Philip Tovote

5.8k total citations · 4 hit papers
39 papers, 4.0k citations indexed

About

Philip Tovote is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Philip Tovote has authored 39 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cellular and Molecular Neuroscience, 18 papers in Cognitive Neuroscience and 14 papers in Social Psychology. Recurrent topics in Philip Tovote's work include Neuroendocrine regulation and behavior (14 papers), Stress Responses and Cortisol (12 papers) and Memory and Neural Mechanisms (12 papers). Philip Tovote is often cited by papers focused on Neuroendocrine regulation and behavior (14 papers), Stress Responses and Cortisol (12 papers) and Memory and Neural Mechanisms (12 papers). Philip Tovote collaborates with scholars based in Germany, United States and Switzerland. Philip Tovote's co-authors include Andreas Lüthi, Jonathan P. Fadok, Steffen B. E. Wolff, Cyril Herry, Johannes J. Letzkus, Julien Courtin, Milica Marković, E. Meyer, Paolo Botta and Christian Müller and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Philip Tovote

36 papers receiving 4.0k citations

Hit Papers

Neuronal circuits for fear and anxiety 2011 2026 2016 2021 2015 2011 2016 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Tovote Germany 20 2.4k 2.2k 912 871 642 39 4.0k
Jonathan P. Fadok United States 18 2.4k 1.0× 2.2k 1.0× 959 1.1× 864 1.0× 862 1.3× 28 4.0k
Stéphane Ciocchi Switzerland 13 2.4k 1.0× 2.2k 1.0× 924 1.0× 1.0k 1.2× 538 0.8× 21 3.5k
Joel Finkelstein United States 8 2.2k 0.9× 2.5k 1.1× 855 0.9× 516 0.6× 1.0k 1.6× 10 4.6k
Steffen B. E. Wolff United States 19 2.6k 1.1× 2.5k 1.1× 706 0.8× 602 0.7× 720 1.1× 24 3.9k
Sevil Duvarci United States 21 2.1k 0.9× 1.7k 0.8× 713 0.8× 879 1.0× 421 0.7× 26 3.0k
Thomas Seidenbecher Germany 30 2.3k 1.0× 2.2k 1.0× 519 0.6× 701 0.8× 645 1.0× 55 3.5k
Deqiang Jing United States 22 1.3k 0.5× 2.4k 1.1× 602 0.7× 937 1.1× 845 1.3× 35 4.6k
Avishek Adhikari United States 24 2.4k 1.0× 3.0k 1.4× 1.2k 1.3× 988 1.1× 1.3k 2.0× 33 5.6k
Natalie C. Tronson United States 27 1.5k 0.6× 1.5k 0.7× 614 0.7× 687 0.8× 675 1.1× 43 2.9k
Joshua P. Johansen Japan 22 2.7k 1.1× 2.4k 1.1× 707 0.8× 827 0.9× 785 1.2× 36 4.4k

Countries citing papers authored by Philip Tovote

Since Specialization
Citations

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

Fields of papers citing papers by Philip Tovote

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Tovote. 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 Philip Tovote. The network helps show where Philip Tovote may publish in the future.

Co-authorship network of co-authors of Philip Tovote

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Tovote. A scholar is included among the top collaborators of Philip Tovote 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 Philip Tovote. Philip Tovote 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.
Rodriguez-Rozada, Silvia & Philip Tovote. (2025). Central regulation of cardio-behavioral responses: Circuit engagement during aversive emotional states. Current Opinion in Neurobiology. 94. 103105–103105.
2.
Peach, Robert L., et al.. (2024). Enhancing security in brain–computer interface applications with deep learning: Electroencephalogram-based user identification. Expert Systems with Applications. 253. 124218–124218. 4 indexed citations
3.
Stein, Nikolai, et al.. (2023). Deep learning-enabled segmentation of ambiguous bioimages with deepflash2. Nature Communications. 14(1). 1679–1679. 10 indexed citations
4.
Deisseroth, Karl, et al.. (2023). Integrated cardio-behavioral responses to threat define defensive states. Nature Neuroscience. 26(3). 447–457. 27 indexed citations
5.
Rodriguez-Rozada, Silvia, Stefan Frantz, & Philip Tovote. (2023). Cardiac optogenetics: regulating brain states via the heart. Signal Transduction and Targeted Therapy. 8(1). 324–324.
6.
Tovote, Philip, et al.. (2023). Cerebellar contribution to the regulation of defensive states. Frontiers in Systems Neuroscience. 17. 1160083–1160083. 8 indexed citations
7.
Schulte, Clemens, Orly Avraham, Cataldo Schietroma, et al.. (2022). A Versatile Synthetic Affinity Probe Reveals Inhibitory Synapse Ultrastructure and Brain Connectivity**. Angewandte Chemie International Edition. 61(30). e202202078–e202202078. 7 indexed citations
8.
Peng, Yangfan, et al.. (2022). Current approaches to characterize micro- and macroscale circuit mechanisms of Parkinson’s disease in rodent models. Experimental Neurology. 351. 114008–114008. 8 indexed citations
9.
Whittle, Nigel, Jonathan P. Fadok, Kathryn P. MacPherson, et al.. (2021). Central amygdala micro-circuits mediate fear extinction. Nature Communications. 12(1). 4156–4156. 49 indexed citations
10.
Pernía‐Andrade, Alejandro J., Nikolaus Wenger, Maria Soledad Esposito, & Philip Tovote. (2021). Circuits for State-Dependent Modulation of Locomotion. Frontiers in Human Neuroscience. 15. 745689–745689. 23 indexed citations
11.
Knörr, Susanne, Robert L. Peach, Thomas Ott, et al.. (2021). The evolution of dystonia-like movements in TOR1A rats after transient nerve injury is accompanied by dopaminergic dysregulation and abnormal oscillatory activity of a central motor network. Neurobiology of Disease. 154. 105337–105337. 24 indexed citations
12.
Schaefer, Natascha, et al.. (2020). Anxiety and Startle Phenotypes in Glrb Spastic and Glra1 Spasmodic Mouse Mutants. Frontiers in Molecular Neuroscience. 13. 152–152. 9 indexed citations
14.
Tovote, Philip, Maria Soledad Esposito, Paolo Botta, et al.. (2016). Midbrain circuits for defensive behaviour. Nature. 534(7606). 206–212. 502 indexed citations breakdown →
15.
Tovote, Philip, Jonathan P. Fadok, & Andreas Lüthi. (2015). Neuronal circuits for fear and anxiety. Nature reviews. Neuroscience. 16(6). 317–331. 1220 indexed citations breakdown →
16.
Rubehn, Birthe, Steffen B. E. Wolff, Philip Tovote, et al.. (2011). Polymer-based shaft microelectrodes with optical and fluidic capabilities as a tool for optogenetics. PubMed. 2011. 2969–2972. 12 indexed citations
17.
Yang, Lizhen, Philip Tovote, Martin D. Rayner, et al.. (2010). Corticotropin-releasing factor receptors and urocortins, links between the brain and the heart. European Journal of Pharmacology. 632(1-3). 1–6. 34 indexed citations
18.
19.
Stiedl, Oliver, Philip Tovote, Sven Ove Ögren, & Michaël Meyer. (2004). Behavioral and autonomic dynamics during contextual fear conditioning in mice. Autonomic Neuroscience. 115(1-2). 15–27. 36 indexed citations
20.
Tovote, Philip, Michaël Meyer, Annette G. Beck‐Sickinger, et al.. (2004). Central NPY receptor-mediated alteration of heart rate dynamics in mice during expression of fear conditioned to an auditory cue. Regulatory Peptides. 120(1-3). 205–214. 35 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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