Daniel DeWoskin

452 total citations
8 papers, 350 citations indexed

About

Daniel DeWoskin is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Genetics. According to data from OpenAlex, Daniel DeWoskin has authored 8 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 2 papers in Genetics. Recurrent topics in Daniel DeWoskin's work include Circadian rhythm and melatonin (4 papers), Photoreceptor and optogenetics research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Daniel DeWoskin is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Photoreceptor and optogenetics research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Daniel DeWoskin collaborates with scholars based in United States, Japan and Norway. Daniel DeWoskin's co-authors include Daniel B. Forger, Jihwan Myung, Toru Takumi, Erik De Schutter, Sungho Hong, Mino D. C. Belle, Hugh D. Piggins, Laura J. McMeekin, Jodi R. Paul and Karen L. Gamble and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Daniel DeWoskin

8 papers receiving 349 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 DeWoskin United States 6 236 168 96 61 59 8 350
Kenneth Yun United States 10 287 1.2× 91 0.5× 87 0.9× 56 0.9× 73 1.2× 15 519
Janina Hesse Germany 9 106 0.4× 68 0.4× 234 2.4× 74 1.2× 62 1.1× 16 462
Casey O. Diekman United States 13 394 1.7× 302 1.8× 219 2.3× 79 1.3× 112 1.9× 30 629
P.F. Thaben Germany 7 374 1.6× 135 0.8× 67 0.7× 149 2.4× 170 2.9× 7 638
Emma K. Towlson United States 7 64 0.3× 93 0.6× 275 2.9× 37 0.6× 120 2.0× 10 562
Stephanie R. Taylor United States 12 239 1.0× 89 0.5× 45 0.5× 56 0.9× 202 3.4× 22 480
Christoph Schmal Germany 13 293 1.2× 158 0.9× 79 0.8× 74 1.2× 141 2.4× 24 507
Yongho Kwak South Korea 6 197 0.8× 116 0.7× 84 0.9× 79 1.3× 27 0.5× 9 373
Naoto Hayasaka Japan 12 234 1.0× 141 0.8× 55 0.6× 48 0.8× 81 1.4× 25 441

Countries citing papers authored by Daniel DeWoskin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel DeWoskin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel DeWoskin

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

All Works

8 of 8 papers shown
1.
Paul, Jodi R., Daniel DeWoskin, Laura J. McMeekin, et al.. (2016). Regulation of persistent sodium currents by glycogen synthase kinase 3 encodes daily rhythms of neuronal excitability. Nature Communications. 7(1). 13470–13470. 39 indexed citations
2.
Myung, Jihwan, Sungho Hong, Daniel DeWoskin, et al.. (2015). GABA-mediated repulsive coupling between circadian clock neurons in the SCN encodes seasonal time. Proceedings of the National Academy of Sciences. 112(29). E3920–9. 139 indexed citations
3.
DeWoskin, Daniel, Jihwan Myung, Mino D. C. Belle, et al.. (2015). Distinct roles for GABA across multiple timescales in mammalian circadian timekeeping. Proceedings of the National Academy of Sciences. 112(29). E3911–9. 113 indexed citations
4.
DeWoskin, Daniel, et al.. (2014). It is not the parts, but how they interact that determines the behaviour of circadian rhythms across scales and organisms. Interface Focus. 4(3). 20130076–20130076. 24 indexed citations
5.
Arsuaga, Javier, Nils A. Baas, Daniel DeWoskin, et al.. (2012). Topological analysis of gene expression arrays identifies high risk molecular subtypes in breast cancer. Applicable Algebra in Engineering Communication and Computing. 23(1-2). 3–15. 9 indexed citations
6.
DeWoskin, Daniel, et al.. (2011). Dynamic models of metastatic tumor growth. 2 indexed citations
7.
DeWoskin, Daniel, et al.. (2009). Applications of computational homology to the analysis of treatment response in breast cancer patients. Topology and its Applications. 157(1). 157–164. 23 indexed citations
8.
DeWoskin, Daniel, et al.. (2009). A Computational Homology Analysis of CGH Data Finds Recurrent Genomic Instability in Older Breast Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 75(3). S135–S135. 1 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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