Hua‐Kang Wu

15 papers and 346 indexed citations i.

About

Hua‐Kang Wu is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Hua‐Kang Wu has authored 15 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Hematology and 4 papers in Genetics. Recurrent topics in Hua‐Kang Wu’s work include Angiogenesis and VEGF in Cancer (6 papers), Genetic Syndromes and Imprinting (3 papers) and Epigenetics and DNA Methylation (3 papers). Hua‐Kang Wu is often cited by papers focused on Angiogenesis and VEGF in Cancer (6 papers), Genetic Syndromes and Imprinting (3 papers) and Epigenetics and DNA Methylation (3 papers). Hua‐Kang Wu collaborates with scholars based in United States, Canada and China. Hua‐Kang Wu's co-authors include Rosanna Weksberg, Jeremy A. Squire, Mark D. Minden, Changyi Chen, Alan B. Lumsden, Brian S. Conklin, Peter H. Lin, John V. Heymach, Qizhi Yao and Hongli Chen and has published in prestigious journals such as Cancer, Biochemical and Biophysical Research Communications and Cancer Letters.

In The Last Decade

Co-authorship network of co-authors of Hua‐Kang Wu i

Fields of papers citing papers by Hua‐Kang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua‐Kang Wu. 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 Hua‐Kang Wu. The network helps show where Hua‐Kang Wu may publish in the future.

Countries citing papers authored by Hua‐Kang Wu

Since Specialization
Citations

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