David Harris

11.9k total citations
11 papers, 672 citations indexed

About

David Harris is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, David Harris has authored 11 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in David Harris's work include Bacteriophages and microbial interactions (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Microbial infections and disease research (2 papers). David Harris is often cited by papers focused on Bacteriophages and microbial interactions (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Microbial infections and disease research (2 papers). David Harris collaborates with scholars based in United Kingdom, United States and Norway. David Harris's co-authors include Ross A. Hauser, Kathy Seeger, Michael A. Quail, Julian Parkhill, Nicholas R. Thomson, Irena Kukavica‐Ibrulj, Roger C. Lévesque, David Saunders, Alexandra Bignell and Joanne L. Fothergill and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Harris

11 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Harris United Kingdom 8 304 129 123 118 104 11 672
Sharon E. Thomas United States 17 319 1.0× 43 0.3× 88 0.7× 215 1.8× 47 0.5× 21 796
Juan José Martínez Colombia 7 160 0.5× 22 0.2× 51 0.4× 278 2.4× 213 2.0× 17 622
James Murphy Ireland 17 466 1.5× 527 4.1× 28 0.2× 105 0.9× 30 0.3× 22 843
Terri Hathcock United States 14 128 0.4× 16 0.1× 50 0.4× 70 0.6× 36 0.3× 33 587
Gabriella S. Stuart New Zealand 10 144 0.5× 97 0.8× 26 0.2× 65 0.6× 25 0.2× 14 605
Hilton J. Klein United States 15 311 1.0× 21 0.2× 14 0.1× 140 1.2× 32 0.3× 30 945
Philip Mabon Canada 13 243 0.8× 97 0.8× 56 0.5× 126 1.1× 156 1.5× 17 693
Amandine Martin France 14 404 1.3× 16 0.1× 13 0.1× 45 0.4× 49 0.5× 23 649
Rory Eutsey United States 13 183 0.6× 50 0.4× 36 0.3× 298 2.5× 25 0.2× 25 541
Jorge Zorzópulos Argentina 14 292 1.0× 141 1.1× 28 0.2× 68 0.6× 69 0.7× 50 715

Countries citing papers authored by David Harris

Since Specialization
Citations

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

Fields of papers citing papers by David Harris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Harris

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

All Works

11 of 11 papers shown
3.
Hauser, Ross A., et al.. (2016). A Systematic Review of Dextrose Prolotherapy for Chronic Musculoskeletal Pain. SHILAP Revista de lepidopterología. 9. CMAMD.S39160–CMAMD.S39160. 138 indexed citations
4.
Howell, Kate J., Lucy A. Weinert, Roy R. Chaudhuri, et al.. (2014). The use of genome wide association methods to investigate pathogenicity, population structure and serovar in Haemophilus parasuis. BMC Genomics. 15(1). 1179–1179. 31 indexed citations
5.
Mavian, Carla, Alberto López-Bueno, Neil A. Bryant, et al.. (2014). The genome sequence of ectromelia virus Naval and Cornell isolates from outbreaks in North America. Virology. 462-463. 218–226. 22 indexed citations
6.
Clark, Taane G., Kim Mallard, Francesc Coll, et al.. (2013). Elucidating Emergence and Transmission of Multidrug-Resistant Tuberculosis in Treatment Experienced Patients by Whole Genome Sequencing. PLoS ONE. 8(12). e83012–e83012. 56 indexed citations
7.
Winstanley, Craig, Morgan G. I. Langille, Joanne L. Fothergill, et al.. (2008). Newly introduced genomic prophage islands are critical determinants of in vivo competitiveness in the Liverpool Epidemic Strain of Pseudomonas aeruginosa. Genome Research. 19(1). 12–23. 269 indexed citations
8.
Hjerde, Erik, Matthew T. G. Holden, Kathy Seeger, et al.. (2008). The genome sequence of the fish pathogen Aliivibrio salmonicida strain LFI1238 shows extensive evidence of gene decay. BMC Genomics. 9(1). 616–616. 77 indexed citations
9.
Párraga, Humberto C., et al.. (2007). Tic Exacerbation and Precipitation during Atomoxetine Treatment in Two Children with Attention-Deficit Hyperactivity Disorder. The International Journal of Psychiatry in Medicine. 37(4). 415–424. 23 indexed citations
10.
Keely, Scott P., Hubert Renauld, Ann E. Wakefield, et al.. (2005). Gene Arrays atPneumocystis cariniiTelomeres. Genetics. 170(4). 1589–1600. 53 indexed citations
11.
Schuller‐Levis, Georgia, et al.. (1987). Defective monocyte chemotaxis in active lepromatous leprosy.. PubMed. 55(2). 267–72. 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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