Daniel T. Monaghan

10.5k total citations · 3 hit papers
88 papers, 8.6k citations indexed

About

Daniel T. Monaghan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Daniel T. Monaghan has authored 88 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Cellular and Molecular Neuroscience, 59 papers in Molecular Biology and 20 papers in Cognitive Neuroscience. Recurrent topics in Daniel T. Monaghan's work include Neuroscience and Neuropharmacology Research (77 papers), Receptor Mechanisms and Signaling (27 papers) and Ion channel regulation and function (26 papers). Daniel T. Monaghan is often cited by papers focused on Neuroscience and Neuropharmacology Research (77 papers), Receptor Mechanisms and Signaling (27 papers) and Ion channel regulation and function (26 papers). Daniel T. Monaghan collaborates with scholars based in United States, United Kingdom and Canada. Daniel T. Monaghan's co-authors include Carl W. Cotman, Richard J. Bridges, Jon Storm‐Mathisen, Ole Petter Ottersen, David E. Jane, CW Cotman, Elizabeth E. Palmer, Vicky R. Holets, Henry J. Olverman and James W. Geddes and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel T. Monaghan

87 papers receiving 8.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Excitatory Amino Acid Receptors: Their Classes, Pharmacology, and Distinct Properties in the Function of the Central Nervous System

1989 1.9k citations Daniel T. Monaghan, Carl W. Cotman et al. profile →
Anatomical organization of excitatory amino acid receptors and their pathways

1987 657 citations Carl W. Cotman, Daniel T. Monaghan et al. profile →
Anatomical distributions of four pharmacologically distinct 3H-L-glutamate binding sites

1983 461 citations Daniel T. Monaghan, Carl W. Cotman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel T. Monaghan United States	45	7.1k	4.7k	1.7k	929	714	88	8.6k
John A. Kemp United States	55	6.7k 0.9×	5.0k 1.1×	1.9k 1.1×	1.2k 1.3×	686 1.0×	126	9.3k
Philippe Ascher France	33	9.3k 1.3×	7.1k 1.5×	2.0k 1.2×	818 0.9×	694 1.0×	58	11.0k
David E. Jane United Kingdom	50	6.8k 1.0×	4.5k 1.0×	2.1k 1.2×	706 0.8×	748 1.0×	137	8.4k
Robert T. Fremeau United States	37	5.7k 0.8×	4.8k 1.0×	1.3k 0.8×	974 1.0×	397 0.6×	61	9.0k
David Lodge United Kingdom	58	10.3k 1.5×	6.8k 1.4×	2.3k 1.4×	2.0k 2.1×	1.1k 1.5×	186	13.1k
Jørgen Drejer Denmark	34	5.9k 0.8×	4.0k 0.8×	618 0.4×	1.1k 1.1×	1.1k 1.6×	65	7.8k
Darryle D. Schoepp United States	58	11.2k 1.6×	7.5k 1.6×	2.7k 1.6×	1.8k 2.0×	949 1.3×	158	13.9k
Maurizio Raiteri Italy	56	8.7k 1.2×	6.1k 1.3×	1.2k 0.7×	1.2k 1.3×	860 1.2×	273	11.3k
Toshiya Manabe Japan	51	7.7k 1.1×	5.1k 1.1×	2.4k 1.5×	1.2k 1.3×	1.2k 1.6×	98	10.2k
F. Gasparini Switzerland	50	5.7k 0.8×	4.1k 0.9×	1.5k 0.9×	824 0.9×	521 0.7×	123	7.8k

Countries citing papers authored by Daniel T. Monaghan

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Monaghan'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 Daniel T. Monaghan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Monaghan more than expected).

Fields of papers citing papers by Daniel T. Monaghan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Monaghan. 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 Daniel T. Monaghan. The network helps show where Daniel T. Monaghan may publish in the future.

Co-authorship network of co-authors of Daniel T. Monaghan

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Monaghan. A scholar is included among the top collaborators of Daniel T. Monaghan 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 Daniel T. Monaghan. Daniel T. Monaghan 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

Irvine, Mark W., Erica S. Burnell, Kiran Sapkota, et al.. (2020). Structural basis of subtype-selective competitive antagonism for GluN2C/2D-containing NMDA receptors. Nature Communications. 11(1). 423–423. 25 indexed citations

Dravid, Shashank M., et al.. (2018). In the Telencephalon, GluN2C NMDA Receptor Subunit mRNA is Predominately Expressed in Glial Cells and GluN2D mRNA in Interneurons. Neurochemical Research. 44(1). 61–77. 40 indexed citations

Irvine, Mark W., Guangyu Fang, Kiran Sapkota, et al.. (2018). Investigation of the structural requirements for N-methyl-D-aspartate receptor positive and negative allosteric modulators based on 2-naphthoic acid. European Journal of Medicinal Chemistry. 164. 471–498. 11 indexed citations

Sapkota, Kiran, Mark W. Irvine, Guangyu Fang, et al.. (2017). Mechanism and properties of positive allosteric modulation of N -methyl- d -aspartate receptors by 6-alkyl 2-naphthoic acid derivatives. Neuropharmacology. 125. 64–79. 16 indexed citations

Sapkota, Kiran, Mark W. Irvine, Guangyu Fang, et al.. (2017). A single-channel mechanism for pharmacological potentiation of GluN1/GluN2A NMDA receptors. Scientific Reports. 7(1). 6933–6933. 8 indexed citations

Burnell, Erica S., Mark W. Irvine, Daniel T. Monaghan, et al.. (2016). Multiple roles of GluN2B-containing NMDA receptors in synaptic plasticity in juvenile hippocampus. Neuropharmacology. 112(Pt A). 76–83. 36 indexed citations

Gupta, Subhash C., Jinxu Liu, Ratnamala Pavuluri, et al.. (2016). The NMDA receptor GluN2C subunit controls cortical excitatory-inhibitory balance, neuronal oscillations and cognitive function. Scientific Reports. 6(1). 38321–38321. 49 indexed citations

Trinidad, Jonathan C., et al.. (2013). Nedd4 is a specific E3 ubiquitin ligase for the NMDA receptor subunit GluN2D. Neuropharmacology. 74. 96–107. 31 indexed citations

Monaghan, Daniel T., et al.. (2012). Pharmacological modulation of NMDA receptor activity and the advent of negative and positive allosteric modulators. Neurochemistry International. 61(4). 581–592. 75 indexed citations

10.

Volianskis, Arturas, Neil Bannister, Valerie J. Collett, et al.. (2012). Different NMDA receptor subtypes mediate induction of long‐term potentiation and two forms of short‐term potentiation at CA1 synapses in rat hippocampusin vitro. The Journal of Physiology. 591(4). 955–972. 73 indexed citations

11.

Kinarsky, Leo, Bihua Feng, Donald A. Skifter, et al.. (2005). Identification of Subunit- and Antagonist-Specific Amino Acid Residues in the N-Methyl-d-aspartate Receptor Glutamate-Binding Pocket. Journal of Pharmacology and Experimental Therapeutics. 313(3). 1066–1074. 37 indexed citations

12.

Shimoyama, Naohito, et al.. (2005). An Antisense Oligonucleotide to the N-Methyl-d-aspartate (NMDA) Subunit NMDAR1 Attenuates NMDA-Induced Nociception, Hyperalgesia, and Morphine Tolerance. Journal of Pharmacology and Experimental Therapeutics. 312(2). 834–840. 46 indexed citations

13.

Lozovaya, N. A., Sergei Grebenyuk, Timur Tsintsadze, et al.. (2004). Extrasynaptic NR2B and NR2D subunits of NMDA receptors shape ‘superslow’ afterburst EPSC in rat hippocampus. The Journal of Physiology. 558(2). 451–463. 134 indexed citations

14.

Xiong, Huangui, Laura R. McCabe, Donald A. Skifter, Daniel T. Monaghan, & Howard E. Gendelman. (2003). Activation of NR1a/NR2B receptors by monocyte-derived macrophage secretory products: implications for human immunodeficiency virus type one-associated dementia. Neuroscience Letters. 341(3). 246–250. 14 indexed citations

15.

Brown, James, Thomas H. Rosenquist, & Daniel T. Monaghan. (1998). ERK2 Activation by Homocysteine in Vascular Smooth Muscle Cells. Biochemical and Biophysical Research Communications. 251(3). 669–676. 49 indexed citations

16.

Thomas, Mark, et al.. (1998). Survival and functional demonstration of interregional pathways in fore/midbrain slice explant cultures. Neuroscience. 85(2). 615–626. 11 indexed citations

17.

Monaghan, Daniel T., et al.. (1997). NR1 and NR2 Subunit Contributions to N-Methyl-d-aspartate Receptor Channel Blocker Pharmacology. Journal of Pharmacology and Experimental Therapeutics. 280(2). 614–620. 67 indexed citations

18.

Ułas, J., Daniel T. Monaghan, & Carl W. Cotman. (1990). Plastic response of hippocampal excitatory amino acid receptors to deafferentation and reinnervation. Neuroscience. 34(1). 9–17. 43 indexed citations

19.

Cotman, Carl W. & Daniel T. Monaghan. (1988). Excitatory Amino Acid Neurotransmission: NMDA Receptors and Hebb-Type Synaptic Plasticity. Annual Review of Neuroscience. 11(1). 61–80. 407 indexed citations

20.

Cotman, Carl W. & Daniel T. Monaghan. (1986). Anatomical Organization of Excitatory Amino Acid Receptors and Their Properties. Advances in experimental medicine and biology. 203. 237–252. 70 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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