Andrew E. Hudson

946 total citations
18 papers, 554 citations indexed

About

Andrew E. Hudson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Andrew E. Hudson has authored 18 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Neurology. Recurrent topics in Andrew E. Hudson's work include Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Andrew E. Hudson is often cited by papers focused on Neural dynamics and brain function (12 papers), Functional Brain Connectivity Studies (8 papers) and EEG and Brain-Computer Interfaces (5 papers). Andrew E. Hudson collaborates with scholars based in United States, United Kingdom and China. Andrew E. Hudson's co-authors include Hugh C. Hemmings, Alex Proekt, Diany Paola Calderon, Donald W. Pfaff, Nader Pouratian, Mahsa Malekmohammadi, Collin M. Price, Nicholas D. Schiff, Keith P. Purpura and Tanya Nauvel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain and Journal of Neurophysiology.

In The Last Decade

Andrew E. Hudson

17 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew E. Hudson United States	11	304	157	133	125	88	18	554
Bryan M. Krause United States	13	265 0.9×	138 0.9×	173 1.3×	153 1.2×	211 2.4×	37	590
Anu Maksimow Finland	17	436 1.4×	213 1.4×	255 1.9×	399 3.2×	158 1.8×	27	931
Elina Salmi Finland	11	200 0.7×	157 1.0×	182 1.4×	202 1.6×	80 0.9×	12	528
Rosaleena Mohanty Sweden	13	233 0.8×	27 0.2×	120 0.9×	88 0.7×	162 1.8×	36	542
Giuditta Angelini United States	7	329 1.1×	77 0.5×	39 0.3×	91 0.7×	42 0.5×	9	559
Agustin Liotta Germany	14	153 0.5×	309 2.0×	78 0.6×	45 0.4×	41 0.5×	25	498
Andreas Ranft Germany	10	270 0.9×	115 0.7×	59 0.4×	71 0.6×	17 0.2×	17	413
Jacob W. Nadler United States	11	167 0.5×	45 0.3×	227 1.7×	97 0.8×	276 3.1×	24	568
Janna D. Lendner Germany	8	458 1.5×	127 0.8×	234 1.8×	244 2.0×	271 3.1×	15	871
Takao Inoue Japan	13	43 0.1×	123 0.8×	44 0.3×	27 0.2×	61 0.7×	43	409

Countries citing papers authored by Andrew E. Hudson

Since Specialization

Citations

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

Fields of papers citing papers by Andrew E. Hudson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Hudson. 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 Andrew E. Hudson. The network helps show where Andrew E. Hudson may publish in the future.

Co-authorship network of co-authors of Andrew E. Hudson

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

All Works

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18 of 18 papers shown

Malekmohammadi, Mahsa, Daniel Toker, Jeong Woo Choi, et al.. (2024). Globus pallidus externus drives increase in network-wide alpha power with propofol-induced loss-of-consciousness in humans. Cerebral Cortex. 34(6).

Toker, Daniel, Eli J. Müller, Hiroyuki Miyamoto, et al.. (2023). Criticality supports cross-frequency cortical-thalamic information transfer during conscious states. eLife. 13. 10 indexed citations

Hudson, Andrew E., et al.. (2022). Does Dexmedetomidine Improve or Worsen Restless Leg Syndrome under Sedation: A Case Report and Extensive Review. Case Reports in Critical Care. 2022. 1–5. 2 indexed citations

Chen, Kun, et al.. (2022). A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 30. 2077–2087. 3 indexed citations

Luppi, Andrea I., Joshua Cain, Lennart R. B. Spindler, et al.. (2021). Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science. Neurocritical Care. 35(S1). 37–54. 35 indexed citations

Chen, Kun, et al.. (2021). Brain Connectivity Analysis in Anesthetized and Awake States: an ECoG Study in Monkeys. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 117–120. 3 indexed citations

Malekmohammadi, Mahsa, et al.. (2019). Propofol-induced loss of consciousness is associated with a decrease in thalamocortical connectivity in humans. Brain. 142(8). 2288–2302. 52 indexed citations

Ma, Li, Wentai Liu, & Andrew E. Hudson. (2019). Propofol Anesthesia Increases Long-range Frontoparietal Corticocortical Interaction in the Oculomotor Circuit in Macaque Monkeys. Anesthesiology. 130(4). 560–571. 22 indexed citations

Hudson, Andrew E., et al.. (2018). A stochastic basis for neural inertia in emergence from general anaesthesia. British Journal of Anaesthesia. 121(1). 86–94. 26 indexed citations

10.

Hudson, Andrew E.. (2018). Genetic Reporters of Neuronal Activity: c-Fos and G-CaMP6. Methods in enzymology on CD-ROM/Methods in enzymology. 603. 197–220. 46 indexed citations

11.

Malekmohammadi, Mahsa, et al.. (2018). Propofol Anesthesia Precludes LFP-Based Functional Mapping of Pallidum during DBS Implantation. Stereotactic and Functional Neurosurgery. 96(4). 249–258. 10 indexed citations

12.

Malekmohammadi, Mahsa, Nicholas AuYong, Collin M. Price, et al.. (2017). Propofol-induced Changes in α-β Sensorimotor Cortical Connectivity. Anesthesiology. 128(2). 305–316. 14 indexed citations

13.

Hudson, Andrew E.. (2017). Metastability of Neuronal Dynamics during General Anesthesia: Time for a Change in Our Assumptions?. Frontiers in Neural Circuits. 11. 58–58. 25 indexed citations

14.

Hudson, Andrew E., Diany Paola Calderon, Donald W. Pfaff, & Alex Proekt. (2014). Recovery of consciousness is mediated by a network of discrete metastable activity states. Proceedings of the National Academy of Sciences. 111(25). 9283–9288. 112 indexed citations

15.

Schiff, Nicholas D., et al.. (2012). Gating of attentional effort through the central thalamus. Journal of Neurophysiology. 109(4). 1152–1163. 55 indexed citations

16.

Hudson, Andrew E. & Hugh C. Hemmings. (2011). Are anaesthetics toxic to the brain?. British Journal of Anaesthesia. 107(1). 30–37. 125 indexed citations

17.

Smith, Anne C., Sudhin A. Shah, Andrew E. Hudson, et al.. (2009). A Bayesian statistical analysis of behavioral facilitation associated with deep brain stimulation. Journal of Neuroscience Methods. 183(2). 267–276. 2 indexed citations

18.

Hudson, Andrew E., Nicholas D. Schiff, Jonathan D. Victor, & Keith P. Purpura. (2009). Attentional modulation of adaptation in V4. European Journal of Neuroscience. 30(1). 151–171. 12 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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