Daniel S. Kerr

9 papers and 493 indexed citations i.

About

Daniel S. Kerr is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel S. Kerr has authored 9 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Molecular Biology. Recurrent topics in Daniel S. Kerr’s work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Daniel S. Kerr is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Daniel S. Kerr collaborates with scholars based in Brazil, Argentina and New Zealand. Daniel S. Kerr's co-authors include Lia R. Bevilaqua, Martı́n Cammarota, Iván Izquierdo, Jorge H. Medina, Juliana Sartori Bonini, Cristiano A. Köhler, Carolina Garrido Zinn, Janine I. Rossato, Paul F. Smith and Noah A. Russell and has published in prestigious journals such as Journal of Neuroscience, Progress in Neurobiology and Psychopharmacology.

In The Last Decade

Co-authorship network of co-authors of Daniel S. Kerr i

Fields of papers citing papers by Daniel S. Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Kerr. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel S. Kerr. The network helps show where Daniel S. Kerr may publish in the future.

Countries citing papers authored by Daniel S. Kerr

Since Specialization
Citations

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