Che‐Chang Chang

2.1k total citations
43 papers, 1.6k citations indexed

About

Che‐Chang Chang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Che‐Chang Chang has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Che‐Chang Chang's work include Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Che‐Chang Chang is often cited by papers focused on Ubiquitin and proteasome pathways (11 papers), Glycosylation and Glycoproteins Research (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Che‐Chang Chang collaborates with scholars based in Taiwan, United States and Vietnam. Che‐Chang Chang's co-authors include Hsiu-Ming Shih, Yen‐Sung Huang, Ding-Yen Lin, Chun-Chen Ho, Gerd G. Maul, Tsung‐Rong Kuo, Ruey‐Hwa Chen, Kun-Sang Chang, Sibidou Yougbaré and Ting-Ting Chao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Che‐Chang Chang

42 papers receiving 1.6k citations

Peers

Che‐Chang Chang
Comparison fields: 5 of 111
  • Molecular Biology 1.1k
  • Oncology 349
  • Immunology 242
  • Cancer Research 219
  • Materials Chemistry 167
Replace Debaditya Mukhopadhyay with:
Debaditya Mukhopadhyay United States
Rebecca Voltan Italy
Xiuxia Zhou China
Mark Castanares United States
Jenny Ho Australia
Lei Wei China
Guang‐Hong Tan China
Suet‐Mien Tan Singapore
Chaojun Song China
Debaditya Mukhopadhyay United States View profile →
Citations per field, relative to Che‐Chang Chang
Che‐Chang Chang · 1×
Citations per year, relative to Che‐Chang Chang
Che‐Chang Chang · 1×

Countries citing papers authored by Che‐Chang Chang

Since Specialization
Citations

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

Fields of papers citing papers by Che‐Chang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Che‐Chang Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Che‐Chang Chang. A scholar is included among the top collaborators of Che‐Chang 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 Che‐Chang Chang. Che‐Chang 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 1
2 6
3 1
4 65
5 19
6 13
7 7
8 148
9 9
10 17
11 34
12 48
13 37
14 3
15 50
16 8
17 37
18 73
19 2
20 348

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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