Daniel J. Sprague

624 total citations
28 papers, 376 citations indexed

About

Daniel J. Sprague is a scholar working on Molecular Biology, Organic Chemistry and Ecology. According to data from OpenAlex, Daniel J. Sprague has authored 28 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Organic Chemistry and 6 papers in Ecology. Recurrent topics in Daniel J. Sprague's work include Parasite Biology and Host Interactions (6 papers), Parasites and Host Interactions (6 papers) and Protein Degradation and Inhibitors (4 papers). Daniel J. Sprague is often cited by papers focused on Parasite Biology and Host Interactions (6 papers), Parasites and Host Interactions (6 papers) and Protein Degradation and Inhibitors (4 papers). Daniel J. Sprague collaborates with scholars based in United States, Germany and Switzerland. Daniel J. Sprague's co-authors include J. Mauro Calabrese, Jeffrey N. Johnston, Kevin M. Weeks, David W. Collins, Kaoru Inoue, Allison R. Baker, Shuo Wang, Matthew J. Smola, Susan O. Kim and Joshua S. Wooten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Daniel J. Sprague

23 papers receiving 372 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 J. Sprague United States 9 269 152 64 27 27 28 376
Biagina Marrocco Italy 14 414 1.5× 50 0.3× 60 0.9× 6 0.2× 6 0.2× 14 493
W. Mann Germany 9 210 0.8× 44 0.3× 38 0.6× 27 1.0× 16 0.6× 42 363
Lotteke J. Y. M. Swier Netherlands 11 163 0.6× 35 0.2× 28 0.4× 6 0.2× 6 0.2× 11 249
Erika Pellegrini France 10 220 0.8× 19 0.1× 25 0.4× 7 0.3× 29 1.1× 16 323
Johanna Heideker United States 10 500 1.9× 37 0.2× 21 0.3× 23 0.9× 14 0.5× 10 546
Jayant Asthana India 8 274 1.0× 10 0.1× 92 1.4× 20 0.7× 6 0.2× 9 422
Annabelle Hoegl Canada 11 250 0.9× 10 0.1× 63 1.0× 20 0.7× 6 0.2× 13 359
Donatella Labella Italy 8 289 1.1× 28 0.2× 113 1.8× 3 0.1× 7 0.3× 8 394
Marie M. Grenan United States 12 83 0.3× 23 0.2× 65 1.0× 8 0.3× 13 0.5× 31 319

Countries citing papers authored by Daniel J. Sprague

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Sprague

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Sprague

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Sprague. A scholar is included among the top collaborators of Daniel J. Sprague 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 J. Sprague. Daniel J. Sprague 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
2.
Bland, Alison M., Daniel J. Sprague, Yeun‐Mun Choo, et al.. (2025). Aleutianamine B, A Novel Chiral Sulfoxide Isolated from Latrunculia spp. and Generated via Semi-Synthesis, Exhibits Selectivity for Ovarian Cancer Cells. Journal of Natural Products. 89(1). 73–81.
3.
Ball, Lauren E., et al.. (2025). BRD9 functions as a methylarginine reader to regulate AKT-EZH2 signaling. Science Advances. 11(17). eads6385–eads6385.
4.
Sprague, Daniel J., Claudia M. Rohr, Evgeny G. Chulkov, et al.. (2024). Target-based discovery of a broad-spectrum flukicide. Nature Structural & Molecular Biology. 31(9). 1386–1393. 4 indexed citations
5.
Sprague, Daniel J., Claudia M. Rohr, & Jonathan S. Marchant. (2024). TRP drop, TRP drop: a steady patter of anti-schistosomal target illumination. SHILAP Revista de lepidopterología. 3. 1349623–1349623.
6.
Sprague, Daniel J., et al.. (2023). The anthelmintic meclonazepam activates a schistosome transient receptor potential channel. Journal of Biological Chemistry. 300(1). 105528–105528. 3 indexed citations
7.
Sprague, Daniel J., et al.. (2023). Mu-opioid receptor selective superagonists produce prolonged respiratory depression. iScience. 26(7). 107121–107121. 32 indexed citations
8.
Sprague, Daniel J., et al.. (2023). Molecular and cellular basis of praziquantel action in the cardiovascular system. American Journal of Physiology-Cell Physiology. 324(2). C573–C587. 3 indexed citations
9.
Keyes, Robert F., Donna McAllister, Francis C. Peterson, et al.. (2022). Fluorinated triphenylphosphonium analogs improve cell selectivity and in vivo detection of mito-metformin. iScience. 25(12). 105670–105670. 6 indexed citations
10.
Gunaratne, Gihan S., Robyn T. Rebbeck, Yasheng Yan, et al.. (2021). Identification of a dihydropyridine scaffold that blocks ryanodine receptors. iScience. 25(1). 103706–103706. 1 indexed citations
11.
Sprague, Daniel J. & Jeffrey N. Johnston. (2020). Substituted Imidazoline Synthesis: A Diastereo- and Enantioselective aza-Henry Route to a Human Proteasome Modulator. Organic Letters. 22(21). 8496–8499. 5 indexed citations
12.
Goetz, Christopher G., Daniel J. Sprague, & Brian C. Smith. (2020). Development of activity-based probes for the protein deacylase Sirt1. Bioorganic Chemistry. 104. 104232–104232. 6 indexed citations
13.
Sprague, Daniel J., et al.. (2020). Classification of Long Noncoding RNAs by k-mer Content. Methods in molecular biology. 2254. 41–60. 5 indexed citations
14.
Sprague, Daniel J., Shafagh A. Waters, Jeremy Wang, et al.. (2019). Nonlinear sequence similarity between the Xist and Rsx long noncoding RNAs suggests shared functions of tandem repeat domains. RNA. 25(8). 1004–1019. 20 indexed citations
15.
Sprague, Daniel J., Anand Singh, & Jeffrey N. Johnston. (2018). Diastereo- and enantioselective additions of α-nitro esters to imines for anti-α,β-diamino acid synthesis with α-alkyl-substitution. Chemical Science. 9(8). 2336–2339. 21 indexed citations
16.
Kim, Susan O., Kaoru Inoue, Matthew J. Smola, et al.. (2018). Functional classification of long non-coding RNAs by k-mer content. Nature Genetics. 50(10). 1474–1482. 167 indexed citations
17.
Arnold, Donald H., et al.. (2016). Count on It! Accurately Measured Respiratory Rate Is Associated with Lung Function and Clinical Severity in Children with Acute Asthma Exacerbations. The Journal of Pediatrics. 175. 236–236.e1. 3 indexed citations
18.
Sprague, Daniel J., Benjamin M. Nugent, Ryan A. Yoder, Brandon Vara, & Jeffrey N. Johnston. (2015). Adaptation of a Small-Molecule Hydrogen-Bond Donor Catalyst to an Enantioselective Hetero-Diels–Alder Reaction Hypothesized for Brevianamide Biosynthesis. Organic Letters. 17(4). 880–883. 10 indexed citations
19.
Sprague, Daniel J., et al.. (2012). Enantio- and periselective nitroalkene Diels–Alder reaction. Organic & Biomolecular Chemistry. 10(46). 9134–9134. 16 indexed citations
20.
Sierra, Teresa, et al.. (1999). Migrating atelectasis in Werdnig-Hoffmann disease: Pulmonary manifestations in two cases of spinal muscular atrophy type 1. Pediatric Pulmonology. 28(2). 149–153. 6 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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