Journal of Pathology Informatics

759 papers and 12.6k indexed citations i.

About

The 759 papers published in Journal of Pathology Informatics in the last decades have received a total of 12.6k indexed citations. Papers published in Journal of Pathology Informatics usually cover Artificial Intelligence (455 papers), Radiology, Nuclear Medicine and Imaging (213 papers) and Molecular Biology (147 papers) specifically the topics of AI in cancer detection (433 papers), Radiomics and Machine Learning in Medical Imaging (138 papers) and Cell Image Analysis Techniques (130 papers). The most active scholars publishing in Journal of Pathology Informatics are Liron Pantanowitz, Anant Madabhushi, Andrew Janowczyk, Anil V. Parwani, Hamid R. Tizhoosh, Humayun Irshad, Christopher Naugler, Yukako Yagi, Eric Cosatto and D.M. Jukic.

In The Last Decade

Fields of papers published in Journal of Pathology Informatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Pathology Informatics. 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 Journal of Pathology Informatics.

Countries where authors publish in Journal of Pathology Informatics

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Pathology Informatics. 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 Journal of Pathology Informatics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Pathology Informatics 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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