Yih-Hsin Chang

1.0k total citations
29 papers, 658 citations indexed

About

Yih-Hsin Chang is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Yih-Hsin Chang has authored 29 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Yih-Hsin Chang's work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (6 papers) and Diabetes and associated disorders (6 papers). Yih-Hsin Chang is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (6 papers) and Diabetes and associated disorders (6 papers). Yih-Hsin Chang collaborates with scholars based in Taiwan, United States and China. Yih-Hsin Chang's co-authors include Ming‐Yuh Shiau, Chien‐Ning Huang, Jaulang Hwang, Hui‐Ling Chiou, Shih‐Tzer Tsai, Yu‐Li Lo, Huei Lee, Shun‐Chun Yang, Ya‐Wen Cheng and Tzu-Chin Wu and has published in prestigious journals such as Nucleic Acids Research, Diabetes and Analytical Biochemistry.

In The Last Decade

Yih-Hsin Chang

28 papers receiving 639 citations

Peers

Yih-Hsin Chang
Comparison fields: 5 of 83
  • Epidemiology 247
  • Molecular Biology 182
  • Physiology 154
  • Immunology 146
  • Surgery 107
Replace Ming‐Yuh Shiau with:
Ming‐Yuh Shiau Taiwan
Susanne Roser United States
Ashok Kumar Kumawat Sweden
Rie Irie Japan
Alejandra C. Cherñavsky Argentina
Sébastien André France
Sukriti Sukriti India
Youan Liu Canada
Adriaan Duijvestijn Netherlands
Amine Toubal France
Ming‐Yuh Shiau Taiwan View profile →
Citations per field, relative to Yih-Hsin Chang
Yih-Hsin Chang · 1×
Citations per year, relative to Yih-Hsin Chang
Yih-Hsin Chang · 1×

Countries citing papers authored by Yih-Hsin Chang

Since Specialization
Citations

This map shows the geographic impact of Yih-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 Yih-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 Yih-Hsin Chang more than expected).

Fields of papers citing papers by Yih-Hsin Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yih-Hsin Chang. A scholar is included among the top collaborators of Yih-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 Yih-Hsin Chang. Yih-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 29
2 5
3 21
4 12
5 13
6 121
7 17
8 21
9 13
10 16
11 40
12 32
13 39
14 14
15 6
16 46
17 32
18 4
19 29
20 11

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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