Pathology International

3.4k papers and 62.0k indexed citations
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About

The 3.4k papers published in Pathology International in the last decades have received a total of 62.0k indexed citations. Papers published in Pathology International usually cover Oncology (998 papers), Surgery (923 papers) and Pulmonary and Respiratory Medicine (908 papers) specifically the topics of Sarcoma Diagnosis and Treatment (307 papers), Lymphoma Diagnosis and Treatment (226 papers) and Neuroendocrine Tumor Research Advances (180 papers). The most active scholars publishing in Pathology International are Shinya Toyokuni, Yoshio Oda, Tadashi Terada, Hiroshi Yokozaki, Masashi Fukayama, Yutaka Tsutsumi, Yasuni Nakanuma, Kazuki Nabeshima, Teruo Watanabe and Masaharu Fukunaga.

In The Last Decade

Pathology International

3.3k papers receiving 57.9k citations

Fields of papers published in Pathology International

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Pathology International. 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 Pathology International.

Countries where authors publish in Pathology International

Since Specialization
Citations

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