International Journal of Experimental Pathology · 1×
×1.13k/3kCR
×1.25k/4kONCOL
×1.04k/4kIMMUN
×0.78k/11kMB
×0.7610/864IA
Citations per year
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Countries where authors publish in Pathobiology
Since Specialization
Citations
This map shows the geographic impact of research published in Pathobiology. 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 Pathobiology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pathobiology more than expected).
This network shows the impact of papers published in Pathobiology. 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 Pathobiology.
About Pathobiology
The 1.4k papers published in Pathobiology in the last decades have received a total of 27.1k indexed citations . Papers published in Pathobiology usually cover Immunology (222 papers), Virology (49 papers), Cancer Research (127 papers), Immunology and Allergy (47 papers) and Oncology (186 papers) specifically the topics of Immune Cell Function and Interaction (71 papers), Immune Response and Inflammation (53 papers), Immunotherapy and Immune Responses (51 papers), HIV Research and Treatment (47 papers), Cell Adhesion Molecules Research (42 papers), Cancer Genomics and Diagnostics (42 papers), Immune cells in cancer (34 papers) and T-cell and B-cell Immunology (32 papers). The most active scholars publishing in Pathobiology are B. Klosterhalfen, Joon-Keun Park, U. Klinge, Alexandar Tzankov, Menashe Bar‐Eli, Andrea Hoffmann, Gerhard Groß, Jonathan L Miller, Geoffrey D. Wool and Peter Valent.
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.