David M. Raizen

5.1k total citations
76 papers, 3.3k citations indexed

About

David M. Raizen is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, David M. Raizen has authored 76 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Aging, 45 papers in Endocrine and Autonomic Systems and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in David M. Raizen's work include Genetics, Aging, and Longevity in Model Organisms (46 papers), Circadian rhythm and melatonin (44 papers) and Spaceflight effects on biology (15 papers). David M. Raizen is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (46 papers), Circadian rhythm and melatonin (44 papers) and Spaceflight effects on biology (15 papers). David M. Raizen collaborates with scholars based in United States, South Korea and Taiwan. David M. Raizen's co-authors include Leon Avery, Young‐Jai You, Allan I Pack, Christopher Fang‐Yen, John E. Zimmerman, Nicholas F. Trojanowski, Matthew D. Nelson, Raymond Lee, Meera V. Sundaram and Matthew S. Kayser and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David M. Raizen

75 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Raizen United States 31 1.8k 1.8k 972 664 640 76 3.3k
Kai-Florian Storch Canada 20 604 0.3× 2.8k 1.6× 631 0.6× 1.5k 2.3× 454 0.7× 33 3.7k
Kyungjin Kim South Korea 31 325 0.2× 1.9k 1.1× 721 0.7× 888 1.3× 508 0.8× 86 3.5k
Megumi Hatori United States 20 500 0.3× 2.9k 1.7× 723 0.7× 2.0k 3.0× 403 0.6× 28 4.2k
Kazuhiro Shimomura United States 23 625 0.3× 3.1k 1.7× 1.0k 1.0× 1.4k 2.1× 563 0.9× 55 4.2k
Hugues Dardente France 33 352 0.2× 3.3k 1.9× 850 0.9× 1.3k 2.0× 465 0.7× 78 4.5k
Alec J. Davidson United States 36 313 0.2× 2.7k 1.6× 779 0.8× 1.3k 2.0× 740 1.2× 62 3.5k
Emi Nagoshi Switzerland 22 368 0.2× 1.6k 0.9× 661 0.7× 588 0.9× 177 0.3× 46 2.7k
Gi Hoon Son South Korea 34 212 0.1× 1.7k 1.0× 1.1k 1.1× 792 1.2× 588 0.9× 89 3.9k
Nicholas F. Lahens United States 22 415 0.2× 1.9k 1.1× 358 0.4× 1.1k 1.6× 211 0.3× 38 3.6k
John E. Zimmerman United States 22 299 0.2× 898 0.5× 612 0.6× 252 0.4× 796 1.2× 28 1.8k

Countries citing papers authored by David M. Raizen

Since Specialization
Citations

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

Fields of papers citing papers by David M. Raizen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Raizen. 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 David M. Raizen. The network helps show where David M. Raizen may publish in the future.

Co-authorship network of co-authors of David M. Raizen

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Raizen. A scholar is included among the top collaborators of David M. Raizen 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 David M. Raizen. David M. Raizen 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.
Linden, Alexander M. van der, et al.. (2024). Quiescence Enhances Survival during Viral Infection inCaenorhabditis elegans. Journal of Neuroscience. 44(35). e1700222024–e1700222024. 3 indexed citations
2.
Costa, Paula Carvalho, et al.. (2024). A perfect storm: sleep loss causes systemic inflammation and death. Cell Research. 34(5). 341–342. 3 indexed citations
3.
Raizen, David M., et al.. (2024). Structural neuroplasticity after sleep loss modifies behavior and requires neurexin and neuroligin. iScience. 27(4). 109477–109477. 4 indexed citations
4.
Raizen, David M., Brendan T Keenan, Patrick Z. Liu, et al.. (2023). Increased posterior cingulate cortex blood flow in cancer-related fatigue. Frontiers in Neurology. 14. 1135462–1135462. 2 indexed citations
5.
He, Siming, et al.. (2023). A robotic system for automated genetic manipulation and analysis ofCaenorhabditis elegans. PNAS Nexus. 2(7). pgad197–pgad197. 6 indexed citations
6.
Raizen, David M., et al.. (2022). Pharyngeal timing and particle transport defects in Caenorhabditis elegans feeding mutants. Journal of Neurophysiology. 128(2). 302–309. 4 indexed citations
7.
Liu, Wanting, Jianghong Liu, Eugenia Mamikonyan, et al.. (2022). Perfusion Imaging of Fatigue and Time-on-Task Effects in Patients With Parkinson’s Disease. Frontiers in Aging Neuroscience. 14. 901203–901203. 6 indexed citations
8.
McClanahan, Patrick D., et al.. (2020). Dehydrated Caenorhabditis elegans Stocks Are Resistant to Multiple Freeze-Thaw Cycles. G3 Genes Genomes Genetics. 10(12). 4505–4512. 4 indexed citations
9.
Trojanowski, Nicholas F., et al.. (2020). Teething during sleep: Ultrastructural analysis of pharyngeal muscle and cuticular grinder during the molt in Caenorhabditis elegans. PLoS ONE. 15(5). e0233059–e0233059. 14 indexed citations
10.
Linden, Alexander M. van der, et al.. (2020). A salt-induced kinase is required for the metabolic regulation of sleep. PLoS Biology. 18(4). e3000220–e3000220. 40 indexed citations
11.
Churgin, Matthew A., et al.. (2019). Quantitative imaging of sleep behavior in Caenorhabditis elegans and larval Drosophila melanogaster. Nature Protocols. 14(5). 1455–1488. 15 indexed citations
12.
Chao, Hann‐Hsiang, Abigail Doucette, David M. Raizen, & Neha Vapiwala. (2017). Factors associated with fatigue in prostate cancer (PC) patients undergoing external beam radiation therapy (EBRT). Practical Radiation Oncology. 8(3). e139–e148. 9 indexed citations
13.
Yuan, Jinzhou, et al.. (2015). High-throughput, motility-based sorter for microswimmers such as C. elegans. Lab on a Chip. 15(13). 2790–2798. 23 indexed citations
14.
Nelson, Matthew D., Matthew A. Churgin, Andrew J. Hill, et al.. (2014). FMRFamide-like FLP-13 Neuropeptides Promote Quiescence following Heat Stress in Caenorhabditis elegans. Current Biology. 24(20). 2406–2410. 92 indexed citations
15.
Chuang, Han-Sheng, et al.. (2011). Dielectrophoresis of Caenorhabditis elegans. Lab on a Chip. 11(4). 599–599. 29 indexed citations
16.
Zimmerman, John E., et al.. (2008). A Video Method to Study Drosophila Sleep. SLEEP. 31(11). 1587–1598. 69 indexed citations
17.
Zimmerman, John E., Nirinjini Naidoo, David M. Raizen, & Allan I Pack. (2008). Conservation of sleep: insights from non-mammalian model systems. Trends in Neurosciences. 31(7). 371–376. 109 indexed citations
18.
Taylor, Robert L., Jo‐Anne Vergilio, Michael B. Shapiro, et al.. (2002). T Cell Receptor γ-Chain Gene Polymerase Chain Reaction to Diagnose Central Nervous System Involvement by Cutaneous T Cell Lymphoma. Journal of Molecular Diagnostics. 4(2). 118–120. 1 indexed citations
19.
Raizen, David M., Raymond Lee, & Leon Avery. (1995). Interacting genes required for pharyngeal excitation by motor neuron MC in Caenorhabditis elegans.. Genetics. 141(4). 1365–1382. 225 indexed citations
20.
Raizen, David M. & Leon Avery. (1994). Electrical activity and behavior in the pharynx of caenorhabditis elegans. Neuron. 12(3). 483–495. 182 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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