Daniel D. Sprockett

955 total citations · 1 hit paper
19 papers, 550 citations indexed

About

Daniel D. Sprockett is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, Daniel D. Sprockett has authored 19 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Food Science. Recurrent topics in Daniel D. Sprockett's work include Gut microbiota and health (11 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Genomics and Phylogenetic Studies (4 papers). Daniel D. Sprockett is often cited by papers focused on Gut microbiota and health (11 papers), Clostridium difficile and Clostridium perfringens research (5 papers) and Genomics and Phylogenetic Studies (4 papers). Daniel D. Sprockett collaborates with scholars based in United States, United Kingdom and Australia. Daniel D. Sprockett's co-authors include David A. Relman, Tadashi Fukami, Christopher B. Blackwood, Helen Piontkivska, Andrew H. Moeller, Marie S. Tuttle, Jon G. Sanders, Susan Holmes, Volodymyr Dvornyk and Adam R. Burns and has published in prestigious journals such as Nature Communications, Scientific Reports and Science Advances.

In The Last Decade

Daniel D. Sprockett

17 papers receiving 547 citations

Hit Papers

Role of priority effects in the early-life assembly of th... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers

Daniel D. Sprockett
Justin P. Shaffer United States
Valeria Agamennone Netherlands
Jannigje G. Kers Netherlands
Orna Mizrahi-Man United States
Tiantian Ren United States
Justin P. Shaffer United States
Daniel D. Sprockett
Citations per year, relative to Daniel D. Sprockett Daniel D. Sprockett (= 1×) peers Justin P. Shaffer

Countries citing papers authored by Daniel D. Sprockett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Sprockett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. Sprockett

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

All Works

19 of 19 papers shown
1.
Sprockett, Daniel D., et al.. (2025). Recent genetic drift in the co-diversified gut bacterial symbionts of laboratory mice. Nature Communications. 16(1). 2218–2218. 2 indexed citations
2.
Goldman, Samantha L., et al.. (2024). Hackflex library preparation enables low-cost metagenomic profiling. ISME Communications. 4(1). ycae075–ycae075.
3.
Zipple, Matthew N., et al.. (2024). Female behavior drives the formation of distinct social structures in C57BL/6J versus wild-derived outbred mice in field enclosures. BMC Biology. 22(1). 35–35. 15 indexed citations
4.
Sprockett, Daniel D., Jeffrey D. Price, Robert Schmaltz, et al.. (2023). Home-site advantage for host species–specific gut microbiota. Science Advances. 9(19). eadf5499–eadf5499. 16 indexed citations
5.
Trevelline, Brian K., et al.. (2023). Convergent remodelling of the gut microbiome is associated with host energetic condition over long‐distance migration. Functional Ecology. 37(11). 2840–2854. 7 indexed citations
6.
Sprockett, Daniel D. & Katharine Z. Coyte. (2023). When microbes go missing: Understanding the impact of diversity loss within the gut microbiome. Cell Host & Microbe. 31(8). 1249–1251.
7.
Sanders, Jon G., Daniel D. Sprockett, Yingying Li, et al.. (2023). Widespread extinctions of co-diversified primate gut bacterial symbionts from humans. Nature Microbiology. 8(6). 1039–1050. 27 indexed citations
8.
Moeller, Andrew H., et al.. (2023). Assessing co-diversification in host-associated microbiomes. Journal of Evolutionary Biology. 36(12). 1659–1668. 10 indexed citations
9.
Wells, Philippa M., Daniel D. Sprockett, Ruth C. E. Bowyer, et al.. (2022). Influential factors of saliva microbiota composition. Scientific Reports. 12(1). 18894–18894. 21 indexed citations
10.
Kurushima, Yuko, Philippa M. Wells, Ruth C. E. Bowyer, et al.. (2022). Host Genotype Links to Salivary and Gut Microbiota by Periodontal Status. Journal of Dental Research. 102(2). 146–156. 9 indexed citations
11.
Sprockett, Daniel D., Mélanie Martin, Elizabeth K. Costello, et al.. (2020). Microbiota assembly, structure, and dynamics among Tsimane horticulturalists of the Bolivian Amazon. Nature Communications. 11(1). 3772–3772. 29 indexed citations
12.
Sprockett, Daniel D., Natalie Fischer, Rotem Sigall Boneh, et al.. (2019). Treatment-Specific Composition of the Gut Microbiota Is Associated With Disease Remission in a Pediatric Crohn’s Disease Cohort. Inflammatory Bowel Diseases. 25(12). 1927–1938. 21 indexed citations
13.
Sprockett, Daniel D., Tadashi Fukami, & David A. Relman. (2018). Role of priority effects in the early-life assembly of the gut microbiota. Nature Reviews Gastroenterology & Hepatology. 15(4). 197–205. 270 indexed citations breakdown →
14.
Sprockett, Daniel D., et al.. (2016). Comparison of pectin-degrading fungal communities in temperate forests using glycosyl hydrolase family 28 pectinase primers targeting Ascomycete fungi. Journal of Microbiological Methods. 123. 108–113. 11 indexed citations
15.
Lichtman, Joshua S., Emily Alsentzer, Daniel D. Sprockett, et al.. (2015). The effect of microbial colonization on the host proteome varies by gastrointestinal location. The ISME Journal. 10(5). 1170–1181. 27 indexed citations
16.
Sprockett, Daniel D., et al.. (2015). Use of 16S rRNA sequencing and quantitative PCR to correlate venous leg ulcer bacterial bioburden dynamics with wound expansion, antibiotic therapy, and healing. Wound Repair and Regeneration. 23(5). 765–771. 17 indexed citations
17.
Sprockett, Daniel D., Helen Piontkivska, & Christopher B. Blackwood. (2011). Evolutionary analysis of glycosyl hydrolase family 28 (GH28) suggests lineage-specific expansions in necrotrophic fungal pathogens. Gene. 479(1-2). 29–36. 52 indexed citations
18.
Sprockett, Daniel D., et al.. (2010). Circadian Input Kinases and Their Homologs in Cyanobacteria: Evolutionary Constraints Versus Architectural Diversification. Journal of Molecular Evolution. 70(5). 453–465. 15 indexed citations
19.
Sprockett, Daniel D.. (2009). The Evolution of Fungal Pectinases in Glycosyl Hydrolase Family 28 and Their Association with Ecological Strategy. OhioLink ETD Center (Ohio Library and Information Network). 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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