Matthew S. Kayser

4.9k total citations · 1 hit paper
51 papers, 3.4k citations indexed

About

Matthew S. Kayser is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Matthew S. Kayser has authored 51 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 18 papers in Endocrine and Autonomic Systems and 16 papers in Genetics. Recurrent topics in Matthew S. Kayser's work include Circadian rhythm and melatonin (18 papers), Neurobiology and Insect Physiology Research (16 papers) and Sleep and Wakefulness Research (13 papers). Matthew S. Kayser is often cited by papers focused on Circadian rhythm and melatonin (18 papers), Neurobiology and Insect Physiology Research (16 papers) and Sleep and Wakefulness Research (13 papers). Matthew S. Kayser collaborates with scholars based in United States, Germany and Spain. Matthew S. Kayser's co-authors include Josep Dalmau, Matthew B. Dalva, Kimberly M. Huber, Mark F. Bear, Andrew C. McClelland, Núria Gresa‐Arribas, Maarten J. Titulaer, Mark J. Nolt, Amita Sehgal and David M. Raizen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Matthew S. Kayser

48 papers receiving 3.3k citations

Hit Papers

Role for Rapid Dendritic ... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew S. Kayser United States 21 1.7k 1.0k 681 680 644 51 3.4k
Massimo Pasqualetti Italy 33 1.2k 0.7× 1.5k 1.4× 664 1.0× 471 0.7× 251 0.4× 74 3.0k
Camin Dean Germany 24 1.4k 0.8× 1.3k 1.2× 281 0.4× 273 0.4× 605 0.9× 39 2.9k
Esther Asan Germany 34 2.2k 1.3× 1.5k 1.5× 567 0.8× 201 0.3× 395 0.6× 73 3.9k
Carolina Frassoni Italy 32 2.2k 1.2× 1.2k 1.2× 861 1.3× 283 0.4× 316 0.5× 86 3.4k
Roy V. Sillitoe United States 36 1.6k 0.9× 1.7k 1.6× 634 0.9× 410 0.6× 639 1.0× 114 4.3k
Taisuke Miyazaki Japan 40 2.5k 1.5× 1.9k 1.9× 533 0.8× 412 0.6× 450 0.7× 74 4.0k
Yann Humeau France 26 2.4k 1.4× 1.4k 1.4× 1.6k 2.3× 411 0.6× 343 0.5× 49 3.8k
Alberto Pascual Spain 22 961 0.6× 734 0.7× 289 0.4× 536 0.8× 171 0.3× 47 2.3k
Benjamin R. Arenkiel United States 35 1.7k 1.0× 1.5k 1.5× 942 1.4× 344 0.5× 152 0.2× 97 4.4k
Hidenori Aizawa Japan 27 1.3k 0.8× 988 1.0× 985 1.4× 187 0.3× 176 0.3× 54 2.8k

Countries citing papers authored by Matthew S. Kayser

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Kayser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Kayser

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Kayser. A scholar is included among the top collaborators of Matthew S. Kayser 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 S. Kayser. Matthew S. Kayser 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.
Poe, Amy R., et al.. (2024). Energetic demands regulate sleep-wake rhythm circuit development. eLife. 13. 1 indexed citations
3.
Durkin, Jaclyn, et al.. (2024). TDP-43 impairs sleep in Drosophila through Ataxin-2 –dependent metabolic disturbance. Science Advances. 10(2). eadj4457–eadj4457. 9 indexed citations
4.
Gehrman, Philip, et al.. (2023). 0400 Examining the Effectiveness of Telehealth Delivered Cognitive Behavioral Treatment of Insomnia. SLEEP. 46(Supplement_1). A177–A177. 1 indexed citations
5.
Poe, Amy R., Milán Szuperák, Patrick D. McClanahan, et al.. (2023). Developmental emergence of sleep rhythms enables long-term memory in Drosophila. Science Advances. 9(36). eadh2301–eadh2301. 8 indexed citations
6.
Granberg, Rachel E., Arianna Heyer, Philip Gehrman, et al.. (2022). Patient and provider experiences with CBT-I administered in-person or via telemedicine: A randomized non-inferiority trial. Cogent Psychology. 9(1). 5 indexed citations
7.
Veatch, Olivia J., Naihua N. Gong, Diane C Lim, et al.. (2022). Synaptic dysfunction connects autism spectrum disorder and sleep disturbances: A perspective from studies in model organisms. Sleep Medicine Reviews. 62. 101595–101595. 18 indexed citations
8.
Gong, Naihua N., et al.. (2022). Intrinsic maturation of sleep output neurons regulates sleep ontogeny in Drosophila. Current Biology. 32(18). 4025–4039.e3. 6 indexed citations
9.
Gong, Naihua N., Emilia H. Moscato, Milán Szuperák, et al.. (2021). The chromatin remodeler ISWI acts during Drosophila development to regulate adult sleep. Science Advances. 7(8). 9 indexed citations
10.
Szuperák, Milán, Naihua N. Gong, Ricardo Linares-Saldana, et al.. (2020). Identification of a molecular basis for the juvenile sleep state. eLife. 9. 11 indexed citations
11.
Boland, Elaine M., Jennifer Goldschmied, Matthew S. Kayser, & Philip Gehrman. (2019). Precision Medicine for Insomnia. Sleep Medicine Clinics. 14(3). 291–299. 13 indexed citations
12.
Szuperák, Milán, Matthew A. Churgin, Austin J. Borja, et al.. (2018). A sleep state in Drosophila larvae required for neural stem cell proliferation. eLife. 7. 28 indexed citations
13.
Anafi, Ron C., Matthew S. Kayser, & David M. Raizen. (2018). Exploring phylogeny to find the function of sleep. Nature reviews. Neuroscience. 20(2). 109–116. 145 indexed citations
14.
Öztürk‐Çolak, Arzu, et al.. (2017). Identification of octopaminergic neurons that modulate sleep suppression by male sex drive. eLife. 6. 51 indexed citations
15.
Moscato, Emilia H., et al.. (2016). Unraveling the Neurobiology of Sleep and Sleep Disorders Using Drosophila. Current topics in developmental biology. 121. 253–285. 14 indexed citations
16.
Kayser, Matthew S. & Josep Dalmau. (2014). Anti-NMDA receptor encephalitis, autoimmunity, and psychosis. Schizophrenia Research. 176(1). 36–40. 146 indexed citations
17.
Nolt, Mark J., Ying Lin, Martin Hruska, et al.. (2011). EphB Controls NMDA Receptor Function and Synaptic Targeting in a Subunit-Specific Manner. Journal of Neuroscience. 31(14). 5353–5364. 122 indexed citations
18.
Kayser, Matthew S., Mark J. Nolt, & Matthew B. Dalva. (2008). EphB Receptors Couple Dendritic Filopodia Motility to Synapse Formation. Neuron. 59(1). 56–69. 160 indexed citations
19.
Dalva, Matthew B., Andrew C. McClelland, & Matthew S. Kayser. (2007). Cell adhesion molecules: signalling functions at the synapse. Nature reviews. Neuroscience. 8(3). 206–220. 467 indexed citations
20.
Kayser, Matthew S., et al.. (2001). [Interaction between melilot and acenocoumarol? (Melilotruscus aculeatus)].. PubMed. 56(3). 321–2. 4 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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