Li‐Hsun Chang

17 total papers · 587 total citations
12 papers, 488 citations indexed

About

Li‐Hsun Chang is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Li‐Hsun Chang has authored 12 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Pathology and Forensic Medicine and 2 papers in Molecular Biology. Recurrent topics in Li‐Hsun Chang's work include Neurobiology and Insect Physiology Research (2 papers), Silk-based biomaterials and applications (2 papers) and Nerve injury and regeneration (2 papers). Li‐Hsun Chang is often cited by papers focused on Neurobiology and Insect Physiology Research (2 papers), Silk-based biomaterials and applications (2 papers) and Nerve injury and regeneration (2 papers). Li‐Hsun Chang collaborates with scholars based in Taiwan, Spain and Singapore. Li‐Hsun Chang's co-authors include Jui‐Chou Hsu, Shu‐Yi Wei, Chieh‐Ming J. Chang, Luis M. Escudero, Liying Chen, Fengwei Yu, Juan Modolell, William Chia, Ting‐Ting Jong and Shiow‐Lin Pan and has published in prestigious journals such as Development, Brain Research and Food Chemistry.

In The Last Decade

Li‐Hsun Chang

12 papers receiving 482 citations

Author Peers

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

Author						Papers	Cites
Li‐Hsun Chang	217	196	88	60	42	12	488
Fouad Azizi	296 1.4×	130 0.7×	66 0.8×	13 0.2×	25 0.6×	16	489
Jordi Pijuan	244 1.1×	59 0.3×	35 0.4×	80 1.3×	11 0.3×	15	519
Anaïs Panosa	242 1.1×	49 0.3×	17 0.2×	77 1.3×	10 0.2×	10	512
Daniela Intartaglia	263 1.2×	159 0.8×	38 0.4×	30 0.5×	12 0.3×	16	527
Amin Tashakor	352 1.6×	44 0.2×	30 0.3×	67 1.1×	8 0.2×	13	526
Di Bei	153 0.7×	33 0.2×	30 0.3×	38 0.6×	15 0.4×	16	445
Pol Sisó	227 1.0×	44 0.2×	20 0.2×	76 1.3×	18 0.4×	8	460
Y Ishida	217 1.0×	39 0.2×	46 0.5×	22 0.4×	20 0.5×	11	503
Brigitte H. Fasciotto	274 1.3×	170 0.9×	108 1.2×	6 0.1×	16 0.4×	20	479
Alan Akiyama	272 1.3×	173 0.9×	84 1.0×	15 0.3×	20 0.5×	13	530

Countries citing papers authored by Li‐Hsun Chang

Since Specialization

Citations

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

Fields of papers citing papers by Li‐Hsun Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Hsun Chang. 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 Li‐Hsun Chang. The network helps show where Li‐Hsun Chang may publish in the future.

Co-authorship network of co-authors of Li‐Hsun Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Hsun Chang. A scholar is included among the top collaborators of Li‐Hsun Chang 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 Li‐Hsun Chang. Li‐Hsun Chang 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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