Robert K. Naumann

1.8k total citations
28 papers, 1.1k citations indexed

About

Robert K. Naumann is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Robert K. Naumann has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cellular and Molecular Neuroscience, 19 papers in Cognitive Neuroscience and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Robert K. Naumann's work include Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). Robert K. Naumann is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Memory and Neural Mechanisms (12 papers) and Neural dynamics and brain function (10 papers). Robert K. Naumann collaborates with scholars based in Germany, China and United States. Robert K. Naumann's co-authors include Michael Brecht, Tracy Yamawaki, Gilles Laurent, Maria Antonietta Tosches, Saikat Ray, Andrea Burgalossi, Georgi Tushev, Qiusong Tang, Helene Schmidt and Kenneth A. Schmidt and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Robert K. Naumann

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert K. Naumann Germany 16 540 488 213 152 146 28 1.1k
Adhil Bhagwandin South Africa 19 481 0.9× 469 1.0× 126 0.6× 102 0.7× 185 1.3× 75 1.1k
Estel Van der Gucht Belgium 16 416 0.8× 293 0.6× 237 1.1× 167 1.1× 72 0.5× 30 997
Muhammad A. Spocter United States 18 419 0.8× 262 0.5× 132 0.6× 106 0.7× 86 0.6× 48 1.2k
Dominic D. Frank United States 8 244 0.5× 669 1.4× 137 0.6× 106 0.7× 117 0.8× 12 873
Anders Enjin Sweden 15 244 0.5× 770 1.6× 316 1.5× 85 0.6× 133 0.9× 19 1.2k
Nina Patzke South Africa 21 360 0.7× 331 0.7× 91 0.4× 108 0.7× 163 1.1× 46 946
Maria Antonietta Tosches Germany 14 253 0.5× 377 0.8× 533 2.5× 127 0.8× 193 1.3× 22 1.2k
Harald Luksch Germany 23 535 1.0× 778 1.6× 567 2.7× 188 1.2× 264 1.8× 86 1.8k
Krzysztof Turlejski Poland 18 365 0.7× 466 1.0× 260 1.2× 63 0.4× 85 0.6× 67 1.1k
Sophie Scotto‐Lomassese France 14 171 0.3× 461 0.9× 227 1.1× 75 0.5× 151 1.0× 19 861

Countries citing papers authored by Robert K. Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert K. Naumann

This figure shows the co-authorship network connecting the top 25 collaborators of Robert K. Naumann. A scholar is included among the top collaborators of Robert K. Naumann 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 K. Naumann. Robert K. Naumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wang, Ziyue, et al.. (2024). Chemogenetic Modulation of Preoptic Gabre Neurons Decreases Body Temperature and Heart Rate. International Journal of Molecular Sciences. 25(23). 13061–13061.
3.
Li, Miao, Lixin Yang, Saikat Ray, et al.. (2023). A novel rat model of Dravet syndrome recapitulates clinical hallmarks. Neurobiology of Disease. 184. 106193–106193. 6 indexed citations
4.
Naumann, Robert K., et al.. (2022). Juxtacellular opto-tagging of hippocampal CA1 neurons in freely moving mice. eLife. 11. 12 indexed citations
5.
Alonso‐Nanclares, Lidia, José-Rodrigo Rodrı́guez, Ángel Merchán-Pérez, et al.. (2022). Cortical synapses of the world's smallest mammal: An FIB/SEM study in the Etruscan shrew. The Journal of Comparative Neurology. 531(3). 390–414. 10 indexed citations
6.
Fang, Chao, Hong Wang, & Robert K. Naumann. (2021). Developmental Patterning and Neurogenetic Gradients of Nurr1 Positive Neurons in the Rat Claustrum and Lateral Cortex. Frontiers in Neuroanatomy. 15. 786329–786329. 9 indexed citations
7.
Ray, Saikat, Miao Li, Stefan Koch, et al.. (2020). Seasonal plasticity in the adult somatosensory cortex. Proceedings of the National Academy of Sciences. 117(50). 32136–32144. 15 indexed citations
8.
Clemens, Ann M., Constanze Lenschow, Prateep Beed, et al.. (2019). Estrus-Cycle Regulation of Cortical Inhibition. Current Biology. 29(4). 605–615.e6. 74 indexed citations
9.
Tosches, Maria Antonietta, et al.. (2018). Evolution of pallium, hippocampus, and cortical cell types revealed by single-cell transcriptomics in reptiles. Science. 360(6391). 881–888. 292 indexed citations
10.
Clemens, Ann M., Constanze Lenschow, Prateep Beed, et al.. (2018). Estrus-Cycle Regulation of Cortical Inhibition. SSRN Electronic Journal. 1 indexed citations
11.
Ray, Saikat, Andrea Burgalossi, Michael Brecht, & Robert K. Naumann. (2017). Complementary Modular Microcircuits of the Rat Medial Entorhinal Cortex. Frontiers in Systems Neuroscience. 11. 20–20. 16 indexed citations
12.
Reiter, Sam, Hua-Peng Liaw, Tracy Yamawaki, Robert K. Naumann, & Gilles Laurent. (2017). On the Value of Reptilian Brains to Map the Evolution of the Hippocampal Formation. Brain Behavior and Evolution. 90(1). 41–52. 23 indexed citations
13.
Tang, Qiusong, Andrea Burgalossi, Christian L. Ebbesen, et al.. (2016). Functional Architecture of the Rat Parasubiculum. Journal of Neuroscience. 36(7). 2289–2301. 41 indexed citations
14.
Naumann, Robert K.. (2015). Even the Smallest Mammalian Brain Has Yet to Reveal Its Secrets. Brain Behavior and Evolution. 85(1). 1–3. 7 indexed citations
15.
Naumann, Robert K., Janie M. Ondracek, Mark Shein‐Idelson, et al.. (2015). The reptilian brain. Current Biology. 25(8). R317–R321. 79 indexed citations
16.
Tang, Qiusong, Christian L. Ebbesen, Juan Ignacio Sanguinetti-Scheck, et al.. (2015). Anatomical Organization and Spatiotemporal Firing Patterns of Layer 3 Neurons in the Rat Medial Entorhinal Cortex. Journal of Neuroscience. 35(36). 12346–12354. 36 indexed citations
17.
Ray, Saikat, Robert K. Naumann, Andrea Burgalossi, et al.. (2014). Grid-Layout and Theta-Modulation of Layer 2 Pyramidal Neurons in Medial Entorhinal Cortex. Science. 343(6173). 891–896. 135 indexed citations
18.
Tang, Qiusong, Andrea Burgalossi, Christian L. Ebbesen, et al.. (2014). Pyramidal and Stellate Cell Specificity of Grid and Border Representations in Layer 2 of Medial Entorhinal Cortex. Neuron. 84(6). 1191–1197. 79 indexed citations
19.
Naumann, Robert K., et al.. (2012). Cytoarchitecture, areas, and neuron numbers of the Etruscan Shrew cortex. The Journal of Comparative Neurology. 520(11). 2512–2530. 28 indexed citations
20.
Brecht, Michael, et al.. (2011). The neurobiology of Etruscan shrew active touch. Philosophical Transactions of the Royal Society B Biological Sciences. 366(1581). 3026–3036. 23 indexed citations

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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