Applied Immunohistochemistry

321 papers and 3.5k indexed citations i.

About

The 321 papers published in Applied Immunohistochemistry in the last decades have received a total of 3.5k indexed citations. Papers published in Applied Immunohistochemistry usually cover Molecular Biology (100 papers), Oncology (100 papers) and Pathology and Forensic Medicine (52 papers) specifically the topics of Lymphoma Diagnosis and Treatment (30 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and HER2/EGFR in Cancer Research (22 papers). The most active scholars publishing in Applied Immunohistochemistry are Timothy J. O’Leary, Daniel A. Arber, Lawrence M. Weiss, Mogens Vyberg, Søren Nielsen, Carlos E. Bacchi, Rodney T. Miller, Richard J. Zarbo, Lambert J. C. M. Van den Broek and Marc J. van de Vijver.

In The Last Decade

Fields of papers published in Applied Immunohistochemistry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Applied Immunohistochemistry. 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 Applied Immunohistochemistry.

Countries where authors publish in Applied Immunohistochemistry

Since Specialization
Citations

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