Sum Chan

41 total papers · 1.5k total citations
24 papers, 1.1k citations indexed

About

Sum Chan is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Sum Chan has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Materials Chemistry. Recurrent topics in Sum Chan’s work include Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Tuberculosis Research and Epidemiology (4 papers). Sum Chan is often cited by papers focused on Enzyme Structure and Function (6 papers), Bacterial Genetics and Biotechnology (6 papers) and Tuberculosis Research and Epidemiology (4 papers). Sum Chan collaborates with scholars based in United States, Canada and China. Sum Chan's co-authors include F. Robert Tabita, Sriram Satagopan, Jaya Singh, Huiying Li, Thomas E. Hanson, Mark A. Arbing, L. Jeanne Perry, Duilio Cascio, Alexander S. Garruss and Sriram Kosuri and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

Co-authorship network of co-authors of Sum Chan

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

Sum Chan

23 papers receiving 1.1k citations

Fields of papers citing papers by Sum Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sum Chan

Since Specialization
Citations

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