David K. Jackson

20.0k total citations · 2 hit papers
43 papers, 3.5k citations indexed

About

David K. Jackson is a scholar working on Molecular Biology, Information Systems and Hardware and Architecture. According to data from OpenAlex, David K. Jackson has authored 43 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Information Systems and 6 papers in Hardware and Architecture. Recurrent topics in David K. Jackson's work include Teaching and Learning Programming (6 papers), Software Engineering Research (5 papers) and Genomics and Phylogenetic Studies (5 papers). David K. Jackson is often cited by papers focused on Teaching and Learning Programming (6 papers), Software Engineering Research (5 papers) and Genomics and Phylogenetic Studies (5 papers). David K. Jackson collaborates with scholars based in United Kingdom, United States and Germany. David K. Jackson's co-authors include Tony Cox, Vivek Iyer, Jessica Severin, Jennifer Harrow, A. Francis Stewart, Anthony P. West, Alejandro O. Mujica, Pieter J. de Jong, Patrick J. Biggs and Mark Thomas and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

David K. Jackson

38 papers receiving 3.4k citations

Hit Papers

A conditional knockout resource for the genome-wide study... 2011 2026 2016 2021 2011 2020 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David K. Jackson United Kingdom 18 1.8k 620 489 281 244 43 3.5k
Mark A. Sherman United States 39 1.8k 1.0× 699 1.1× 57 0.1× 95 0.3× 199 0.8× 103 4.1k
James Thompson United States 19 2.2k 1.2× 276 0.4× 173 0.4× 90 0.3× 127 0.5× 61 3.6k
Paul J. White Australia 31 1.0k 0.6× 91 0.1× 111 0.2× 77 0.3× 360 1.5× 152 2.8k
Mathieu Blanchette Canada 38 5.3k 2.9× 1.7k 2.7× 59 0.1× 72 0.3× 92 0.4× 125 6.4k
Michael Whitney United States 26 1.7k 1.0× 242 0.4× 62 0.1× 16 0.1× 488 2.0× 53 3.4k
Andreas Höfer Germany 27 616 0.3× 580 0.9× 13 0.0× 20 0.1× 267 1.1× 86 2.0k
Jennifer Harrow United Kingdom 35 4.5k 2.5× 908 1.5× 53 0.1× 14 0.0× 272 1.1× 61 6.1k
Robert Root‐Bernstein United States 30 1.0k 0.6× 318 0.5× 238 0.5× 33 0.1× 284 1.2× 183 3.3k
Timothy Grant United States 27 1.5k 0.8× 342 0.6× 415 0.8× 12 0.0× 293 1.2× 85 3.4k
Arvind Ramanathan United States 26 967 0.5× 89 0.1× 80 0.2× 4 0.0× 58 0.2× 130 1.8k

Countries citing papers authored by David K. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by David K. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David K. Jackson. 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 David K. Jackson. The network helps show where David K. Jackson may publish in the future.

Co-authorship network of co-authors of David K. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of David K. Jackson. A scholar is included among the top collaborators of David K. Jackson 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 David K. Jackson. David K. Jackson 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.
Durham, Jillian, Florent Lassalle, Carol Scott, et al.. (2025). Benchmarking of human read removal strategies for viral and microbial metagenomics. SHILAP Revista de lepidopterología. 5(11). 101218–101218.
2.
Andrews, Nick, Katja Höschler, Jo Southern, et al.. (2020). Pre-existing influenza-specific nasal IgA or nasal viral infection does not affect live attenuated influenza vaccine immunogenicity in children. Clinical & Experimental Immunology. 204(1). 125–133. 5 indexed citations
3.
Tillett, Richard, Joel Sevinsky, Paul D. Hartley, et al.. (2020). Genomic evidence for reinfection with SARS-CoV-2: a case study. The Lancet Infectious Diseases. 21(1). 52–58. 484 indexed citations breakdown →
4.
Jackson, David K., Nick Andrews, Jo Southern, et al.. (2019). Viral Shedding in Recipients of Live Attenuated Influenza Vaccine in the 2016–2017 and 2017–2018 Influenza Seasons in the United Kingdom. Clinical Infectious Diseases. 70(12). 2505–2513. 11 indexed citations
5.
Aigrain, Louise, Michael A. Quail, Paul Coupland, et al.. (2017). De novo yeast genome assemblies from MinION, PacBio and MiSeq platforms. Scientific Reports. 7(1). 3935–3935. 103 indexed citations
6.
Collins, John, Neha Wali, Ian M. Sealy, et al.. (2015). High-throughput and quantitative genome-wide messenger RNA sequencing for molecular phenotyping. BMC Genomics. 16(1). 578–578. 14 indexed citations
7.
Leonard, Philip & David K. Jackson. (2015). Efficient Evolution of High Entropy RNGs Using Single Node Genetic Programming. 1071–1078. 2 indexed citations
8.
Quail, Michael A., David K. Jackson, Steven Leonard, et al.. (2014). SASI-Seq: sample assurance Spike-Ins, and highly differentiating 384 barcoding for Illumina sequencing. BMC Genomics. 15(1). 110–110. 40 indexed citations
9.
Skarnes, William C., Barry P. Rosen, Anthony P. West, et al.. (2011). A conditional knockout resource for the genome-wide study of mouse gene function. Nature. 474(7351). 337–342. 1208 indexed citations breakdown →
10.
Mao, Shu, Richard K.P. Benninger, Yuling Yan, et al.. (2008). Optical Lock-In Detection of FRET Using Synthetic and Genetically Encoded Optical Switches. Biophysical Journal. 94(11). 4515–4524. 73 indexed citations
11.
Tomazou, Eleni M., Vardhman K. Rakyan, Grégory Lefebvre, et al.. (2008). Generation of a genomic tiling array of the human Major Histocompatibility Complex (MHC) and its application for DNA methylation analysis. BMC Medical Genomics. 1(1). 19–19. 23 indexed citations
12.
Illingworth, Robert S., Alastair Kerr, Helle F. Jørgensen, et al.. (2008). A Novel CpG Island Set Identifies Tissue-Specific Methylation at Developmental Gene Loci. PLoS Biology. 6(1). e22–e22. 470 indexed citations
13.
Rakyan, Vardhman K., Thomas A. Down, Natalie Thorne, et al.. (2008). An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs). Genome Research. 18(9). 1518–1529. 290 indexed citations
14.
Jackson, David K.. (2000). A semi-automated approach to online assessment. 164–167. 49 indexed citations
15.
Jackson, David K.. (1996). Utilizing the World Wide Web for Middle School Geography.. 10(4). 9–11. 2 indexed citations
16.
Jackson, David K., et al.. (1994). Modelling circuit delays in a demand driven simulator. Computers & Electrical Engineering. 20(4). 309–318. 1 indexed citations
17.
Davies, Jim, David K. Jackson, & Steve Schneider. (1991). Broadcast communication for real-time Processes. View. 149–169.
18.
Jackson, David K.. (1991). Using software tools to automate the assessment of student programs. Computers & Education. 17(2). 133–143. 15 indexed citations
19.
Jackson, David K., et al.. (1989). A functional model of clocked microarchitectures. 207–212. 1 indexed citations
20.
Jackson, David K., et al.. (1982). Age Differences in Organization and Recall: An Analysis of Rehearsal Processes. Psychological Reports. 50(3). 919–924. 5 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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