George W. Chang

1.8k total citations
46 papers, 1.4k citations indexed

About

George W. Chang is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Biochemistry. According to data from OpenAlex, George W. Chang has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Electrical and Electronic Engineering and 5 papers in Biochemistry. Recurrent topics in George W. Chang's work include Gut microbiota and health (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Enzyme function and inhibition (5 papers). George W. Chang is often cited by papers focused on Gut microbiota and health (6 papers), Amino Acid Enzymes and Metabolism (5 papers) and Enzyme function and inhibition (5 papers). George W. Chang collaborates with scholars based in United States, Taiwan and Australia. George W. Chang's co-authors include Peter Kam, David R. Friend, Shi‐Yen Shiau, Esmond E. Snell, Nelson L. Michael, E L Barrett, Kyung Eun Kim, Philip K. Ehrenberg, Scott A. Wegner and Bruce N. Ames and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

George W. Chang

46 papers receiving 1.3k citations

Peers

George W. Chang
Comparison fields: 5 of 130
  • Molecular Biology 519
  • Immunology 182
  • Virology 163
  • Oncology 158
  • Food Science 154
Replace W. Mellert with:
W. Mellert Germany
Sagarika Banerjee India
Chandrabose Selvaraj India
Yanxing Han China
Yoshio Kumazawa Japan
Jang‐Gi Choi South Korea
Bertold Fridlender Israel
Chang‐Min Lee South Korea
Xuefu You China
Patrick J. Sabourin United States
W. Mellert Germany View profile →
Citations per field, relative to George W. Chang
George W. Chang · 1×
Citations per year, relative to George W. Chang
George W. Chang · 1×

Countries citing papers authored by George W. Chang

Since Specialization
Citations

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

Fields of papers citing papers by George W. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George W. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of George W. Chang. A scholar is included among the top collaborators of George W. 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 George W. Chang. George W. 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 17
3
An integrated on-line system for experimental data analysis to electric machines laboratory
6
4 1
5 7
6 101
7 99
8 147
9 34
10 9
11 5
12 85
13 3
14 10
15 123
16 4
17 20
18 18
19 33
20 44

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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