Hsueh‐Fen Juan

12.5k total citations
165 papers, 4.8k citations indexed

About

Hsueh‐Fen Juan is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Hsueh‐Fen Juan has authored 165 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Molecular Biology, 45 papers in Cancer Research and 22 papers in Neurology. Recurrent topics in Hsueh‐Fen Juan's work include Bioinformatics and Genomic Networks (23 papers), RNA modifications and cancer (22 papers) and Neuroblastoma Research and Treatments (20 papers). Hsueh‐Fen Juan is often cited by papers focused on Bioinformatics and Genomic Networks (23 papers), RNA modifications and cancer (22 papers) and Neuroblastoma Research and Treatments (20 papers). Hsueh‐Fen Juan collaborates with scholars based in Taiwan, United States and Japan. Hsueh‐Fen Juan's co-authors include Hsuan‐Cheng Huang, Chia‐Lang Hsu, Shui‐Tein Chen, Li‐Ling Lin, Hsin‐Yi Chang, Chantal Hoi Yin Cheung, Shui-Tein Chen, Chen-Ching Lin, Tsui‐Chin Huang and Wen‐Hung Kuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Applied Physics Letters.

In The Last Decade

Hsueh‐Fen Juan

162 papers receiving 4.7k citations

Peers

Hsueh‐Fen Juan

IMMUN

ONCOL

Hsuan‐Cheng Huang Taiwan

Wen‐Bin Yang Taiwan

Sune Pletscher-Frankild Denmark

G.M. Anantharamaiah United States

Ho Jeong Kwon South Korea

Bridget K. Wagner United States

Kieran F. Geoghegan United States

Liang Cao China

Yunping Zhu China

Masoud Vedadi Canada

Hsuan‐Cheng Huang Taiwan

Hsueh‐Fen Juan

2.5k ×0.8

872 ×0.8

387 ×0.7

IMMUN

241 ×0.5

ONCOL

310 ×0.9

Citations per year, relative to Hsueh‐Fen Juan Hsueh‐Fen Juan (= 1×) peers Hsuan‐Cheng Huang

Countries citing papers authored by Hsueh‐Fen Juan

Since Specialization

Citations

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

Fields of papers citing papers by Hsueh‐Fen Juan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsueh‐Fen Juan. 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 Hsueh‐Fen Juan. The network helps show where Hsueh‐Fen Juan may publish in the future.

Co-authorship network of co-authors of Hsueh‐Fen Juan

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh‐Fen Juan. A scholar is included among the top collaborators of Hsueh‐Fen Juan 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 Hsueh‐Fen Juan. Hsueh‐Fen Juan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Jieyu, et al.. (2025). Single-cell and multi-omics integration reveals cholesterol biosynthesis as a synergistic target with HER2 in aggressive breast cancer. Computational and Structural Biotechnology Journal. 27. 1719–1731. 1 indexed citations

Huang, Jia‐Hsin, et al.. (2024). scDrug+: predicting drug-responses using single-cell transcriptomics and molecular structure. Biomedicine & Pharmacotherapy. 177. 117070–117070. 1 indexed citations

Chang, Yi‐Wen, Charles Pin‐Kuang Lai, Nai‐Wen Chang, et al.. (2023). Ectopic ATP synthase stimulates the secretion of extracellular vesicles in cancer cells. Communications Biology. 6(1). 642–642. 10 indexed citations

Huang, Chen-Tsung, Yi‐Sheng Cheng, Chun‐Hua Hsu, et al.. (2023). Homoharringtonine as a PHGDH inhibitor: Unraveling metabolic dependencies and developing a potent therapeutic strategy for high-risk neuroblastoma. Biomedicine & Pharmacotherapy. 166. 115429–115429. 4 indexed citations

Chang, Yi‐Wen, T. Tony Yang, Minchun Chen, et al.. (2023). Spatial and temporal dynamics of ATP synthase from mitochondria toward the cell surface. Communications Biology. 6(1). 11 indexed citations

Li, Yu‐Hsuan, Chao‐Wu Yu, Jui‐Ling Hsu, et al.. (2021). Inhibitor development of MTH1 via high-throughput screening with fragment based library and MTH1 substrate binding cavity. Bioorganic Chemistry. 110. 104813–104813. 5 indexed citations

Li, Albert, et al.. (2021). LncTx: A network-based method to repurpose drugs acting on the survival-related lncRNAs in lung cancer. Computational and Structural Biotechnology Journal. 19. 3990–4002. 5 indexed citations

Sung, Yun‐Chieh, Yen‐Ju Chen, Hsi‐Chien Huang, et al.. (2020). Multiresolution Imaging Using Bioluminescence Resonance Energy Transfer Identifies Distinct Biodistribution Profiles of Extracellular Vesicles and Exomeres with Redirected Tropism. Advanced Science. 7(19). 2001467–2001467. 64 indexed citations

Huang, Chen-Tsung, Yen‐Lin Liu, Wen‐Ming Hsu, et al.. (2019). Therapeutic Targeting of Non-oncogene Dependencies in High-risk Neuroblastoma. Clinical Cancer Research. 25(13). 4063–4078. 15 indexed citations

10.

Wu, Pei‐Yi, I‐Shing Yu, Yueh‐Chien Lin, et al.. (2019). Activation of Aryl Hydrocarbon Receptor by Kynurenine Impairs Progression and Metastasis of Neuroblastoma. Cancer Research. 79(21). 5550–5562. 30 indexed citations

11.

Fang, Wei‐Cheng, et al.. (2015). Mitochondrial Lon regulates apoptosis through the association with Hsp60–mtHsp70 complex. Cell Death and Disease. 6(2). e1642–e1642. 65 indexed citations

12.

Gao, Liyan, Xiahe Huang, Haitao Ge, et al.. (2014). Profiling and Compositional Analysis of the Exoproteome of Synechocystis Sp. PCC 6803. 1(1). 7 indexed citations

13.

Chang, Hsin‐Yi, Hsuan‐Cheng Huang, Tsui‐Chin Huang, et al.. (2012). Ectopic ATP Synthase Blockade Suppresses Lung Adenocarcinoma Growth by Activating the Unfolded Protein Response. Cancer Research. 72(18). 4696–4706. 64 indexed citations

14.

Chen, Jia-Yang, Yen-An Tang, Hsueh‐Fen Juan, et al.. (2011). A Novel Sialyltransferase Inhibitor Suppresses FAK/Paxillin Signaling and Cancer Angiogenesis and Metastasis Pathways. Cancer Research. 71(2). 473–483. 115 indexed citations

15.

Chang, Hsiu‐Hao, Hsinyu Lee, Po‐Nien Tsao, et al.. (2010). Notch1 Expression Predicts an Unfavorable Prognosis and Serves as a Therapeutic Target of Patients with Neuroblastoma. Clinical Cancer Research. 16(17). 4411–4420. 41 indexed citations

16.

Lin, Chen-Ching, et al.. (2009). Predicting essential genes based on network and sequence analysis. Molecular BioSystems. 5(12). 1672–1678. 95 indexed citations

17.

Hsu, Wen‐Ming, Hsinyu Lee, Hsueh‐Fen Juan, et al.. (2008). Identification of GRP75 as an Independent Favorable Prognostic Marker of Neuroblastoma by a Proteomics Analysis. Clinical Cancer Research. 14(19). 6237–6245. 25 indexed citations

18.

Huang, Hsuan‐Cheng, et al.. (2008). MeInfoText: associated gene methylation and cancer information from text mining. BMC Bioinformatics. 9(1). 22–22. 30 indexed citations

19.

Huang, Tsui‐Chin, Hsuan‐Cheng Huang, Hsin‐Yi Chang, et al.. (2007). An apoptosis‐related gene network induced by novel compound‐cRGD in human breast cancer cells. FEBS Letters. 581(18). 3517–3522. 11 indexed citations

20.

Juan, Hsueh‐Fen, et al.. (1999). Comparison of Three Classes of Snake Neurotoxins by Homology Modeling and Computer Simulation Graphics. Biochemical and Biophysical Research Communications. 257(2). 500–510. 9 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.

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