Hai Yang Law

21 papers and 471 indexed citations i.

About

Hai Yang Law is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Hai Yang Law has authored 21 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Hematology. Recurrent topics in Hai Yang Law’s work include Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers) and Genetic factors in colorectal cancer (3 papers). Hai Yang Law is often cited by papers focused on Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers) and Genetic factors in colorectal cancer (3 papers). Hai Yang Law collaborates with scholars based in Singapore, United States and United Kingdom. Hai Yang Law's co-authors include Ene‐Choo Tan, Eileen C.P. Lim, Yvonne Lim, Ruth Landau, Yik-Ying Teo, Alex Tiong Heng Sia, Walter F. Bodmer, D C Skegg, John D. Mathews and Gay Hui Ho and has published in prestigious journals such as PLoS ONE, Cancer Research and Cancer.

In The Last Decade

Co-authorship network of co-authors of Hai Yang Law i

Fields of papers citing papers by Hai Yang Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Yang Law. 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 Hai Yang Law. The network helps show where Hai Yang Law may publish in the future.

Countries citing papers authored by Hai Yang Law

Since Specialization
Citations

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