Sijia Na

18 papers and 313 indexed citations i.

About

Sijia Na is a scholar working on Molecular Biology, Cancer Research and Urology. According to data from OpenAlex, Sijia Na has authored 18 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Urology. Recurrent topics in Sijia Na’s work include Periodontal Regeneration and Treatments (5 papers), Cell Adhesion Molecules Research (4 papers) and Mesenchymal stem cell research (3 papers). Sijia Na is often cited by papers focused on Periodontal Regeneration and Treatments (5 papers), Cell Adhesion Molecules Research (4 papers) and Mesenchymal stem cell research (3 papers). Sijia Na collaborates with scholars based in China, United States and Yemen. Sijia Na's co-authors include Fang Huang, Weiqi Wang, Yin Ding, Yan Jin, Hao Zhang, Jie Zhang, Shuting Pan, Min Zhai, Miao Yu and Caiyue Liu and has published in prestigious journals such as Oncogene, Bone and Cells.

In The Last Decade

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

Fields of papers citing papers by Sijia Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sijia Na

Since Specialization
Citations

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