Tsung-Hsien Chang

3.5k citations
87 papers · 2.6k indexed · 1 hit paper · h-index 24
Topics
interferon and immune responses (13 papers)Viral Infections and Vectors (13 papers)Mosquito-borne diseases and control (12 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Tsung-Hsien Chang

83 papers receiving 2.6k citations

Hit Papers

TRIM family proteins and their emerging roles in innate i...20082026201420202008250500750

Peers

Tsung-Hsien Chang
Comparison fields: 5 of 126
  • Immunology 1.2k
  • Molecular Biology 1.1k
  • Infectious Diseases 505
  • Epidemiology 410
  • Oncology 331
Replace Saurabh Chattopadhyay with:
Saurabh Chattopadhyay United States
Sharmila Nair United States
Elke S. Bergmann‐Leitner United States
Jiusheng Deng United States
Ricardo Z. N. Vêncio Brazil
Debra J. Taxman United States
Pamela A. Wearsch United States
Hans-Heinrich Hoffmann United States
Geanncarlo Lugo‐Villarino France
Anna George India
Tsung-Hsien Chang relative to Saurabh Chattopadhyay United States Saurabh Chattopadhyay's profile →
Citations per field
00.5×1.5×
Saurabh Chattopadhyay · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 2
6 3
7 1
8 1
9 1
10 23
11 17
12 4
13 42
14 56
15 30
16 28
17 84
18 26
19 17
20 193

About Tsung-Hsien Chang

Tsung-Hsien Chang is a scholar working on Infectious Diseases, Immunology and Biochemistry, having authored 87 papers that have together received 2.6k indexed citations. Recurring topics across this work include interferon and immune responses (13 papers), Viral Infections and Vectors (13 papers) and Mosquito-borne diseases and control (12 papers). The work is most often cited by research in Immunology (1.2k citations), Infectious Diseases (505 citations) and Virology (128 citations). Tsung-Hsien Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Keiko Ozato, Herbert C. Morse, Dong‐Mi Shin, Yi‐Ling Lin, Ching‐Len Liao, Mayumi Matsuoka, Toru Kubota, Jih‐Jung Chen, Prafullakumar Tailor and Steven J.M. Jones. Their work appears in journals such as Journal of Biological Chemistry, Nature reviews. Immunology and The Journal of Immunology.

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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