Volume 7 Issue 1
Jun.  2023
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Dezhi Huang, Yang Gou, Xiaoqi Wang, Qiong Li, Xinlei Li, Naya Ma, Yishuo Duan, Jun Rao, Xi Zhang. A bibliometric analysis and visualization of spatially resolved transcriptomics[J]. Blood&Genomics, 2023, 7(1): 22-33. doi: 10.46701/BG.2023012023006
Citation: Dezhi Huang, Yang Gou, Xiaoqi Wang, Qiong Li, Xinlei Li, Naya Ma, Yishuo Duan, Jun Rao, Xi Zhang. A bibliometric analysis and visualization of spatially resolved transcriptomics[J]. Blood&Genomics, 2023, 7(1): 22-33. doi: 10.46701/BG.2023012023006

A bibliometric analysis and visualization of spatially resolved transcriptomics

doi: 10.46701/BG.2023012023006
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  • Corresponding author: Jun Rao and Xi Zhang, Medical Center of Hematology, Xinqiao Hospital, Army Medical University, 83 Xinqiaozheng Street, Shapingba District, Chongqing 400037, China. E-mails: raojun1129@126.com and zhangxxi@sina.com
  • Received Date: 2023-03-04
  • Rev Recd Date: 2023-04-23
  • Accepted Date: 2023-06-08
  • Available Online: 2023-07-05
  • Publish Date: 2023-06-30
  • This research aims to analyze the research status, hotspots, and future development trends of spatially resolved transcriptomics (SRT). We obtained research publications on SRT from the Web of Science Core Collection (WoSCC) database and performed graph analyses with VOSviewer and OriginPro 2018. Included was a total of 2022 papers, involving 13234 researchers from 2105 institutions in 75 countries. The publication status and characteristics of countries, institutions, authors, and co-occurrence keywords were conducted by bibliometric analysis. The leaders in this field were the United States and Sweden, while China and India were the largest contributors among developing countries. SRT and single-cell sequencing are closely combined. The development of SRT itself, tumor-relevant research, and brain science, are the research hotspots of the present and foreseeable future. The development of bioinformatics facilitates the analytical applications of SRT. SRT and temporal dynamics should be closely combined. Future development in SRT is not only aimed at achieving high throughput and high resolution, but also dedicated to making it cost-effective, simple, rapid, and easy to use. Spatially resolved transcriptomics should be promoted from scientific research to clinical application as soon as possible in order to provide accurate diagnoses and individualized treatment for patients.


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