Chao‐Hsiung Hsu

25 total papers · 461 total citations
18 papers, 361 citations indexed

About

Chao‐Hsiung Hsu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Chao‐Hsiung Hsu has authored 18 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Biomedical Engineering. Recurrent topics in Chao‐Hsiung Hsu's work include Advanced MRI Techniques and Applications (6 papers), Nanoparticle-Based Drug Delivery (4 papers) and NMR spectroscopy and applications (3 papers). Chao‐Hsiung Hsu is often cited by papers focused on Advanced MRI Techniques and Applications (6 papers), Nanoparticle-Based Drug Delivery (4 papers) and NMR spectroscopy and applications (3 papers). Chao‐Hsiung Hsu collaborates with scholars based in Taiwan, United States and France. Chao‐Hsiung Hsu's co-authors include Yung‐Ya Lin, Lian‐Pin Hwang, Ying‐Chih Lin, Zhao Li, Pi‐Tai Chou, Fang-Chu Lin, Shern‐Long Lee, Nai‐Ti Lin, Lian Pin Hwang and Tien‐Yau Luh and has published in prestigious journals such as Angewandte Chemie International Edition, Biomaterials and Magnetic Resonance in Medicine.

In The Last Decade

Chao‐Hsiung Hsu

16 papers receiving 360 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chao‐Hsiung Hsu	153	147	116	93	90	18	361
Alla S. Nuraeva	204 1.3×	138 0.9×	86 0.7×	113 1.2×	151 1.7×	24	400
Yuhui Gong	165 1.1×	113 0.8×	126 1.1×	83 0.9×	90 1.0×	16	391
Amine M. Laradji	90 0.6×	101 0.7×	115 1.0×	146 1.6×	60 0.7×	12	402
Gregory P. Robbins	101 0.7×	120 0.8×	120 1.0×	60 0.6×	98 1.1×	11	356
P. Christine Ackroyd	78 0.5×	119 0.8×	161 1.4×	138 1.5×	40 0.4×	16	363
Saziye Yorulmaz Avsar	80 0.5×	111 0.8×	145 1.3×	61 0.7×	93 1.0×	15	333
Sikang Wan	128 0.8×	108 0.7×	94 0.8×	132 1.4×	60 0.7×	19	355
Zulfiya Černochová	88 0.6×	87 0.6×	41 0.4×	90 1.0×	135 1.5×	27	328
Jürgen Linders	88 0.6×	53 0.4×	62 0.5×	111 1.2×	132 1.5×	25	326
Véronique Montembault	121 0.8×	103 0.7×	55 0.5×	67 0.7×	146 1.6×	13	352

Countries citing papers authored by Chao‐Hsiung Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Chao‐Hsiung Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Hsiung Hsu

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