Tsung-Hsien Chang

3.5k total citations · 1 hit paper
87 papers, 2.6k citations indexed

About

Tsung-Hsien Chang is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Tsung-Hsien Chang has authored 87 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Infectious Diseases and 18 papers in Immunology. Recurrent topics in Tsung-Hsien Chang's work include interferon and immune responses (13 papers), Viral Infections and Vectors (13 papers) and Mosquito-borne diseases and control (12 papers). Tsung-Hsien Chang is often cited by papers focused on interferon and immune responses (13 papers), Viral Infections and Vectors (13 papers) and Mosquito-borne diseases and control (12 papers). Tsung-Hsien Chang collaborates with scholars based in Taiwan, United States and Japan. Tsung-Hsien Chang's co-authors include Keiko Ozato, Herbert C. Morse, Dong‐Mi Shin, Yi‐Ling Lin, Ching‐Len Liao, Toru Kubota, Mayumi Matsuoka, Jih‐Jung Chen, Mike Bray and Steven J.M. Jones and has published in prestigious journals such as Journal of Biological Chemistry, Nature reviews. Immunology and The Journal of Immunology.

In The Last Decade

Tsung-Hsien Chang

83 papers receiving 2.6k citations

Hit Papers

TRIM family proteins and ... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsung-Hsien Chang Taiwan 24 1.2k 1.1k 505 410 331 87 2.6k
Saurabh Chattopadhyay United States 28 1.4k 1.1× 1.3k 1.3× 469 0.9× 417 1.0× 281 0.8× 88 2.8k
Jiusheng Deng United States 18 1.9k 1.6× 1.2k 1.2× 393 0.8× 573 1.4× 216 0.7× 38 3.6k
Mikhail A. Gavrilin United States 33 1.5k 1.2× 2.1k 2.0× 280 0.6× 481 1.2× 196 0.6× 71 3.7k
Hans-Heinrich Hoffmann United States 22 1.1k 0.9× 1.2k 1.1× 1.0k 2.1× 651 1.6× 255 0.8× 36 3.0k
Baoxue Ge China 33 1.4k 1.2× 1.7k 1.6× 879 1.7× 752 1.8× 311 0.9× 71 3.8k
Ricardo Z. N. Vêncio Brazil 24 528 0.4× 1.2k 1.1× 334 0.7× 412 1.0× 187 0.6× 72 2.5k
Liang Deng United States 27 935 0.8× 823 0.8× 432 0.9× 380 0.9× 388 1.2× 79 2.2k
Geanncarlo Lugo‐Villarino France 32 1.6k 1.4× 1.5k 1.4× 1.0k 2.0× 684 1.7× 258 0.8× 48 3.7k
Gabriele Sass United States 32 505 0.4× 1.5k 1.4× 437 0.9× 611 1.5× 267 0.8× 88 3.0k
Luisa Cervantes‐Barragán United States 22 2.3k 1.9× 1.6k 1.5× 1.0k 2.1× 509 1.2× 319 1.0× 38 4.5k

Countries citing papers authored by Tsung-Hsien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tsung-Hsien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsung-Hsien 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 Tsung-Hsien Chang. The network helps show where Tsung-Hsien Chang may publish in the future.

Co-authorship network of co-authors of Tsung-Hsien Chang

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

All Works

20 of 20 papers shown
1.
Chang, Tsung-Hsien, et al.. (2025). Antioxidant and Anti-Inflammatory Constituents from Myristica elliptica var. simiarum. Chemistry of Natural Compounds. 61(1). 27–31.
2.
Liaw, Chia‐Ching, Tsung-Hsien Chang, Chih‐Wen Shu, et al.. (2024). Antioxidant and Anti-Inflammatory Constituents from Rhamnus crenata. Chemistry of Natural Compounds. 60(1). 50–54.
3.
Liao, Ying‐Chieh, et al.. (2024). Effects of the oxoaporphine alkaloid hernandonine on dengue virus. Evidence for its mechanisms of action. Phytomedicine. 134. 155986–155986. 1 indexed citations
4.
Huang, Chien‐Ming, Tsung-Hsien Chang, Chih‐Wen Shu, et al.. (2023). A New Cinnamic Acid Derivative and Anti-Inflammatory Constituents from Capparis lanceolaris. Chemistry of Natural Compounds. 59(3). 493–496. 2 indexed citations
5.
Chang, Tsung-Hsien, et al.. (2023). Risk of Serious Infections in Patients with Bullous Pemphigoid: A Population-based Cohort Study. Acta Dermato Venereologica. 103. adv5329–adv5329. 3 indexed citations
6.
Chen, Jih‐Jung, et al.. (2022). Human Platelet Lysate Induces Antiviral Responses against Parechovirus A3. Viruses. 14(7). 1499–1499. 1 indexed citations
7.
Chen, Jih‐Jung, et al.. (2020). Detection of Parechovirus A1 with Monoclonal Antibody against Capsid Protein VP0. Microorganisms. 8(11). 1794–1794. 1 indexed citations
8.
Wu, Chen‐Yi, et al.. (2020). Is rosacea a risk factor for cancer: A population-based cohort study in Taiwan. Dermatologica Sinica. 38(1). 15–15. 23 indexed citations
9.
Chang, Tsung-Hsien, et al.. (2019). A New Lignanamide Derivative and Bioactive Constituents of Lycium chinense. Chemistry of Natural Compounds. 55(6). 1002–1006. 4 indexed citations
10.
Huang, Tsi-Shu, et al.. (2018). Parechovirus A Detection by a Comprehensive Approach in a Clinical Laboratory. Viruses. 10(12). 711–711. 4 indexed citations
11.
Chen, Jih‐Jung, et al.. (2017). Ficus septica plant extracts for treating Dengue virus in vitro. PeerJ. 5. e3448–e3448. 14 indexed citations
13.
Chang, Tsung-Hsien, Ryusuke Yoshimi, & Keiko Ozato. (2015). Tripartite Motif (TRIM) 12c, a Mouse Homolog of TRIM5, Is a Ubiquitin Ligase That Stimulates Type I IFN and NF-κB Pathways along with TNFR-Associated Factor 6. The Journal of Immunology. 195(11). 5367–5379. 28 indexed citations
14.
Chen, Pei‐Yu, et al.. (2015). Limonoids from the Seeds of Swietenia macrophylla and Their Anti-Inflammatory Activities. Molecules. 20(10). 18551–18564. 30 indexed citations
15.
Chiang, An‐Jen, Di‐Rong Chen, Jiin‐Tsuey Cheng, & Tsung-Hsien Chang. (2015). Detection of human papillomavirus in squamous cell carcinoma arising from dermoid cysts. Taiwanese Journal of Obstetrics and Gynecology. 54(5). 559–566. 28 indexed citations
16.
Yu, Chia-Yi, Wei-Lun Tsai, Jih‐Jung Chen, et al.. (2014). Hydroxychloroquine-Inhibited Dengue Virus Is Associated with Host Defense Machinery. Journal of Interferon & Cytokine Research. 35(3). 143–156. 84 indexed citations
17.
Chang, Tsung-Hsien, Chia-Yi Yu, You-Sheng Lin, et al.. (2012). Dengue Virus Serotype 2 Blocks Extracellular Signal-Regulated Kinase and Nuclear Factor-κB Activation to Downregulate Cytokine Production. PLoS ONE. 7(8). e41635–e41635. 26 indexed citations
18.
Ozato, Keiko, Ryusuke Yoshimi, Tsung-Hsien Chang, et al.. (2009). Comment on “Gene Disruption Study Reveals a Nonredundant Role for TRIM21/Ro52 in NF-κB-Dependent Cytokine Expression in Fibroblasts”. The Journal of Immunology. 183(12). 7619–7619. 17 indexed citations
19.
Chang, Tsung-Hsien, Toru Kubota, Mayumi Matsuoka, et al.. (2009). Ebola Zaire Virus Blocks Type I Interferon Production by Exploiting the Host SUMO Modification Machinery. PLoS Pathogens. 5(6). e1000493–e1000493. 176 indexed citations
20.
Gossard, Jean‐Pierre, Mary Kay Floeter, Y. Kawai, et al.. (1994). Fluctuations of excitability in the monosynaptic reflex pathway to lumbar motoneurons in the cat. Journal of Neurophysiology. 72(3). 1227–1239. 34 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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