David N. Lees

4.3k total citations
55 papers, 2.9k citations indexed

About

David N. Lees is a scholar working on Infectious Diseases, Animal Science and Zoology and Ecology. According to data from OpenAlex, David N. Lees has authored 55 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 13 papers in Animal Science and Zoology and 12 papers in Ecology. Recurrent topics in David N. Lees's work include Viral gastroenteritis research and epidemiology (38 papers), Animal Virus Infections Studies (13 papers) and Bacteriophages and microbial interactions (10 papers). David N. Lees is often cited by papers focused on Viral gastroenteritis research and epidemiology (38 papers), Animal Virus Infections Studies (13 papers) and Bacteriophages and microbial interactions (10 papers). David N. Lees collaborates with scholars based in United Kingdom, Spain and United States. David N. Lees's co-authors include Kathleen Henshilwood, James Lowther, William Doré, Carlos Campos, Julia A. Tree, Andrew D. Turner, Craig Baker‐Austin, Vincent R. Hill, N. Jothikumar and Jan Vinjé and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

David N. Lees

55 papers receiving 2.8k 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 N. Lees United Kingdom 28 1.8k 470 410 406 380 55 2.9k
M. Pommepuy France 32 2.5k 1.4× 784 1.7× 729 1.8× 697 1.7× 59 0.2× 65 4.0k
W. O. K. Grabow South Africa 32 1.1k 0.6× 172 0.4× 862 2.1× 292 0.7× 90 0.2× 93 2.8k
Gillian D. Lewis New Zealand 33 696 0.4× 199 0.4× 540 1.3× 171 0.4× 219 0.6× 87 3.2k
Luciana Croci Italy 27 839 0.5× 257 0.5× 57 0.1× 229 0.6× 110 0.3× 55 2.1k
Christophe Gantzer France 37 2.1k 1.2× 258 0.5× 1.3k 3.2× 234 0.6× 40 0.1× 109 3.9k
Kumiko Oguma Japan 31 924 0.5× 160 0.3× 849 2.1× 104 0.3× 262 0.7× 95 3.2k
Per‐Eric Lindgren Sweden 36 1.9k 1.1× 97 0.2× 170 0.4× 101 0.2× 216 0.6× 110 4.4k
Mohammad Mustafizur Rahman Bangladesh 28 363 0.2× 174 0.4× 155 0.4× 210 0.5× 109 0.3× 110 2.2k
Craig Wallis United States 36 1.7k 1.0× 290 0.6× 465 1.1× 520 1.3× 37 0.1× 125 3.6k
William M. Nelson United States 31 617 0.3× 280 0.6× 113 0.3× 613 1.5× 227 0.6× 81 3.3k

Countries citing papers authored by David N. Lees

Since Specialization
Citations

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

Fields of papers citing papers by David N. Lees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David N. Lees

This figure shows the co-authorship network connecting the top 25 collaborators of David N. Lees. A scholar is included among the top collaborators of David N. Lees 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 N. Lees. David N. Lees 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.
Walker, David I., et al.. (2019). Assessment of the Applicability of Capsid-Integrity Assays for Detecting Infectious Norovirus Inactivated by Heat or UV Irradiation. Food and Environmental Virology. 11(3). 229–237. 14 indexed citations
2.
Lowther, James, et al.. (2019). Use of F-Specific RNA Bacteriophage to Estimate Infectious Norovirus Levels in Oysters. Food and Environmental Virology. 11(3). 247–258. 20 indexed citations
3.
Kleczkowski, A., et al.. (2018). A model for estimating pathogen variability in shellfish and predicting minimum depuration times. PLoS ONE. 13(3). e0193865–e0193865. 17 indexed citations
4.
Walker, David I., et al.. (2017). A highly specific Escherichia coli qPCR and its comparison with existing methods for environmental waters. Water Research. 126. 101–110. 89 indexed citations
6.
Campos, Carlos, et al.. (2016). Risk factors for norovirus contamination of shellfish water catchments in England and Wales. International Journal of Food Microbiology. 241. 318–324. 35 indexed citations
7.
Campos, Carlos, et al.. (2016). Human norovirus in untreated sewage and effluents from primary, secondary and tertiary treatment processes. Water Research. 103. 224–232. 60 indexed citations
8.
Moore, Michael N., Michael H. Depledge, Lora E. Fleming, et al.. (2013). Oceans and Human Health (OHH): a European Perspective from the Marine Board of the European Science Foundation (Marine Board-ESF). Microbial Ecology. 65(4). 889–900. 30 indexed citations
9.
Lowther, James, et al.. (2012). Comparison of Norovirus RNA Levels in Outbreak-Related Oysters with Background Environmental Levels. Journal of Food Protection. 75(2). 389–393. 66 indexed citations
10.
Turner, Andrew D., Monika Dhanji‐Rapkova, Myriam Algoet, et al.. (2011). Investigations into matrix components affecting the performance of the official bioassay reference method for quantitation of paralytic shellfish poisoning toxins in oysters. Toxicon. 59(2). 215–230. 33 indexed citations
11.
Baker‐Austin, Craig, Rachel Hartnell, James Lowther, et al.. (2011). pilF polymorphism-based real-time PCR to distinguish Vibrio vulnificus strains of human health relevance. Food Microbiology. 30(1). 17–23. 28 indexed citations
12.
Hartnell, Rachel, et al.. (2011). The development of LENTICULES™ as reference materials for noroviruses. Journal of Applied Microbiology. 112(2). 338–345. 6 indexed citations
13.
Rangdale, Rachel, et al.. (2010). Human Norovirus RNA Persists in Seawater under Simulated Winter Conditions but Does Not Bioaccumulate Efficiently in Pacific Oysters (Crassostrea gigas). Journal of Food Protection. 73(11). 2123–2127. 25 indexed citations
15.
Baker‐Austin, Craig, Jill Morris, James Lowther, Rachel Rangdale, & David N. Lees. (2009). Rapid identification and differentiation of agricultural faecal contamination sources using multiplex PCR. Letters in Applied Microbiology. 49(4). 529–532. 9 indexed citations
16.
Lowther, James, Kathleen Henshilwood, & David N. Lees. (2008). Determination of Norovirus Contamination in Oysters from Two Commercial Harvesting Areas over an Extended Period, Using Semiquantitative Real-Time Reverse Transcription PCR. Journal of Food Protection. 71(7). 1427–1433. 68 indexed citations
17.
Gallacher, Susan, et al.. (2007). A Sensitive and Reliable Reverse Transcriptase PCR–Enzyme-Linked Immunosorbent Assay for the Detection of Human Pathogenic Viruses in Bivalve Molluscs. Journal of Food Protection. 70(6). 1475–1482. 6 indexed citations
18.
Tree, Julia A., M. R. Adams, & David N. Lees. (2004). Disinfection of feline calicivirus (a surrogate for Norovirus) in wastewaters. Journal of Applied Microbiology. 98(1). 155–162. 58 indexed citations
19.
Doré, William, et al.. (2003). Levels of male-specific RNA bacteriophage and Escherichia coli in molluscan bivalve shellfish from commercial harvesting areas. Letters in Applied Microbiology. 36(2). 92–96. 21 indexed citations
20.
Lees, David N., et al.. (1992). Monoclonal antibodies for the identification of herpesvirus simiae (B virus). Archives of Virology. 123(3-4). 267–277. 16 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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