Sijia Huang

24 papers and 1.2k indexed citations i.

About

Sijia Huang is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sijia Huang has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sijia Huang’s work include Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (4 papers). Sijia Huang is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (5 papers) and Gene expression and cancer classification (4 papers). Sijia Huang collaborates with scholars based in United States, China and South Korea. Sijia Huang's co-authors include Lana X. Garmire, Kumardeep Chaudhary, Lana X. Garmire, Travers Ching, Olivier Poirion, Zheng Jing, Xun Zhu, Nathan E. Lewis, Wei Jia and Guoxiang Xie and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Sijia Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sijia Huang

Since Specialization
Citations

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