De-Leung Gu

644 citations
10 papers · 501 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Retinoids in leukemia and cellular processes

Papers in

De-Leung Gu

10 papers receiving 494 citations

Peers

De-Leung Gu
Comparison fields: 5 of 72
  • Cancer Research 139
  • Molecular Biology 376
  • Oncology 122
  • Cell Biology 35
  • Immunology 41
Replace Nayantara Kothari with:
Nayantara Kothari United States
Osama E. Demerdash United States
Naofumi Takamatsu Japan
Nicolas Paquet Australia
Shruti Lal United States
Timothée Revil Canada
Thomas Oehler Germany
Jennifer L. Schutzman United States
Anne Flourens France
Martin Košař Czechia
De-Leung Gu relative to Nayantara Kothari United States Nayantara Kothari's profile →
Citations per field
00.5×5.6×
Nayantara Kothari · 1×
Citations per year

Countries citing papers authored by De-Leung Gu

Since Specialization
Citations

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

Fields of papers citing papers by De-Leung Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De-Leung Gu. 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 De-Leung Gu. The network helps show where De-Leung Gu may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011149
2 2018142
3 201060
4 200857
5 201342
6 200815
7 202014
8 201011
9 200910
10 20251

About De-Leung Gu

De-Leung Gu is a scholar working on Molecular Biology, Cancer Research, Ecology, Evolution, Behavior and Systematics, Ecology and Pathology and Forensic Medicine, having authored 10 papers that have together received 501 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Avian ecology and behavior (2 papers), Animal Behavior and Reproduction (2 papers), Genomic variations and chromosomal abnormalities (1 paper), Insect and Pesticide Research (1 paper), Cell Image Analysis Techniques (1 paper), TGF-β signaling in diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Cancer Research (139 citations), Molecular Biology (376 citations), Oncology (122 citations), Cell Biology (35 citations) and Immunology (41 citations). De-Leung Gu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yuh‐Shan Jou, Chian‐Feng Chen, Ruey‐Hwa Chen, En‐Chi Hsu, Yaw‐Dong Lang, Kuen‐Tyng Lin, Pang‐Hsien Tu, Hsin‐Yi Chen, Chiung-Tong Chen and Yu-Ru Lee. Their work appears in journals such as Theriogenology, Hepatology, Nature Cell Biology, Cells and Molecular Nutrition & Food Research.

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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