Cell and Tissue Research

17.9k papers and 524.5k indexed citations i.

About

The 17.9k papers published in Cell and Tissue Research in the last decades have received a total of 524.5k indexed citations. Papers published in Cell and Tissue Research usually cover Molecular Biology (6.4k papers), Cellular and Molecular Neuroscience (4.7k papers) and Cell Biology (2.4k papers) specifically the topics of Neurobiology and Insect Physiology Research (2.1k papers), Neuropeptides and Animal Physiology (1.1k papers) and Neuroscience and Neuropharmacology Research (845 papers). The most active scholars publishing in Cell and Tissue Research are Kjell Fuxé, John B. Furness, K. H. Andres, Heiko Braak, Ruud M. Buijs, Oliver von Bohlen und Halbach, K. Dierickx, F. Sundler, Giorgio Gabella and W. Bargmann.

In The Last Decade

Fields of papers published in Cell and Tissue Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Cell and Tissue Research. 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 Cell and Tissue Research.

Countries where authors publish in Cell and Tissue Research

Since Specialization
Citations

This map shows the geographic impact of research published in Cell and Tissue Research. 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 Cell and Tissue Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cell and Tissue Research 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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2025