Shaw‐Hwa Lo

49 papers and 898 indexed citations i.

About

Shaw‐Hwa Lo is a scholar working on Genetics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Shaw‐Hwa Lo has authored 49 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 15 papers in Molecular Biology and 14 papers in Artificial Intelligence. Recurrent topics in Shaw‐Hwa Lo’s work include Genetic Associations and Epidemiology (20 papers), Statistical Methods and Inference (13 papers) and Bioinformatics and Genomic Networks (9 papers). Shaw‐Hwa Lo is often cited by papers focused on Genetic Associations and Epidemiology (20 papers), Statistical Methods and Inference (13 papers) and Bioinformatics and Genomic Networks (9 papers). Shaw‐Hwa Lo collaborates with scholars based in United States, Hong Kong and Taiwan. Shaw‐Hwa Lo's co-authors include Tian Zheng, Kesar Singh, Herman Chernoff, Adeline Lo, Kani Chen, Min‐Te Chao, Donna Mancini, Ronald B. Staron, Inchi Hu and Elizabeth Shane and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Shaw‐Hwa Lo i

Fields of papers citing papers by Shaw‐Hwa Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaw‐Hwa Lo. 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 Shaw‐Hwa Lo. The network helps show where Shaw‐Hwa Lo may publish in the future.

Countries citing papers authored by Shaw‐Hwa Lo

Since Specialization
Citations

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