De-Leung Gu

644 total citations
10 papers, 501 citations indexed

About

De-Leung Gu is a scholar working on Molecular Biology, Cancer Research and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, De-Leung Gu has authored 10 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in De-Leung Gu's work include Cancer, Hypoxia, and Metabolism (3 papers), Avian ecology and behavior (2 papers) and Animal Behavior and Reproduction (2 papers). De-Leung Gu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Avian ecology and behavior (2 papers) and Animal Behavior and Reproduction (2 papers). De-Leung Gu collaborates with scholars based in Taiwan, United States and China. De-Leung Gu's co-authors include Yuh‐Shan Jou, Chian‐Feng Chen, Ruey‐Hwa Chen, En‐Chi Hsu, Yaw‐Dong Lang, Pang‐Hsien Tu, Kuen‐Tyng Lin, Hsiu-Ming Shih, Chiung-Tong Chen and Shiu‐Feng Huang and has published in prestigious journals such as Nucleic Acids Research, Nature Cell Biology and Hepatology.

In The Last Decade

De-Leung Gu

10 papers receiving 494 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
De-Leung Gu Taiwan	9	376	139	122	45	43	10	501
Barish B. Poole United States	4	379 1.0×	189 1.4×	258 2.1×	48 1.1×	37 0.9×	5	687
Vignesh Sundararajan Singapore	12	351 0.9×	156 1.1×	197 1.6×	44 1.0×	32 0.7×	17	508
Aaron Leiblich United Kingdom	12	357 0.9×	152 1.1×	59 0.5×	89 2.0×	127 3.0×	20	555
Shruti Lal United States	14	508 1.4×	152 1.1×	245 2.0×	31 0.7×	27 0.6×	22	698
Osama E. Demerdash United States	11	478 1.3×	134 1.0×	296 2.4×	39 0.9×	64 1.5×	15	754
Nayantara Kothari United States	8	476 1.3×	107 0.8×	203 1.7×	48 1.1×	46 1.1×	10	648
Nicolas Paquet Australia	12	404 1.1×	51 0.4×	69 0.6×	53 1.2×	25 0.6×	24	496
Felicity C. Jackling Australia	8	271 0.7×	124 0.9×	255 2.1×	57 1.3×	42 1.0×	11	468
Aaron Jeffs New Zealand	12	323 0.9×	60 0.4×	122 1.0×	41 0.9×	26 0.6×	15	447

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-authorship network of co-authors of De-Leung Gu

This figure shows the co-authorship network connecting the top 25 collaborators of De-Leung Gu. A scholar is included among the top collaborators of De-Leung Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with De-Leung Gu. De-Leung Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Jiao, Xin, Yuxin Zhang, Zengguang Wang, et al.. (2025). Isoliquiritigenin, an Extract from Licorice, Attenuates Dexamethasone‐Induced Muscle Atrophy via Akt/mTOR Pathway. Molecular Nutrition & Food Research. 69(7). e70000–e70000. 1 indexed citations

Gu, De-Leung, et al.. (2020). PSPC1 Potentiates IGF1R Expression to Augment Cell Adhesion and Motility. Cells. 9(6). 1490–1490. 14 indexed citations

Hsu, En‐Chi, Yaw‐Dong Lang, Yuh‐Charn Lin, et al.. (2018). PSPC1 mediates TGF-β1 autocrine signalling and Smad2/3 target switching to promote EMT, stemness and metastasis. Nature Cell Biology. 20(4). 479–491. 142 indexed citations

Lin, Kuen‐Tyng, Shu‐Chuan Chen, De-Leung Gu, et al.. (2013). Overexpressed-eIF3I interacted and activated oncogenic Akt1 is a theranostic target in human hepatocellular carcinoma. Hepatology. 58(1). 239–250. 42 indexed citations

Yuan, Wei-Chien, Yu-Ru Lee, Shiu‐Feng Huang, et al.. (2011). A Cullin3-KLHL20 Ubiquitin Ligase-Dependent Pathway Targets PML to Potentiate HIF-1 Signaling and Prostate Cancer Progression. Cancer Cell. 20(2). 214–228. 149 indexed citations

Gu, De-Leung, et al.. (2010). IGRhCellID: integrated genomic resources of human cell lines for identification. Nucleic Acids Research. 39(suppl_1). D520–D524. 11 indexed citations

Chen, Chian‐Feng, En‐Chi Hsu, Kuen‐Tyng Lin, et al.. (2010). Overlapping High-Resolution Copy Number Alterations in Cancer Genomes Identified Putative Cancer Genes in Hepatocellular Carcinoma. Hepatology. 52(5). 1690–1701. 60 indexed citations

Tseng, Chao‐Neng, et al.. (2009). Validation of Spilornis cheela hoya TaqMan probes for potential gender identification of many Accipitridae species. Theriogenology. 73(3). 404–411. 10 indexed citations

Chang, Hsueh‐Wei, et al.. (2008). High-throughput gender identification of Accipitridae eagles with real-time PCR using TaqMan probes. Theriogenology. 70(1). 83–90. 15 indexed citations

10.

Chang, Hsueh‐Wei, et al.. (2008). High-throughput avian molecular sexing by SYBR green-based real-time PCR combined with melting curve analysis. BMC Biotechnology. 8(1). 12–12. 57 indexed citations

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.

Explore authors with similar magnitude of impact