Daniel J. Nasko

933 total citations
16 papers, 455 citations indexed

About

Daniel J. Nasko is a scholar working on Ecology, Molecular Biology and Water Science and Technology. According to data from OpenAlex, Daniel J. Nasko has authored 16 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 5 papers in Molecular Biology and 3 papers in Water Science and Technology. Recurrent topics in Daniel J. Nasko's work include Bacteriophages and microbial interactions (12 papers), Microbial Community Ecology and Physiology (6 papers) and Fecal contamination and water quality (3 papers). Daniel J. Nasko is often cited by papers focused on Bacteriophages and microbial interactions (12 papers), Microbial Community Ecology and Physiology (6 papers) and Fecal contamination and water quality (3 papers). Daniel J. Nasko collaborates with scholars based in United States. Daniel J. Nasko's co-authors include K. Eric Wommack, Shawn W. Polson, Jessica Chopyk, Eric G. Sakowski, Jaysheel Bhavsar, Jing Chen, Michaël Dumas, Amy R. Sapkota, Sharath Srinivasiah and Emmanuel F. Mongodin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and Water Research.

In The Last Decade

Daniel J. Nasko

16 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Nasko United States	13	312	205	115	58	50	16	455
Ksenia Arkhipova United Kingdom	8	407 1.3×	291 1.4×	92 0.8×	67 1.2×	94 1.9×	14	652
Amandine Perrin France	7	222 0.7×	225 1.1×	60 0.5×	35 0.6×	47 0.9×	9	537
Donald P. Breakwell United States	14	300 1.0×	265 1.3×	149 1.3×	29 0.5×	35 0.7×	29	616
Solange Miele Argentina	10	167 0.5×	370 1.8×	56 0.5×	28 0.5×	93 1.9×	13	591
Sanaa Ahmed United States	7	242 0.8×	231 1.1×	57 0.5×	88 1.5×	40 0.8×	8	510
Natsuko Nakayama Japan	12	391 1.3×	135 0.7×	148 1.3×	66 1.1×	18 0.4×	29	490
Dhritiman Ghosh United States	10	449 1.4×	185 0.9×	187 1.6×	69 1.2×	53 1.1×	10	555
Katherine Dahlhausen United States	6	105 0.3×	217 1.1×	38 0.3×	58 1.0×	23 0.5×	8	434
Ivana Mašlaňová Czechia	17	375 1.2×	409 2.0×	99 0.9×	201 3.5×	49 1.0×	42	741
Tomeu Viver Spain	15	310 1.0×	325 1.6×	84 0.7×	22 0.4×	25 0.5×	50	594

Countries citing papers authored by Daniel J. Nasko

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Nasko'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. Nasko 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. Nasko more than expected).

Fields of papers citing papers by Daniel J. Nasko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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16 of 16 papers shown

Balaji, Advait, Bryce Kille, Anthony D. Kappell, et al.. (2022). SeqScreen: accurate and sensitive functional screening of pathogenic sequences via ensemble learning. Genome biology. 23(1). 133–133. 14 indexed citations

Murray, Rianna, Raul Cruz‐Cano, Daniel J. Nasko, et al.. (2021). Prevalence of private drinking water wells is associated with salmonellosis incidence in Maryland, USA: An ecological analysis using foodborne diseases active surveillance network (FoodNet) data (2007–2016). The Science of The Total Environment. 787. 147682–147682. 3 indexed citations

Chopyk, Jessica, Daniel J. Nasko, Sarah M. Allard, et al.. (2020). Seasonal dynamics in taxonomy and function within bacterial and viral metagenomic assemblages recovered from a freshwater agricultural pond. Environmental Microbiome. 15(1). 18–18. 18 indexed citations

Murray, Rianna, Raul Cruz‐Cano, Daniel J. Nasko, et al.. (2020). Association between private drinking water wells and the incidence of Campylobacteriosis in Maryland: An ecological analysis using Foodborne Diseases Active Surveillance Network (FoodNet) data (2007–2016). Environmental Research. 188. 109773–109773. 11 indexed citations

Kulkarni, Prachi, Nathan D. Olson, Anthony Bui, et al.. (2020). Zero-Valent Iron Sand Filtration Can Reduce Human and Plant Pathogenic Bacteria While Increasing Plant Growth Promoting Bacteria in Reclaimed Water. Frontiers in Environmental Science. 8. 10 indexed citations

Chopyk, Jessica, Daniel J. Nasko, Sarah M. Allard, et al.. (2019). Comparative metagenomic analysis of microbial taxonomic and functional variations in untreated surface and reclaimed waters used in irrigation applications. Water Research. 169. 115250–115250. 27 indexed citations

Chopyk, Jessica, Prachi Kulkarni, Daniel J. Nasko, et al.. (2019). Zero-valent iron sand filtration reduces concentrations of virus-like particles and modifies virome community composition in reclaimed water used for agricultural irrigation. BMC Research Notes. 12(1). 223–223. 12 indexed citations

Chopyk, Jessica, Daniel J. Nasko, Sarah M. Allard, et al.. (2019). Metagenomic analysis of bacterial and viral assemblages from a freshwater creek and irrigated field reveals temporal and spatial dynamics. The Science of The Total Environment. 706. 135395–135395. 15 indexed citations

Nasko, Daniel J., Barbra D. Ferrell, Ryan M. Moore, et al.. (2019). CRISPR Spacers Indicate Preferential Matching of Specific Virioplankton Genes. mBio. 10(2). 25 indexed citations

10.

Nasko, Daniel J., Jessica Chopyk, Eric G. Sakowski, et al.. (2018). Family A DNA Polymerase Phylogeny Uncovers Diversity and Replication Gene Organization in the Virioplankton. Frontiers in Microbiology. 9. 3053–3053. 17 indexed citations

11.

Chopyk, Jessica, Sarah M. Allard, Daniel J. Nasko, et al.. (2018). Agricultural Freshwater Pond Supports Diverse and Dynamic Bacterial and Viral Populations. Frontiers in Microbiology. 9. 792–792. 24 indexed citations

12.

Marine, Rachel L., et al.. (2017). Novel chaperonins are prevalent in the virioplankton and demonstrate links to viral biology and ecology. The ISME Journal. 11(11). 2479–2491. 18 indexed citations

13.

Johnson, Timothy A., Torey Looft, Andrew Severin, et al.. (2017). The In-Feed Antibiotic Carbadox Induces Phage Gene Transcription in the Swine Gut Microbiome. mBio. 8(4). 36 indexed citations

14.

Nasko, Daniel J., et al.. (2015). Counts and sequences, observations that continue to change our understanding of viruses in nature. The Journal of Microbiology. 53(3). 181–192. 51 indexed citations

15.

Sakowski, Eric G., et al.. (2014). Ribonucleotide reductases reveal novel viral diversity and predict biological and ecological features of unknown marine viruses. Proceedings of the National Academy of Sciences. 111(44). 15786–15791. 42 indexed citations

16.

Wommack, K. Eric, Jaysheel Bhavsar, Shawn W. Polson, et al.. (2012). VIROME: a standard operating procedure for analysis of viral metagenome sequences. Standards in Genomic Sciences. 6(3). 427–439. 132 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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