ACS Chemical Neuroscience

3.9k papers and 86.0k indexed citations i.

About

The 3.9k papers published in ACS Chemical Neuroscience in the last decades have received a total of 86.0k indexed citations. Papers published in ACS Chemical Neuroscience usually cover Molecular Biology (1.9k papers), Cellular and Molecular Neuroscience (1.4k papers) and Physiology (1.1k papers) specifically the topics of Alzheimer's disease research and treatments (872 papers), Neuroscience and Neuropharmacology Research (719 papers) and Receptor Mechanisms and Signaling (528 papers). The most active scholars publishing in ACS Chemical Neuroscience are Abdul Mannan Baig, Craig W. Lindsley, Areeba Khaleeq, Hira Syeda, Usman Ali, Rafał Butowt, Travis T. Wager, Patrick R. Verhoest, Xinjun Hou and Anabella Villalobos.

In The Last Decade

Fields of papers published in ACS Chemical Neuroscience

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in ACS Chemical Neuroscience. 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 ACS Chemical Neuroscience.

Countries where authors publish in ACS Chemical Neuroscience

Since Specialization
Citations

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