Che-Wei Chang

1.3k total citations
28 papers, 956 citations indexed

About

Che-Wei Chang is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Che-Wei Chang has authored 28 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cell Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Che-Wei Chang's work include Cellular transport and secretion (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Neuroscience and Neuropharmacology Research (6 papers). Che-Wei Chang is often cited by papers focused on Cellular transport and secretion (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Neuroscience and Neuropharmacology Research (6 papers). Che-Wei Chang collaborates with scholars based in United States, Taiwan and Canada. Che-Wei Chang's co-authors include Zena Werb, Lennart Mucke, Qiang Shao, Meyer B. Jackson, O. Fennema, William Powrie, Gui-Qiu Yu, Xinxing Yu, Edwin R. Chapman and Mark D. Evans and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Che-Wei Chang

28 papers receiving 933 citations

Peers

Che-Wei Chang
Comparison fields: 5 of 123
  • Molecular Biology 408
  • Physiology 227
  • Cell Biology 217
  • Cellular and Molecular Neuroscience 157
  • Cancer Research 121
Replace Atsushi Fujita with:
Atsushi Fujita Japan
Minseok Song South Korea
Sang‐Eun Lee South Korea
Terri L. Gilbert United States
Ming-Hong Tai Taiwan
Takahiro Ito United States
Ana Guzmán‐Aránguez Spain
Kensuke Ikenaka Japan
Ruxiang Xu China
Atsushi Fujita Japan View profile →
Citations per field, relative to Che-Wei Chang
Che-Wei Chang · 1×
Citations per year, relative to Che-Wei Chang
Che-Wei Chang · 1×

Countries citing papers authored by Che-Wei Chang

Since Specialization
Citations

This map shows the geographic impact of Che-Wei 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-Wei 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-Wei Chang more than expected).

Fields of papers citing papers by Che-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Che-Wei Chang. A scholar is included among the top collaborators of Che-Wei 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-Wei Chang. Che-Wei 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 1
3 16
4 5
5 160
6 29
7 11
8 65
9 1
10 10
11 12
12 62
13 3
14 15
15 41
16 30
17 3
18 10
19 51
20 10

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026