Shih-Hsin Chang

1.5k total citations · 1 hit paper
38 papers, 1.2k citations indexed

About

Shih-Hsin Chang is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Shih-Hsin Chang has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Immunology and 7 papers in Ecology. Recurrent topics in Shih-Hsin Chang's work include Parasite Biology and Host Interactions (7 papers), Mollusks and Parasites Studies (5 papers) and S100 Proteins and Annexins (5 papers). Shih-Hsin Chang is often cited by papers focused on Parasite Biology and Host Interactions (7 papers), Mollusks and Parasites Studies (5 papers) and S100 Proteins and Annexins (5 papers). Shih-Hsin Chang collaborates with scholars based in Taiwan, United States and China. Shih-Hsin Chang's co-authors include Tsong‐Long Hwang, John Ding‐E Young, Jan Martel, David M. Ojcius, Yun‐Fei Ko, J.S.C. Jang, Yung‐Fong Tsai, Ming-Jen Chen, Lian-Chen Wang and Jinn P. Chu and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Free Radical Biology and Medicine.

In The Last Decade

Shih-Hsin Chang

38 papers receiving 1.2k citations

Hit Papers

Gut barrier disruption and chronic disease 2022 2026 2023 2024 2022 100 200 300

Peers

Shih-Hsin Chang
Comparison fields: 5 of 142
  • Molecular Biology 452
  • Immunology 172
  • Physiology 135
  • Surgery 107
  • Mechanical Engineering 92
Replace Kai Gao with:
Kai Gao China
Ting Ding China
Jiaqi Chu China
Kaori Shimizu Japan
David Smith United States
Jinrong He China
Takahiro Abe Japan
Changqing Liu China
Jianfeng Wang China
Matthew A. Smith United States
Kai Gao China View profile →
Citations per field, relative to Shih-Hsin Chang
Shih-Hsin Chang · 1×
Citations per year, relative to Shih-Hsin Chang
Shih-Hsin Chang · 1×

Countries citing papers authored by Shih-Hsin Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Hsin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shih-Hsin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Hsin Chang. A scholar is included among the top collaborators of Shih-Hsin 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 Shih-Hsin Chang. Shih-Hsin 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
# Work Indexed citations
1 6
2 36
3 5
4 13
5 11
6 51
7 39
8 30
9 22
10 78
11 28
12 18
13 16
14 10
15 21
16 20
17 13
18 9
19 16
20 34

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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