Daniel T. Monaghan

10.5k citations
88 papers · 8.6k indexed · 3 hit papers · h-index 45

Daniel T. Monaghan

87 papers receiving 8.3k citations

Hit Papers

The Excitatory Amino Acid Receptors: Their Classes, Pharm...1.9k198320261997201150010001.5k

Peers

Daniel T. Monaghan
Comparison fields: 5 of 120
  • Cellular and Molecular Neuroscience 7.1k
  • Developmental Neuroscience 565
  • Cognitive Neuroscience 1.7k
  • Neurology 714
  • Biological Psychiatry 191
Replace John A. Kemp with:
John A. Kemp United States
David E. Jane United Kingdom
Robert T. Fremeau United States
Philippe Ascher France
Toshiya Manabe Japan
David Lodge United Kingdom
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Zuner A. Bortolotto United Kingdom
Jang‐Yen Wu United States
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Daniel T. Monaghan relative to John A. Kemp United States John A. Kemp's profile →
Citations per field
00.5×3.7×
John A. Kemp · 1×
Citations per year

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

The 25 scholars most cited alongside Daniel T. Monaghan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel T. Monaghan Line = papers co-authored together Daniel T. Monaghan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202025
2 201840
3 201811
4 201716
5 20178
6 201636
7 201649
8 201331
9 201275
10 201273
11 200537
12 200546
13 2004134
14 200314
15 199849
16 199811
17 199767
18 199043
19 1988407
20 198670

About Daniel T. Monaghan

Daniel T. Monaghan is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy, Cognitive Neuroscience, Biochemistry and Molecular Biology, having authored 88 papers that have together received 8.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (77 papers), Receptor Mechanisms and Signaling (27 papers), Ion channel regulation and function (26 papers), Molecular Sensors and Ion Detection (20 papers), Memory and Neural Mechanisms (15 papers), Amino Acid Enzymes and Metabolism (7 papers), Neural dynamics and brain function (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (7.1k citations), Developmental Neuroscience (565 citations), Cognitive Neuroscience (1.7k citations), Neurology (714 citations) and Biological Psychiatry (191 citations). Daniel T. Monaghan has collaborated with scholars based in United States, United Kingdom and Canada. Frequent 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. Their work appears in journals such as Brain Research, Journal of Pharmacology and Experimental Therapeutics, Neuropharmacology, European Journal of Pharmacology and Neuroscience.

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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