Shing Chang

13 total papers · 1.2k total citations
9 papers, 1000 citations indexed

About

Shing Chang is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Shing Chang has authored 9 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biotechnology. Recurrent topics in Shing Chang's work include Bacterial Genetics and Biotechnology (3 papers), Enzyme Catalysis and Immobilization (2 papers) and Enzyme Production and Characterization (2 papers). Shing Chang is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Enzyme Catalysis and Immobilization (2 papers) and Enzyme Production and Characterization (2 papers). Shing Chang collaborates with scholars based in Taiwan, United States and United Kingdom. Shing Chang's co-authors include Stanley N. Cohen, Marie‐Joëlle Virolle, Mervyn J. Bibb, Christopher M. Long, Jane R. McLaughlin, Tien‐Chun Chang, Hsiao-Chi Hsieh, S W How, Chiung‐Yu Chen and Kang Liao and has published in prestigious journals such as Nucleic Acids Research, Methods in enzymology on CD-ROM/Methods in enzymology and Gene.

In The Last Decade

Shing Chang

8 papers receiving 825 citations

Hit Papers

High frequency transforma... 1979 2026 1994 2010 1979 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shing Chang 686 526 334 276 108 9 1000
Stuart F. J. LeGrice 782 1.1× 596 1.1× 282 0.8× 103 0.4× 116 1.1× 10 1.0k
Jean‐Yves F. Dubois 721 1.1× 407 0.8× 269 0.8× 188 0.7× 83 0.8× 17 1.1k
S Horinouchi 880 1.3× 494 0.9× 288 0.9× 128 0.5× 162 1.5× 15 1.2k
David Noone 623 0.9× 643 1.2× 364 1.1× 132 0.5× 142 1.3× 23 1.0k
Harold M. Pooley 706 1.0× 580 1.1× 405 1.2× 146 0.5× 95 0.9× 24 1.1k
Blazenka Soldo 541 0.8× 405 0.8× 332 1.0× 114 0.4× 92 0.9× 17 824
Amy L. Decatur 390 0.6× 366 0.7× 252 0.8× 277 1.0× 66 0.6× 11 818
B Gicquel-Sanzey 657 1.0× 385 0.7× 162 0.5× 217 0.8× 74 0.7× 11 941
Gregory L. Gray 693 1.0× 345 0.7× 134 0.4× 237 0.9× 84 0.8× 16 1.0k
Marie‐Francoise Hullo 591 0.9× 282 0.5× 186 0.6× 209 0.8× 51 0.5× 12 1.1k

Countries citing papers authored by Shing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shing Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Shing Chang. A scholar is included among the top collaborators of Shing 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 Shing Chang. Shing Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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