Robert G. Poston

10 total papers · 640 total citations
6 papers, 354 citations indexed

About

Robert G. Poston is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Robert G. Poston has authored 6 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Robert G. Poston's work include Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Toxic Organic Pollutants Impact (2 papers). Robert G. Poston is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers) and Toxic Organic Pollutants Impact (2 papers). Robert G. Poston collaborates with scholars based in United States. Robert G. Poston's co-authors include Ramendra N. Saha, Carissa J. Dunn, James M. Ward, Nicholas R. DeStefino, Jin-Hyung Cho, Sarah Chang, Serena M. Dudek, Richard D. Jones, Jesse Gray and Mark L. Andermann and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and International Journal of Environmental Research and Public Health.

In The Last Decade

Robert G. Poston

6 papers receiving 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert G. Poston 186 124 39 38 38 6 354
Mary Rose Bufalino 158 0.8× 184 1.5× 21 0.5× 38 1.0× 18 0.5× 7 375
Hideaki Tomita 143 0.8× 59 0.5× 21 0.5× 38 1.0× 22 0.6× 12 365
Charles Hevi 100 0.5× 133 1.1× 44 1.1× 35 0.9× 13 0.3× 7 313
Sridhara Chakravarthy 146 0.8× 161 1.3× 13 0.3× 75 2.0× 19 0.5× 10 331
Natalie E. Patzlaff 232 1.2× 126 1.0× 13 0.3× 18 0.5× 24 0.6× 10 338
Yung-Wei Pan 125 0.7× 155 1.3× 38 1.0× 49 1.3× 75 2.0× 10 400
Hanako Shikimi 91 0.5× 147 1.2× 38 1.0× 25 0.7× 57 1.5× 7 402
Hanna Silberberg 184 1.0× 159 1.3× 16 0.4× 39 1.0× 20 0.5× 12 318
Mina Delawary 178 1.0× 151 1.2× 10 0.3× 46 1.2× 25 0.7× 13 393
Yusuke Komatsu 189 1.0× 217 1.8× 19 0.5× 101 2.7× 23 0.6× 11 397

Countries citing papers authored by Robert G. Poston

Since Specialization
Citations

This map shows the geographic impact of Robert G. Poston'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 Robert G. Poston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Poston more than expected).

Fields of papers citing papers by Robert G. Poston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Poston. 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 Robert G. Poston. The network helps show where Robert G. Poston may publish in the future.

Co-authorship network of co-authors of Robert G. Poston

This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Poston. A scholar is included among the top collaborators of Robert G. Poston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert G. Poston. Robert G. Poston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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