Countries where authors publish in Acta Biochimica et Biophysica Sinica
Since Specialization
Citations
This map shows the geographic impact of research published in Acta Biochimica et Biophysica Sinica. 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 published in Acta Biochimica et Biophysica Sinica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Acta Biochimica et Biophysica Sinica more than expected).
Fields of papers published in Acta Biochimica et Biophysica Sinica
This network shows the impact of papers published in Acta Biochimica et Biophysica Sinica. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Acta Biochimica et Biophysica Sinica.
About Acta Biochimica et Biophysica Sinica
The 3.3k papers published in Acta Biochimica et Biophysica Sinica in the last decades have received a total of 59.8k indexed citations . Papers published in Acta Biochimica et Biophysica Sinica usually cover Cancer Research (577 papers), Molecular Biology (2.2k papers), Immunology (406 papers), Cell Biology (254 papers) and Oncology (381 papers) specifically the topics of Cancer-related molecular mechanisms research (232 papers), RNA modifications and cancer (227 papers), MicroRNA in disease regulation (216 papers), Circular RNAs in diseases (151 papers), RNA Research and Splicing (143 papers), Epigenetics and DNA Methylation (121 papers), Cancer, Hypoxia, and Metabolism (112 papers) and RNA Interference and Gene Delivery (110 papers). The most active scholars publishing in Acta Biochimica et Biophysica Sinica are Shaoning Yu, Jilie Kong, Ting‐Jun Fan, Xiaoling Li, Jin Liang, Lihui Han, Zhengping Xu, Xiaohua Yan, Ye‐Guang Chen and Ziying Liu.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.