John Hsu

3.2k total citations
47 papers, 2.5k citations indexed

About

John Hsu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, John Hsu has authored 47 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Oncology. Recurrent topics in John Hsu's work include Advanced Neuroimaging Techniques and Applications (7 papers), Microtubule and mitosis dynamics (5 papers) and Cancer-related Molecular Pathways (5 papers). John Hsu is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (7 papers), Microtubule and mitosis dynamics (5 papers) and Cancer-related Molecular Pathways (5 papers). John Hsu collaborates with scholars based in Taiwan, United States and Japan. John Hsu's co-authors include Hsing‐Pang Hsieh, Susumu Mori, Po‐Huang Liang, Kenichi Oishi, Andréia V. Faria, Michael I. Miller, Chih‐Jung Kuo, Argye E. Hillis, Ya‐Hui Chi and Chia-Nan Chen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and NeuroImage.

In The Last Decade

John Hsu

47 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Hsu Taiwan	27	638	631	422	418	327	47	2.5k
Judith Miklossy Switzerland	41	1.5k 2.3×	276 0.4×	568 1.3×	323 0.8×	173 0.5×	89	5.8k
Vivek Gupta Australia	36	1.9k 2.9×	458 0.7×	165 0.4×	143 0.3×	98 0.3×	206	4.6k
Fang Zheng United States	34	2.0k 3.1×	253 0.4×	285 0.7×	65 0.2×	430 1.3×	208	4.9k
Motohiro Kato Japan	42	1.7k 2.7×	254 0.4×	786 1.9×	125 0.3×	133 0.4×	354	6.8k
Carsten Korth Germany	39	3.1k 4.8×	173 0.3×	277 0.7×	102 0.2×	158 0.5×	121	5.0k
Patrick Emond France	37	1.7k 2.6×	545 0.9×	350 0.8×	139 0.3×	54 0.2×	165	4.0k
Robert Alexander United States	21	692 1.1×	92 0.1×	381 0.9×	89 0.2×	345 1.1×	68	3.0k
Ying Jiang United States	33	1.7k 2.7×	155 0.2×	158 0.4×	244 0.6×	379 1.2×	74	5.7k
Xiaochun Chen China	41	2.2k 3.4×	100 0.2×	210 0.5×	122 0.3×	193 0.6×	205	5.5k

Countries citing papers authored by John Hsu

Since Specialization

Citations

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

Fields of papers citing papers by John Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of John Hsu. A scholar is included among the top collaborators of John Hsu 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 John Hsu. John Hsu 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

Szmulewicz, Alejandro, et al.. (2021). Impact of the COVID-19 Pandemic on the Employment and Educational Outcomes of Individuals in a First-Episode Psychosis Clinic. Psychiatric Services. 73(2). 165–171. 3 indexed citations

Huang, Peng-Nien, et al.. (2020). Effect of a Neuropilin-1-Derived Virus Receptor Trap on Enterovirus A71 Infection In Vitro. Antimicrobial Agents and Chemotherapy. 65(1). 4 indexed citations

Hung, Hui-Chen, Yi-Yu Ke, Sheng‐Yu Huang, et al.. (2020). Discovery of M Protease Inhibitors Encoded by SARS-CoV-2. Antimicrobial Agents and Chemotherapy. 64(9). 76 indexed citations

Li, Xu, Lin Chen, Kwame S. Kutten, et al.. (2019). Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. NeuroImage. 191. 337–349. 61 indexed citations

Chao, Po-Kuan, Jian‐Ying Chuang, Shau‐Hua Ueng, et al.. (2019). Convallatoxin enhance the ligand-induced mu-opioid receptor endocytosis and attenuate morphine antinociceptive tolerance in mice. Scientific Reports. 9(1). 2405–2405. 10 indexed citations

Chen, Li‐Tzong, Chiung-Tong Chen, Tsai‐Yun Chen, et al.. (2016). BPR1J373, an Oral Multiple Tyrosine Kinase Inhibitor, Targets c-KIT for the Treatment of c-KIT –Driven Myeloid Leukemia. Molecular Cancer Therapeutics. 15(10). 2323–2333. 10 indexed citations

Davis, Cameron, Kenichi Oishi, Andréia V. Faria, et al.. (2015). White matter tracts critical for recognition of sarcasm. Neurocase. 22(1). 22–29. 18 indexed citations

Wu, Dan, Ting Ma, Can Ceritoglu, et al.. (2015). Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI. NeuroImage. 125. 120–130. 89 indexed citations

Sarvagalla, Sailu, Vivek Kumar Singh, Yi-Yu Ke, et al.. (2014). Identification of ligand efficient, fragment-like hits from an HTS library: structure-based virtual screening and docking investigations of 2H- and 3H-pyrazolo tautomers for Aurora kinase A selectivity. Journal of Computer-Aided Molecular Design. 29(1). 89–100. 38 indexed citations

10.

Shih, Shin‐Ru, et al.. (2014). The Combination Effects of LiCl and the Active Leflunomide Metabolite, A771726, on Viral-Induced Interleukin 6 Production and EV-A71 Replication. PLoS ONE. 9(11). e111331–e111331. 7 indexed citations

11.

Leigh, Richard, Kenichi Oishi, John Hsu, et al.. (2013). Acute lesions that impair affective empathy. Brain. 136(8). 2539–2549. 115 indexed citations

12.

Hung, Hui‐Chih, et al.. (2010). Inhibition of enterovirus 71 replication and the viral 3D polymerase by aurintricarboxylic acid. Journal of Antimicrobial Chemotherapy. 65(4). 676–683. 56 indexed citations

13.

Horng, Jim‐Tong, Leo L. M. Poon, Tun‐Chieh Chen, et al.. (2009). BPR2-D2 targeting viral ribonucleoprotein complex-associated function inhibits oseltamivir-resistant influenza viruses. Journal of Antimicrobial Chemotherapy. 65(1). 63–71. 24 indexed citations

14.

Kuo, Chih‐Jung, Jiun‐Jie Shie, Jim‐Min Fang, et al.. (2008). Design, synthesis, and evaluation of 3C protease inhibitors as anti-enterovirus 71 agents. Bioorganic & Medicinal Chemistry. 16(15). 7388–7398. 75 indexed citations

15.

Lin, Wen‐Hsing, Jen‐Shin Song, Chunyu Chang, et al.. (2008). A cell-based high-throughput screen for epidermal growth factor receptor pathway inhibitors. Analytical Biochemistry. 377(1). 89–94. 8 indexed citations

16.

Hsu, John, Hsing‐Pang Hsieh, Jinn‐Moon Yang, et al.. (2007). Anti-influenza drug discovery. Drugs of the Future. 32. 97–97. 1 indexed citations

17.

Hsieh, Hsing‐Pang & John Hsu. (2007). Strategies of Development of Antiviral Agents Directed Against Influenza Virus Replication. Current Pharmaceutical Design. 13(34). 3531–3542. 89 indexed citations

18.

Wu, Yu-Shan, Wen‐Hsing Lin, John Hsu, & Hsing‐Pang Hsieh. (2006). Antiviral Drug Discovery Against SARS-CoV. Current Medicinal Chemistry. 13(17). 2003–2020. 36 indexed citations

19.

Hsu, John, et al.. (2004). Evaluation of metal‐conjugated compounds as inhibitors of 3CL protease of SARS‐CoV. FEBS Letters. 574(1-3). 116–120. 81 indexed citations

20.

Kuo, Chih‐Jung, Ya‐Hui Chi, John Hsu, & Po‐Huang Liang. (2004). Characterization of SARS main protease and inhibitor assay using a fluorogenic substrate. Biochemical and Biophysical Research Communications. 318(4). 862–867. 140 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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