Jon W. Rueckemann

12 total papers · 517 total citations
6 papers, 224 citations indexed

About

Jon W. Rueckemann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jon W. Rueckemann has authored 6 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Jon W. Rueckemann's work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (3 papers). Jon W. Rueckemann is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (5 papers) and Neural dynamics and brain function (3 papers). Jon W. Rueckemann collaborates with scholars based in United States, New Zealand and United Kingdom. Jon W. Rueckemann's co-authors include Howard Eichenbaum, Elizabeth A. Buffalo, Lara M. Rangel, James B. Priestley, Marielena Sosa, Lisa M. Giocomo, Edward S. Boyden, Xue Han, Blake Porter and Pamela D. Rivière and has published in prestigious journals such as Neuron, Nature reviews. Neuroscience and eLife.

In The Last Decade

Jon W. Rueckemann

6 papers receiving 219 citations

Author Peers

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

Author Last Decade Papers Cites
Jon W. Rueckemann 207 169 26 20 12 6 224
Alice Alvernhe 259 1.3× 191 1.1× 39 1.5× 28 1.4× 13 1.1× 6 294
Pamela D. Rivière 281 1.4× 189 1.1× 24 0.9× 28 1.4× 19 1.6× 6 299
Daniel Avesar 173 0.8× 230 1.4× 20 0.8× 14 0.7× 10 0.8× 6 286
Gaëtan de Lavilléon 228 1.1× 146 0.9× 26 1.0× 12 0.6× 18 1.5× 5 281
Laurenz Muessig 171 0.8× 152 0.9× 16 0.6× 29 1.4× 12 1.0× 7 207
Larry Abbott 159 0.8× 148 0.9× 16 0.6× 28 1.4× 9 0.8× 7 214
William N. Butler 201 1.0× 123 0.7× 35 1.3× 22 1.1× 11 0.9× 8 226
Tsuneyuki Kobayashi 216 1.0× 207 1.2× 20 0.8× 22 1.1× 25 2.1× 11 318
Hayley M. Reeve 199 1.0× 161 1.0× 7 0.3× 17 0.8× 16 1.3× 6 250
Ningyu Zhang 154 0.7× 81 0.5× 20 0.8× 16 0.8× 8 0.7× 6 202

Countries citing papers authored by Jon W. Rueckemann

Since Specialization
Citations

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

Fields of papers citing papers by Jon W. Rueckemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon W. Rueckemann. 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 Jon W. Rueckemann. The network helps show where Jon W. Rueckemann may publish in the future.

Co-authorship network of co-authors of Jon W. Rueckemann

This figure shows the co-authorship network connecting the top 25 collaborators of Jon W. Rueckemann. A scholar is included among the top collaborators of Jon W. Rueckemann 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 Jon W. Rueckemann. Jon W. Rueckemann 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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