73
  • Nephrology 64
  • Geriatrics and Gerontology 24
  • Cancer Research 72
  • Molecular Biology 292
  • Biochemistry 19
Replace Zhen Ni with:
Zhen Ni China
Zijing Xia China
Miyako Okamoto United States
Cunzao Wu China
Zuyi Yuan China
Juan Jin China
Xiaoju Li China
Qi Bian China
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Chuize Kong

Since Specialization
Citations

This map shows the geographic impact of Chuize Kong'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 Chuize Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuize Kong more than expected).

Fields of papers citing papers by Chuize Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuize Kong. 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 Chuize Kong. The network helps show where Chuize Kong may publish in the future.

Co-authors

The 25 scholars most cited alongside Chuize Kong, 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 Chuize Kong Line = papers co-authored together Chuize Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005118
2 201064
3 201051
4 201147
5 202328
6 201326
7 201921
8 201821
9 201121
10 202220
11 201318
12 201318
13 202118
14 201217
15 200112
16 202011
17 198410
18 20228
19 20176
20
Aberrant FHIT expression is linked to bladder carcinogenesis and apoptosis.
20115

About Chuize Kong

Chuize Kong is a scholar working on Molecular Biology, Cancer Research, Biochemistry, Oncology and Cell Biology, having authored 25 papers that have together received 552 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer, Lipids, and Metabolism (2 papers), Natural product bioactivities and synthesis (2 papers), TGF-β signaling in diseases (2 papers), RNA modifications and cancer (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Nephrology (64 citations), Geriatrics and Gerontology (24 citations), Cancer Research (72 citations), Molecular Biology (292 citations) and Biochemistry (19 citations). Chuize Kong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Glenda C. Gobé, David W. Johnson, Dianne Watters, Tao Yang, Betty Pat, Zhe Zhang, Guojun Zhang, Zhenhua Li, Zhe Zhang and Chiyuan Piao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics, International Journal of Urology, Cancer Biomarkers and Molecular 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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