Howard H. Song

6 papers and 851 indexed citations i.

About

Howard H. Song is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Howard H. Song has authored 6 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Howard H. Song’s work include Fibroblast Growth Factor Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Howard H. Song is often cited by papers focused on Fibroblast Growth Factor Research (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Howard H. Song collaborates with scholars based in Canada and United States. Howard H. Song's co-authors include Jorge Filmus, Wen Shi, Yun‐Yan Xiang, Linda Z. Penn, Joseph R. Testa, Mitsunori Kaya, Huiling Yang, Tak W. Mak, Gina Lockwood and Shawn Soon and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Journal of Chromatography A.

In The Last Decade

Co-authorship network of co-authors of Howard H. Song i

Fields of papers citing papers by Howard H. Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard H. Song. 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 Howard H. Song. The network helps show where Howard H. Song may publish in the future.

Countries citing papers authored by Howard H. Song

Since Specialization
Citations

This map shows the geographic impact of Howard H. Song'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 Howard H. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard H. Song 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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2025