Sinotech Genomics (China)

245 papers and 4.5k indexed citations i.

About

In recent decades, authors affiliated with Sinotech Genomics (China) have published 245 papers, which have received a total of 4.5k indexed citations. Scholars at this organization have produced 87 papers in Molecular Biology, 54 papers in Cancer Research and 35 papers in Oncology on the topics of Cancer Genomics and Diagnostics (40 papers), Prenatal Screening and Diagnostics (23 papers) and Epigenetics and DNA Methylation (21 papers). Their work is cited by papers focused on Molecular Biology (2.0k citations), Cancer Research (555 citations) and Oncology (475 citations). Authors at Sinotech Genomics (China) collaborate with scholars in China, Taiwan and United States and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research. Some of Sinotech Genomics (China)'s most productive authors include Hui Sun, Xijun Wang, Baoxue Ge, Franco Di Padova, Richard J. Ulevitch, Ying Luo, Jiahuai Han, Liguo New, Betty Huang and Hermann Gram.

In The Last Decade

Fields of papers published by authors at Sinotech Genomics (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Sinotech Genomics (China) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Sinotech Genomics (China) at the time of their publication.

Countries citing scholars working at Sinotech Genomics (China)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Sinotech Genomics (China). 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 papers produced at Sinotech Genomics (China) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinotech Genomics (China) 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