Tina Huang

7 papers and 369 indexed citations i.

About

Tina Huang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tina Huang has authored 7 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Tina Huang’s work include Glioma Diagnosis and Treatment (3 papers), Chromatin Remodeling and Cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Tina Huang is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Chromatin Remodeling and Cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). Tina Huang collaborates with scholars based in United States, Switzerland and China. Tina Huang's co-authors include Amanda Saratsis, Ali Shilatifard, Rishi Lulla, Jin Qi, Andrea Piunti, Craig Horbinski, C. David James, Tadanori Tomita, Jüri Reimand and Michał Krassowski and has published in prestigious journals such as Nucleic Acids Research, Journal of Neuroscience and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Tina Huang i

Fields of papers citing papers by Tina Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tina Huang

Since Specialization
Citations

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