Anthony D. Umpierre

2.0k total citations
20 papers, 1.2k citations indexed

About

Anthony D. Umpierre is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Anthony D. Umpierre has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Developmental Neuroscience. Recurrent topics in Anthony D. Umpierre's work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Anthony D. Umpierre is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Anthony D. Umpierre collaborates with scholars based in United States, China and Australia. Anthony D. Umpierre's co-authors include Long‐Jun Wu, Yong Liu, Yanlu Ying, Ukpong B. Eyo, Dale B. Bosco, Jiaying Zheng, Tingjun Chen, Hailong Dong, Gregory A. Worrell and Jia Zhu and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Anthony D. Umpierre

20 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony D. Umpierre United States 14 750 437 269 232 193 20 1.2k
Louis‐Philippe Bernier Canada 20 734 1.0× 385 0.9× 293 1.1× 273 1.2× 519 2.7× 28 1.5k
Hong Lian China 10 735 1.0× 267 0.6× 450 1.7× 241 1.0× 333 1.7× 17 1.3k
Akiko Miyamoto Japan 8 872 1.2× 359 0.8× 155 0.6× 299 1.3× 175 0.9× 9 1.1k
Jiyun Peng China 13 685 0.9× 661 1.5× 709 2.6× 172 0.7× 262 1.4× 18 1.6k
Raffaella Morini Italy 19 412 0.5× 447 1.0× 193 0.7× 208 0.9× 436 2.3× 37 1.3k
Maria Amalia Di Castro Italy 18 535 0.7× 705 1.6× 217 0.8× 84 0.4× 342 1.8× 27 1.3k
Sarah B. Beynon Australia 7 705 0.9× 222 0.5× 263 1.0× 145 0.6× 188 1.0× 9 1.1k
Urtė Neniškytė Lithuania 12 1.3k 1.7× 364 0.8× 390 1.4× 661 2.8× 413 2.1× 21 1.9k
Oihane Abiega Spain 8 648 0.9× 213 0.5× 132 0.5× 292 1.3× 200 1.0× 8 976
Yanlu Ying China 12 445 0.6× 238 0.5× 157 0.6× 122 0.5× 109 0.6× 13 718

Countries citing papers authored by Anthony D. Umpierre

Since Specialization
Citations

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

Fields of papers citing papers by Anthony D. Umpierre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony D. Umpierre. 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 Anthony D. Umpierre. The network helps show where Anthony D. Umpierre may publish in the future.

Co-authorship network of co-authors of Anthony D. Umpierre

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony D. Umpierre. A scholar is included among the top collaborators of Anthony D. Umpierre 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 Anthony D. Umpierre. Anthony D. Umpierre 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.
Zhao, Shunyi, et al.. (2025). Chemogenetic activation of microglial Gi signaling decreases microglial surveillance and impairs neuronal synchronization. Science Advances. 11(9). eado7829–eado7829. 3 indexed citations
3.
Xie, Manling, Yue Liang, Praveen N. Pallegar, et al.. (2025). Rod-shaped microglia interact with neuronal dendrites to attenuate cortical excitability during TDP-43-related neurodegeneration. Immunity. 58(12). 3113–3129.e8. 3 indexed citations
4.
Haruwaka, Koichiro, Yanlu Ying, Yue Liang, et al.. (2024). Microglia enhance post-anesthesia neuronal activity by shielding inhibitory synapses. Nature Neuroscience. 27(3). 449–461. 29 indexed citations
5.
Umpierre, Anthony D., Bohan Li, Katayoun Ayasoufi, et al.. (2024). Microglial P2Y6 calcium signaling promotes phagocytosis and shapes neuroimmune responses in epileptogenesis. Neuron. 112(12). 1959–1977.e10. 28 indexed citations
6.
Zhao, Shunyi, Anthony D. Umpierre, & Long‐Jun Wu. (2024). Tuning neural circuits and behaviors by microglia in the adult brain. Trends in Neurosciences. 47(3). 181–194. 42 indexed citations
7.
Zhao, Shunyi, Jiaying Zheng, Anthony D. Umpierre, et al.. (2023). Chemogenetic manipulation of CX3CR1+ cells transiently induces hypolocomotion independent of microglia. Molecular Psychiatry. 28(7). 2857–2871. 7 indexed citations
8.
Umpierre, Anthony D., Koichiro Haruwaka, & Long‐Jun Wu. (2022). Getting a Sense of ATP in Real Time. Neuroscience Bulletin. 38(7). 834–836. 1 indexed citations
9.
Liu, Yong, Anthony D. Umpierre, Tingjun Chen, et al.. (2021). Optogenetic activation of spinal microglia triggers chronic pain in mice. PLoS Biology. 19(3). e3001154–e3001154. 51 indexed citations
10.
Umpierre, Anthony D. & Long‐Jun Wu. (2020). Microglia Research in the 100th Year Since Its Discovery. Neuroscience Bulletin. 36(3). 303–306. 13 indexed citations
11.
Umpierre, Anthony D., et al.. (2020). Microglial calcium signaling is attuned to neuronal activity in awake mice. eLife. 9. 131 indexed citations
12.
Umpierre, Anthony D. & Long‐Jun Wu. (2020). How microglia sense and regulate neuronal activity. Glia. 69(7). 1637–1653. 149 indexed citations
13.
Mo, Mingshu, Ukpong B. Eyo, Manling Xie, et al.. (2019). Microglial P2Y12 Receptor Regulates Seizure-Induced Neurogenesis and Immature Neuronal Projections. Journal of Neuroscience. 39(47). 9453–9464. 65 indexed citations
14.
Peng, Jiyun, Yong Liu, Anthony D. Umpierre, et al.. (2019). Microglial P2Y12 receptor regulates ventral hippocampal CA1 neuronal excitability and innate fear in mice. Molecular Brain. 12(1). 71–71. 81 indexed citations
15.
Peng, Jiyun, Wei Xiao, Chun-Lin Mai, et al.. (2019). Microglia Are Indispensable for Synaptic Plasticity in the Spinal Dorsal Horn and Chronic Pain. Cell Reports. 27(13). 3844–3859.e6. 177 indexed citations
16.
Liu, Yong, Yanlu Ying, Yujiao Li, et al.. (2019). Neuronal network activity controls microglial process surveillance in awake mice via norepinephrine signaling. Nature Neuroscience. 22(11). 1771–1781. 251 indexed citations
17.
Umpierre, Anthony D., Peter J. West, John A. White, & Karen S. Wilcox. (2018). Conditional Knock-out of mGluR5 from Astrocytes during Epilepsy Development Impairs High-Frequency Glutamate Uptake. Journal of Neuroscience. 39(4). 727–742. 43 indexed citations
18.
Umpierre, Anthony D., et al.. (2016). Repeated low-dose kainate administration in C57BL/6J mice produces temporal lobe epilepsy pathology but infrequent spontaneous seizures. Experimental Neurology. 279. 116–126. 33 indexed citations
19.
Umpierre, Anthony D., E. Jill Dahle, Anitha Alex, et al.. (2014). Impaired cognitive ability and anxiety-like behavior following acute seizures in the Theiler's virus model of temporal lobe epilepsy. Neurobiology of Disease. 64. 98–106. 51 indexed citations
20.
Baladi, Michelle, et al.. (2014). Prior methylphenidate self-administration alters the subsequent reinforcing effects of methamphetamine in rats. Behavioural Pharmacology. 25(8). 758–765. 7 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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