Matthew L. Pearn

1.5k total citations
17 papers, 1.1k citations indexed

About

Matthew L. Pearn is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine and Developmental Neuroscience. According to data from OpenAlex, Matthew L. Pearn has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Critical Care and Intensive Care Medicine and 5 papers in Developmental Neuroscience. Recurrent topics in Matthew L. Pearn's work include Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Neurotoxicity Research (5 papers) and Down syndrome and intellectual disability research (3 papers). Matthew L. Pearn is often cited by papers focused on Intensive Care Unit Cognitive Disorders (5 papers), Anesthesia and Neurotoxicity Research (5 papers) and Down syndrome and intellectual disability research (3 papers). Matthew L. Pearn collaborates with scholars based in United States, China and United Kingdom. Matthew L. Pearn's co-authors include Brian P. Head, Piyush M. Patel, Junji Egawa, Ingrid R. Niesman, Brian P. Lemkuil, Hemal H. Patel, William C. Mobley, John C. Drummond, Atsushi Sawada and Angels Almenar‐Queralt and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Matthew L. Pearn

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew L. Pearn United States	15	404	288	254	225	205	17	1.1k
Jin Hwan Lee United States	22	392 1.0×	177 0.6×	179 0.7×	191 0.8×	170 0.8×	34	1.4k
Christopher P. Turner United States	22	569 1.4×	297 1.0×	93 0.4×	216 1.0×	123 0.6×	38	1.4k
Yanning Qian China	18	391 1.0×	148 0.5×	131 0.5×	58 0.3×	153 0.7×	43	1.1k
Junji Egawa Japan	11	271 0.7×	81 0.3×	89 0.4×	199 0.9×	59 0.3×	24	627
Qingsheng Xue China	21	194 0.5×	322 1.1×	214 0.8×	65 0.3×	257 1.3×	50	988
Tatsuru Arai Japan	23	274 0.7×	113 0.4×	196 0.8×	120 0.5×	69 0.3×	61	1.2k
Chuanhan Zhang China	16	333 0.8×	98 0.3×	316 1.2×	74 0.3×	32 0.2×	45	985
Jan M. Schilling United States	19	460 1.1×	81 0.3×	240 0.9×	85 0.4×	35 0.2×	51	999
Wai‐Meng Kwok United States	27	974 2.4×	296 1.0×	312 1.2×	63 0.3×	61 0.3×	68	1.7k

Countries citing papers authored by Matthew L. Pearn

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Pearn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew L. Pearn. 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 Matthew L. Pearn. The network helps show where Matthew L. Pearn may publish in the future.

Co-authorship network of co-authors of Matthew L. Pearn

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

All Works

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17 of 17 papers shown

1.

Chinn, Gregory A., Matthew L. Pearn, László Vutskits, et al.. (2020). Standards for preclinical research and publications in developmental anaesthetic neurotoxicity: expert opinion statement from the SmartTots preclinical working group. British Journal of Anaesthesia. 124(5). 585–593. 20 indexed citations

2.

Chen, Xu‐Qiao, Ahmad Salehi, Matthew L. Pearn, et al.. (2020). Targeting increased levels of APP in Down syndrome: Posiphen‐mediated reductions in APP and its products reverse endosomal phenotypes in the Ts65Dn mouse model. Alzheimer s & Dementia. 17(2). 271–292. 36 indexed citations

3.

Sung, Kijung, Luiz F. Ferrari, Wanlin Yang, et al.. (2018). Swedish Nerve Growth Factor Mutation (NGF ^R100W ) Defines a Role for TrkA and p75 ^NTR in Nociception. Journal of Neuroscience. 38(14). 3394–3413. 30 indexed citations

4.

Pearn, Matthew L., Jan M. Schilling, Junji Egawa, et al.. (2018). Inhibition of RhoA reduces propofol-mediated growth cone collapse, axonal transport impairment, loss of synaptic connectivity, and behavioural deficits. British Journal of Anaesthesia. 120(4). 745–760. 29 indexed citations

5.

Schilling, Jan M., Adam Kassan, Chitra D. Mandyam, et al.. (2017). Inhibition of p75 neurotrophin receptor does not rescue cognitive impairment in adulthood after isoflurane exposure in neonatal mice. British Journal of Anaesthesia. 119(3). 465–471. 16 indexed citations

6.

Pearn, Matthew L., Ingrid R. Niesman, Junji Egawa, et al.. (2016). Pathophysiology Associated with Traumatic Brain Injury: Current Treatments and Potential Novel Therapeutics. Cellular and Molecular Neurobiology. 37(4). 571–585. 240 indexed citations

7.

Xu, Wei, April M. Weissmiller, Joseph White, et al.. (2016). Amyloid precursor protein–mediated endocytic pathway disruption induces axonal dysfunction and neurodegeneration. Journal of Clinical Investigation. 126(5). 1815–1833. 137 indexed citations

8.

Weissmiller, April M., Sol M. Reyna, Matthew L. Pearn, et al.. (2015). A γ-Secretase Inhibitor, but Not a γ-Secretase Modulator, Induced Defects in BDNF Axonal Trafficking and Signaling: Evidence for a Role for APP. PLoS ONE. 10(2). e0118379–e0118379. 28 indexed citations

9.

Egawa, Junji, Matthew L. Pearn, Brian P. Lemkuil, Piyush M. Patel, & Brian P. Head. (2015). Membrane lipid rafts and neurobiology: age‐related changes in membrane lipids and loss of neuronal function. The Journal of Physiology. 594(16). 4565–4579. 132 indexed citations

10.

Lemkuil, Brian P., et al.. (2015). The Effect of Clevidipine on Cerebral Blood Flow Velocity and Carbon Dioxide Reactivity in Human Volunteers. Journal of Neurosurgical Anesthesiology. 28(4). 337–340. 5 indexed citations

11.

Zhao, Xiaobei, Yue Zhou, April M. Weissmiller, et al.. (2014). Real-time Imaging of Axonal Transport of Quantum Dot-labeled BDNF in Primary Neurons. Journal of Visualized Experiments. 51899–51899. 30 indexed citations

12.

Zhao, Xiaobei, Yue Zhou, April M. Weissmiller, et al.. (2014). Real-time Imaging of Axonal Transport of Quantum Dot-labeled BDNF in Primary Neurons. Journal of Visualized Experiments. 6 indexed citations

13.

Pearn, Matthew L., et al.. (2013). Aging and intellectual disability: Insights from mouse models of down syndrome. PubMed. 18(1). 43–50. 24 indexed citations

14.

Pearn, Matthew L., et al.. (2012). Cognitive and pharmacological insights from the Ts65Dn mouse model of Down syndrome. Current Opinion in Neurobiology. 22(5). 880–886. 20 indexed citations

15.

Pearn, Matthew L., Yue Hu, Ingrid R. Niesman, et al.. (2011). Propofol Neurotoxicity Is Mediated by p75 Neurotrophin Receptor Activation. Anesthesiology. 116(2). 352–361. 120 indexed citations

16.

Lemkuil, Brian P., Brian P. Head, Matthew L. Pearn, et al.. (2010). Isoflurane Neurotoxicity Is Mediated by p75NTR-RhoA Activation and Actin Depolymerization. Anesthesiology. 114(1). 49–57. 97 indexed citations

17.

Head, Brian P., Jason N. Peart, Mathivadhani Panneerselvam, et al.. (2010). Loss of Caveolin-1 Accelerates Neurodegeneration and Aging. PLoS ONE. 5(12). e15697–e15697. 139 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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