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Investigating the genealogy of the literature on digital pathology: a two-dimensional bibliometric approach

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Abstract

The purpose of our study is to investigate the genealogy of the literature on digital pathology (DP) by evaluating the “upstream” (source papers in the field), “midstream” (outstanding papers in the field), and “downstream” (latest papers in the field) of the research field. All analyses are carried out on a complete database, on which we performed cocitation analysis, bibliographic coupling and double-cluster analysis. Our research reveals the integral knowledge structure of DP, which will help researchers understand the trend of DP, accounting for academic prospects regarding the application of DP in clinic. In addition, as a methodological contribution, we propose a two-dimensional bibliometric approach.

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Acknowledgements

This work received financial support from the Fundamental Research Funds for the Central Universities (N171904006, N171902001, N172410006-2).

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Authors and Affiliations

  1. College of Medicine and Biological Information Engineering, Northeastern University, No.500 Wisdom Street, Shenyang, 110169, China

    Dayu Hu & Xiaoyu Cui

  2. Key Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, 110169, China

    Xiaoyu Cui

  3. Department of Dermatology, The First Hospital of China Medical University, Shenyang, 110001, China

    Song Zheng

  4. Department of Urology, The First Affiliated Hospital of China Medical University, 155 Nanjing bei Street, Shenyang, 110001, People’s Republic of China

    Chengyuan Wang

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  1. Dayu Hu
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Correspondence to Song Zheng or Xiaoyu Cui.

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Hu, D., Wang, C., Zheng, S. et al. Investigating the genealogy of the literature on digital pathology: a two-dimensional bibliometric approach. Scientometrics 127, 785–801 (2022). https://doi.org/10.1007/s11192-021-04224-2

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