Daryl S. Spinner

698 total citations
30 papers, 564 citations indexed

About

Daryl S. Spinner is a scholar working on Molecular Biology, Economics and Econometrics and Physiology. According to data from OpenAlex, Daryl S. Spinner has authored 30 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Economics and Econometrics and 6 papers in Physiology. Recurrent topics in Daryl S. Spinner's work include Prion Diseases and Protein Misfolding (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Trace Elements in Health (6 papers). Daryl S. Spinner is often cited by papers focused on Prion Diseases and Protein Misfolding (9 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers) and Trace Elements in Health (6 papers). Daryl S. Spinner collaborates with scholars based in United States, United Kingdom and South Korea. Daryl S. Spinner's co-authors include Richard J. Kascsak, Thomas Wısnıewskı, Harry C. Meeker, Henrieta Scholtzova, Regina B. Kascsak, Daniel J. Kerr, Allal Boutajangout, Pankaj Mehta, Kristyn A. Bates and Richard I. Carp and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Daryl S. Spinner

29 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daryl S. Spinner United States 13 305 184 183 96 85 30 564
Leila Shobab United States 7 146 0.5× 30 0.2× 144 0.8× 29 0.3× 54 0.6× 14 509
Tamar Guetta‐Baranes United Kingdom 12 204 0.7× 104 0.6× 163 0.9× 14 0.1× 47 0.6× 19 535
Wuxing Yuan United States 12 346 1.1× 112 0.6× 198 1.1× 8 0.1× 95 1.1× 12 753
Edward Zhao United States 6 483 1.6× 36 0.2× 54 0.3× 15 0.2× 108 1.3× 10 715
Lucas Trevizani Rasmussen Brazil 18 323 1.1× 54 0.3× 143 0.8× 17 0.2× 111 1.3× 46 751
Moses Zhang Australia 12 333 1.1× 281 1.5× 123 0.7× 19 0.2× 272 3.2× 15 654
Blake Paterson United States 11 268 0.9× 73 0.4× 48 0.3× 91 0.9× 32 0.4× 14 823
Ramasamy Selvarani United States 6 224 0.7× 22 0.1× 116 0.6× 26 0.3× 66 0.8× 10 462
Sébastian Jaeger Germany 11 264 0.9× 43 0.2× 328 1.8× 35 0.4× 114 1.3× 13 711
Zhifei Wang China 11 139 0.5× 62 0.3× 36 0.2× 11 0.1× 68 0.8× 41 396

Countries citing papers authored by Daryl S. Spinner

Since Specialization
Citations

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

Fields of papers citing papers by Daryl S. Spinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daryl S. Spinner

This figure shows the co-authorship network connecting the top 25 collaborators of Daryl S. Spinner. A scholar is included among the top collaborators of Daryl S. Spinner 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 Daryl S. Spinner. Daryl S. Spinner 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.
Husereau, Don, Lotte Steuten, David M. Thomas, et al.. (2022). Effective and Efficient Delivery of Genome-Based Testing-What Conditions Are Necessary for Health System Readiness?. Healthcare. 10(10). 2086–2086. 3 indexed citations
2.
Faulkner, E.C., et al.. (2019). Are Global Health Systems Ready for Transformative Therapies?. Value in Health. 22(6). 627–641. 21 indexed citations
5.
Spinner, Daryl S., et al.. (2015). The evolving Global role of nontraditional payers and Reinsurance in the Reimbursement of High Cost Therapies. Value in Health. 18(3). A218–A218.
6.
Spinner, Daryl S., et al.. (2014). Role of patients in sharing the decision to undertake bariatric surgery for treatment of obesity – a global market perspective. Value in Health. 17(3). A258–A258. 2 indexed citations
7.
Spinner, Daryl S., et al.. (2014). Global HTA Assessments of Ultra-Orphan Products: A Case Study Of Eculizumab (Soliris) and Iduronate-2-Sulfatase (Elaprase). Value in Health. 17(7). A431–A431. 1 indexed citations
9.
Cho, In Soo, Daryl S. Spinner, Richard J. Kascsak, et al.. (2013). Altered Lymphocyte Proliferation and Innate Immune Function in Scrapie 139A- and ME7-Infected Mice. Viral Immunology. 26(3). 192–200. 2 indexed citations
10.
Spinner, Daryl S., et al.. (2013). Health Technology Assessment of Companion Diagnostic Biomarkers as Gatekeepers for Personalized Medicine Market Access. Value in Health. 16(7). A376–A376. 1 indexed citations
11.
Spinner, Daryl S., et al.. (2013). Inflammatory mediators are inhibited by a taurine metabolite in CpG oligodeoxynucleotide and IFN-r activated macrophage cell line.. PubMed. 12(5). 551–7. 7 indexed citations
12.
Sadowski, Martin, Joanna Pankiewicz, Frances Prelli, et al.. (2009). Anti-PrP Mab 6D11 suppresses PrPSc replication in prion infected myeloid precursor line FDC-P1/22L and in the lymphoreticular system in vivo. Neurobiology of Disease. 34(2). 267–278. 34 indexed citations
13.
Scholtzova, Henrieta, Richard J. Kascsak, Kristyn A. Bates, et al.. (2009). Induction of Toll-Like Receptor 9 Signaling as a Method for Ameliorating Alzheimer's Disease-Related Pathology. Journal of Neuroscience. 29(6). 1846–1854. 142 indexed citations
14.
Gregori, Luisa, et al.. (2008). A sensitive and quantitative assay for normal PrP in plasma. Journal of Virological Methods. 149(2). 251–259. 13 indexed citations
15.
Spinner, Daryl S., In Soo Cho, Seung‐Yong Park, et al.. (2008). Accelerated Prion Disease Pathogenesis in Toll-Like Receptor 4 Signaling-Mutant Mice. Journal of Virology. 82(21). 10701–10708. 44 indexed citations
16.
Kim, Jae‐Il, Jae‐Kwang Jin, Eun‐Kyoung Choi, et al.. (2007). Increased expression and localization of cyclooxygenase-2 in astrocytes of scrapie-infected mice. Journal of Neuroimmunology. 187(1-2). 74–82. 6 indexed citations
17.
Pankiewicz, Joanna, Frances Prelli, Man‐Sun Sy, et al.. (2006). Clearance and prevention of prion infection in cell culture by anti‐PrP antibodies. European Journal of Neuroscience. 23(10). 2635–2647. 80 indexed citations
18.
Spinner, Daryl S., Shaohua Liu, Shaowen Wang, & Jakob Schmidt. (2002). Interaction of the myogenic determination factor myogenin with E12 and a DNA target: mechanism and kinetics. Journal of Molecular Biology. 317(3). 431–445. 20 indexed citations
19.
Liu, Shaohua, et al.. (2000). Interaction of MyoD Family Proteins with Enhancers of Acetylcholine Receptor Subunit Genes in Vivo. Journal of Biological Chemistry. 275(52). 41364–41368. 25 indexed citations
20.
Neville, Craig M., et al.. (1998). The E Protein CTF4 and Acetylcholine Receptor Expression in Development and Denervation Supersensitivity. Journal of Biological Chemistry. 273(22). 14046–14052. 9 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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