Communications Biology

7.4k papers and 101.8k indexed citations

About

The 7.4k papers published in Communications Biology in the last decades have received a total of 101.8k indexed citations. Papers published in Communications Biology usually cover Molecular Biology (3.6k papers), Genetics (842 papers) and Cognitive Neuroscience (712 papers) specifically the topics of Neural dynamics and brain function (355 papers), RNA modifications and cancer (273 papers) and Single-cell and spatial transcriptomics (248 papers). The most active scholars publishing in Communications Biology are Alan Herbert, Carlos Óscar S. Sorzano, Rubén Sánchez-García, Ana Cuervo, Javier Vargas, Josué Gómez-Blanco, J.M. Carazo, Melinda Mills, Charles Rahal and Uroš Cvelbar.

In The Last Decade

Communications Biology

6.6k papers receiving 100.3k citations

Fields of papers published in Communications Biology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Communications Biology. 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 Communications Biology.

Countries where authors publish in Communications Biology

Since Specialization
Citations

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