Frank Wu

10 papers and 633 indexed citations i.

About

Frank Wu is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Frank Wu has authored 10 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Genetics. Recurrent topics in Frank Wu’s work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Frank Wu is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Frank Wu collaborates with scholars based in United States and Italy. Frank Wu's co-authors include Donald Küfe, Xiangao Sun, Surender Kharbanda, Rakesh Datta, Amy S. Lee, Marcin Filutowicz, Hisashi Shioya, Pradip K. Majumder, Shailendra Kumar and Ralph R. Weichselbaum and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Frank Wu i

Fields of papers citing papers by Frank Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Frank Wu

Since Specialization
Citations

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