Daniel L. Chase

1.3k total citations
15 papers, 995 citations indexed

About

Daniel L. Chase is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Daniel L. Chase has authored 15 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aging, 9 papers in Endocrine and Autonomic Systems and 4 papers in Molecular Biology. Recurrent topics in Daniel L. Chase's work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (9 papers) and CRISPR and Genetic Engineering (3 papers). Daniel L. Chase is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (12 papers), Circadian rhythm and melatonin (9 papers) and CRISPR and Genetic Engineering (3 papers). Daniel L. Chase collaborates with scholars based in United States and United Kingdom. Daniel L. Chase's co-authors include Michael R. Koelle, Georgia A. Patikoglou, Meng‐Qiu Dong, Lisa M. Coughlin, Antony M Jose, Khursheed A. Wani, D. Ghosh, Li Yan McCurdy, Netta Cohen and Michael N. Nitabach and has published in prestigious journals such as Neuron, Genes & Development and Nature Neuroscience.

In The Last Decade

Daniel L. Chase

14 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Chase United States 11 706 487 237 213 115 15 995
Masahiro Tomioka Japan 15 720 1.0× 529 1.1× 260 1.1× 189 0.9× 176 1.5× 25 958
Curtis M. Loer United States 12 592 0.8× 366 0.8× 231 1.0× 210 1.0× 144 1.3× 24 851
Robyn Lints United States 13 624 0.9× 388 0.8× 281 1.2× 127 0.6× 98 0.9× 33 897
Brigitte LeBoeuf United States 13 526 0.7× 351 0.7× 154 0.6× 135 0.6× 86 0.7× 17 693
William C. Spencer United States 14 732 1.0× 404 0.8× 487 2.1× 281 1.3× 167 1.5× 15 1.1k
Andy J. Chang United States 9 640 0.9× 532 1.1× 255 1.1× 224 1.1× 276 2.4× 10 1.2k
Andrew C. Giles United States 18 497 0.7× 279 0.6× 324 1.4× 315 1.5× 139 1.2× 27 982
Candida Rogers United Kingdom 8 420 0.6× 305 0.6× 128 0.5× 172 0.8× 100 0.9× 9 652
Andrew G. Davies United States 17 534 0.8× 260 0.5× 475 2.0× 294 1.4× 131 1.1× 34 1.2k
Jacqueline K. Rose Canada 11 272 0.4× 184 0.4× 146 0.6× 235 1.1× 71 0.6× 17 593

Countries citing papers authored by Daniel L. Chase

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Chase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel L. Chase

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

All Works

15 of 15 papers shown
1.
Ghosh, D., Li Yan McCurdy, Daniel L. Chase, et al.. (2016). Neural Architecture of Hunger-Dependent Multisensory Decision Making in C. elegans. Neuron. 92(5). 1049–1062. 88 indexed citations
2.
Chase, Daniel L.. (2014). Does Challenge by Choice Increase Participation?. Journal of international women's studies. 38(2). 108–128. 3 indexed citations
3.
Chase, Daniel L., et al.. (2013). Large-scale Gene Knockdown in <em>C. elegans</em> Using dsRNA Feeding Libraries to Generate Robust Loss-of-function Phenotypes. Journal of Visualized Experiments. e50693–e50693. 4 indexed citations
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Wani, Khursheed A., et al.. (2011). Coexpressed D1- and D2-Like Dopamine Receptors Antagonistically Modulate Acetylcholine Release inCaenorhabditis elegans. Genetics. 188(3). 579–590. 44 indexed citations
7.
Chase, Daniel L., et al.. (2009). Wii have a problem: a review of self-reported Wii related injuries. Journal of Innovation in Health Informatics. 17(1). 55–57. 46 indexed citations
8.
Smith, Mark, et al.. (2007). Middle School Students' Perceptions of Active Homework. Research Quarterly for Exercise and Sport. 78(1). 1 indexed citations
9.
Chase, Daniel L.. (2007). Biogenic amine neurotransmitters in C. elegans. WormBook. 1–15. 246 indexed citations
10.
Chase, Daniel L. & Michael R. Koelle. (2007). Biogenic amine neurotransmitters in C.. 90 indexed citations
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Chase, Daniel L. & Michael R. Koelle. (2004). Genetic Analysis of RGS Protein Function in Caenorhabditis elegans. Methods in enzymology on CD-ROM/Methods in enzymology. 389. 305–320. 32 indexed citations
13.
Chase, Daniel L., et al.. (2004). Mechanism of extrasynaptic dopamine signaling in Caenorhabditis elegans. Nature Neuroscience. 7(10). 1096–1103. 234 indexed citations
14.
Chase, Daniel L., Georgia A. Patikoglou, & Michael R. Koelle. (2001). Two RGS proteins that inhibit Gαo and Gαq signaling in C. elegans neurons require a Gβ5-like subunit for function. Current Biology. 11(4). 222–231. 68 indexed citations
15.
Dong, Meng‐Qiu, Daniel L. Chase, Georgia A. Patikoglou, & Michael R. Koelle. (2000). Multiple RGS proteins alter neural G protein signaling to allow C. elegans to rapidly change behavior when fed. Genes & Development. 14(16). 2003–2014. 71 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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