Sai Y. Chang

26 total papers · 1.1k total citations
22 papers, 870 citations indexed

About

Sai Y. Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Sai Y. Chang has authored 22 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in Sai Y. Chang's work include Mass Spectrometry Techniques and Applications (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Plant-based Medicinal Research (2 papers). Sai Y. Chang is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Plant-based Medicinal Research (2 papers). Sai Y. Chang collaborates with scholars based in United States, China and United Kingdom. Sai Y. Chang's co-authors include David S. Alberts, Thomas L. Evans, Thomas E. Moon, Susan M. Huang, Andrew Coop, Dean Y. Maeda, Robert E. Zipkin, Timothy J. Petros, Sumner Burstein and Vincenzo Di Marzo and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Cancer.

In The Last Decade

Sai Y. Chang

22 papers receiving 824 citations

Author Peers

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

Author Last Decade Papers Cites
Sai Y. Chang 326 212 130 118 84 22 870
Stephanie Harlfinger 461 1.4× 242 1.1× 110 0.8× 237 2.0× 50 0.6× 13 937
Mitesh Sanghvi 365 1.1× 249 1.2× 159 1.2× 134 1.1× 23 0.3× 29 991
Roberta Ranieri 211 0.6× 430 2.0× 101 0.8× 51 0.4× 53 0.6× 18 784
Carmen Vigo 461 1.4× 137 0.6× 90 0.7× 46 0.4× 30 0.4× 27 883
Helena Pontes 195 0.6× 161 0.8× 171 1.3× 22 0.2× 180 2.1× 17 890
H.-H. Tai 393 1.2× 315 1.5× 67 0.5× 48 0.4× 30 0.4× 30 915
Kedar S. Prabhavalkar 376 1.2× 83 0.4× 92 0.7× 143 1.2× 22 0.3× 32 1.0k
Chunyan Sun 320 1.0× 87 0.4× 44 0.3× 60 0.5× 33 0.4× 29 756
Woo Suk Koh 235 0.7× 350 1.7× 174 1.3× 49 0.4× 15 0.2× 40 915
Chang Chen 186 0.6× 99 0.5× 98 0.8× 46 0.4× 46 0.5× 26 784

Countries citing papers authored by Sai Y. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sai Y. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Y. Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Sai Y. Chang. A scholar is included among the top collaborators of Sai Y. 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 Sai Y. Chang. Sai Y. 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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