Alex Proekt

1.7k total citations
36 papers, 1.1k citations indexed

About

Alex Proekt is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Alex Proekt has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 21 papers in Cellular and Molecular Neuroscience and 6 papers in Ecology. Recurrent topics in Alex Proekt's work include Neural dynamics and brain function (25 papers), Neurobiology and Insect Physiology Research (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Alex Proekt is often cited by papers focused on Neural dynamics and brain function (25 papers), Neurobiology and Insect Physiology Research (12 papers) and Neuroscience and Neuropharmacology Research (9 papers). Alex Proekt collaborates with scholars based in United States, France and Argentina. Alex Proekt's co-authors include Klaudiusz R. Weiss, Donald W. Pfaff, Vladimír Březina, Jian Jing, Diany Paola Calderon, Max B. Kelz, Andrew E. Hudson, Yuriy Zhurov, Connor Brennan and Elizabeth C. Cropper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Alex Proekt

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Proekt United States	20	655	546	137	78	76	36	1.1k
Samar Mehta United States	9	953 1.5×	767 1.4×	173 1.3×	34 0.4×	39 0.5×	10	1.4k
Robert N. S. Sachdev United States	25	1.5k 2.3×	1.2k 2.3×	204 1.5×	36 0.5×	10 0.1×	48	2.0k
Eike Budinger Germany	22	1.2k 1.9×	478 0.9×	196 1.4×	63 0.8×	7 0.1×	44	1.9k
Bao-Xia Han United States	14	333 0.5×	377 0.7×	187 1.4×	36 0.5×	26 0.3×	17	905
Ethan B. Richman United States	6	358 0.5×	445 0.8×	162 1.2×	54 0.7×	7 0.1×	7	768
Christine M. Pedroarena Germany	17	786 1.2×	835 1.5×	514 3.8×	13 0.2×	17 0.2×	22	1.5k
Lucy M. Palmer Australia	15	824 1.3×	873 1.6×	185 1.4×	20 0.3×	9 0.1×	26	1.3k
Harald Hentschke Germany	14	637 1.0×	501 0.9×	105 0.8×	9 0.1×	128 1.7×	24	1.0k
Susanne Radtke‐Schuller Germany	19	768 1.2×	288 0.5×	83 0.6×	315 4.0×	7 0.1×	43	1.3k
F. Nagy France	18	248 0.4×	774 1.4×	259 1.9×	68 0.9×	6 0.1×	33	977

Countries citing papers authored by Alex Proekt

Since Specialization

Citations

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

Fields of papers citing papers by Alex Proekt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Proekt

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

All Works

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20 of 20 papers shown

Stone, Martha E., et al.. (2025). A probabilistic model of behavioural emergence from general anaesthesia in mice. British Journal of Anaesthesia. 135(1). 121–133.

Fotiadis, Panagiotis, Andrew R. McKinstry-Wu, Sarah M. Weinstein, et al.. (2025). Changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced loss of consciousness. Communications Biology. 8(1). 1254–1254.

Contreras, Diego, et al.. (2024). Neural assemblies coordinated by cortical waves are associated with waking and hallucinatory brain states. Cell Reports. 43(4). 114017–114017. 3 indexed citations

Brennan, Connor & Alex Proekt. (2023). Attractor dynamics with activity-dependent plasticity capture human working memory across time scales. Communications Psychology. 1(1). 3 indexed citations

Proekt, Alex, et al.. (2020). Activation of Preoptic Tachykinin 1 Neurons Promotes Wakefulness over Sleep and Volatile Anesthetic-Induced Unconsciousness. Current Biology. 31(2). 394–405.e4. 35 indexed citations

McKinstry-Wu, Andrew R., et al.. (2019). Analysis of stochastic fluctuations in responsiveness is a critical step toward personalized anesthesia. eLife. 8. 23 indexed citations

Proekt, Alex, et al.. (2019). Activating an anterior nucleus gigantocellularis subpopulation triggers emergence from pharmacologically-induced coma in rodents. Nature Communications. 10(1). 2897–2897. 33 indexed citations

Proekt, Alex, et al.. (2016). High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources. Journal of Visualized Experiments. 10 indexed citations

Proekt, Alex, et al.. (2016). High-density Electroencephalographic Acquisition in a Rodent Model Using Low-cost and Open-source Resources. Journal of Visualized Experiments. 17 indexed citations

10.

Gagnidze, Khatuna, et al.. (2016). Phase-Amplitude Coupling in Spontaneous Mouse Behavior. PLoS ONE. 11(9). e0162262–e0162262. 4 indexed citations

11.

Solovey, Guillermo, Leandro M. Alonso, Toru Yanagawa, et al.. (2015). Loss of Consciousness Is Associated with Stabilization of Cortical Activity. Journal of Neuroscience. 35(30). 10866–10877. 75 indexed citations

12.

Tibbs, Gareth R., R. Lea Sanford, Karl F. Herold, et al.. (2013). HCN1 Channels as Targets for Anesthetic and Nonanesthetic Propofol Analogs in the Amelioration of Mechanical and Thermal Hyperalgesia in a Mouse Model of Neuropathic Pain. Journal of Pharmacology and Experimental Therapeutics. 345(3). 363–373. 54 indexed citations

13.

Proekt, Alex, et al.. (2008). Predicting Adaptive Behavior in the Environment from Central Nervous System Dynamics. PLoS ONE. 3(11). e3678–e3678. 21 indexed citations

14.

Proekt, Alex, Jian Jing, & Klaudiusz R. Weiss. (2007). Multiple Contributions of an Input-Representing Neuron to the Dynamics of the Aplysia Feeding Network. Journal of Neurophysiology. 97(4). 3046–3056. 40 indexed citations

15.

Due, Michael R., et al.. (2007). State Dependence of Spike Timing and Neuronal Function in a Motor Pattern Generating Network. Journal of Neuroscience. 27(40). 10818–10831. 18 indexed citations

16.

Březina, Vladimír, Alex Proekt, & Klaudiusz R. Weiss. (2006). Cycle-to-cycle variability as an optimal behavioral strategy. Neurocomputing. 69(10-12). 1120–1124. 12 indexed citations

17.

Proekt, Alex, Ferdinand S. Vilim, Vera Alexeeva, et al.. (2005). Identification of a New Neuropeptide Precursor Reveals a Novel Source of Extrinsic Modulation in the Feeding System ofAplysia. Journal of Neuroscience. 25(42). 9637–9648. 34 indexed citations

18.

Cropper, Elizabeth C., Colin G. Evans, Jian Jing, et al.. (2004). Regulation of afferent transmission in the feeding circuitry ofAplysia. Acta Biologica Hungarica. 55(1-4). 211–220. 7 indexed citations

19.

Horn, Charles C., Yuriy Zhurov, Irina V. Orekhova, et al.. (2004). Cycle-to-Cycle Variability of Neuromuscular Activity in Aplysia Feeding Behavior. Journal of Neurophysiology. 92(1). 157–180. 54 indexed citations

20.

Cropper, Elizabeth C., Colin G. Evans, Itay Hurwitz, et al.. (2004). Feeding Neural Networks in the Mollusc <i>Aplysia</i>. Neurosignals. 13(1-2). 70–86. 85 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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