Gin-Wen Chang

18 papers and 5.5k indexed citations i.

About

Gin-Wen Chang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gin-Wen Chang has authored 18 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gin-Wen Chang’s work include Monoclonal and Polyclonal Antibodies Research (6 papers), Receptor Mechanisms and Signaling (6 papers) and Cell Adhesion Molecules Research (5 papers). Gin-Wen Chang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Receptor Mechanisms and Signaling (6 papers) and Cell Adhesion Molecules Research (5 papers). Gin-Wen Chang collaborates with scholars based in Taiwan, United Kingdom and The Netherlands. Gin-Wen Chang's co-authors include Eamonn R. Maher, Peter J. Ratcliffe, Steven C. Clifford, Matthew E. Cockman, Patrick H. Maxwell, Christopher W. Pugh, Charles C. Wykoff, Michael S. Wiesener, Norma Masson and David R. Mole and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

Co-authorship network of co-authors of Gin-Wen Chang i

Fields of papers citing papers by Gin-Wen Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gin-Wen Chang

Since Specialization
Citations

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

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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