David P. Lovell

2.9k total citations
74 papers, 2.0k citations indexed

About

David P. Lovell is a scholar working on Cancer Research, Plant Science and Molecular Biology. According to data from OpenAlex, David P. Lovell has authored 74 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cancer Research, 17 papers in Plant Science and 14 papers in Molecular Biology. Recurrent topics in David P. Lovell's work include Carcinogens and Genotoxicity Assessment (29 papers), Genetically Modified Organisms Research (12 papers) and Effects and risks of endocrine disrupting chemicals (12 papers). David P. Lovell is often cited by papers focused on Carcinogens and Genotoxicity Assessment (29 papers), Genetically Modified Organisms Research (12 papers) and Effects and risks of endocrine disrupting chemicals (12 papers). David P. Lovell collaborates with scholars based in United Kingdom, United States and Japan. David P. Lovell's co-authors include Takashi Omori, Geb Thomas, H Dowson, Michael F. W. Festing, B. Bhaskar Gollapudi, Paul A. White, Tim Rockall, T.R. Worthington, N D Karanjia and Robert D. Combes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Agricultural and Food Chemistry.

In The Last Decade

David P. Lovell

73 papers receiving 1.9k citations

Peers

David P. Lovell

HTM

Denise E. Robinson United States

Dianne M. Creasy United Kingdom

Lois D. Lehman‐McKeeman United States

Joost H.M. van Delft Netherlands

Atsushi Ono Japan

Michael P. Holsapple United States

Wolfgang Kaufmann Germany

Thomas Nolte Germany

Gordon C. Hard United States

Edward W. Carney United States

Denise E. Robinson United States

David P. Lovell

407 ×0.6

720 ×1.2

446 ×1.0

HTM

310 ×0.9

329 ×1.2

Citations per year, relative to David P. Lovell David P. Lovell (= 1×) peers Denise E. Robinson

Countries citing papers authored by David P. Lovell

Since Specialization

Citations

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

Fields of papers citing papers by David P. Lovell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David P. Lovell

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Firman, James W., Alan R. Boobis, Heli M. Hollnagel, et al.. (2024). Evaluating the consistency of judgments derived through both in silico and expert application of the Cramer classification scheme. Food and Chemical Toxicology. 194. 115070–115070. 1 indexed citations

Kirkland, David, James Whitwell, Robert Smith, et al.. (2022). A comparison of the lowest effective concentration in culture media for detection of chromosomal damage in vitro and in blood or plasma for detection of micronuclei in vivo. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 879-880. 503503–503503. 1 indexed citations

Lovell, David P.. (2020). Null hypothesis significance testing and effect sizes: can we ‘effect’ everything … or … anything?. Current Opinion in Pharmacology. 51. 68–77. 5 indexed citations

Torous, Dorothea K., Svetlana L. Avlasevich, Lawrence J. Saubermann, et al.. (2020). Human blood PIG‐A mutation and micronucleated reticulocyte flow cytometric assays: Method optimization and evaluation of intra‐ and inter‐subject variation. Environmental and Molecular Mutagenesis. 61(8). 807–819. 13 indexed citations

Kirkland, David, Yoshifumi Uno, Mirjam Luijten, et al.. (2019). In vivo genotoxicity testing strategies: Report from the 7th International workshop on genotoxicity testing (IWGT). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 847. 403035–403035. 30 indexed citations

Lovell, David P., Mick D. Fellows, James Whitwell, et al.. (2019). Analysis of historical negative control group data from the rat in vivo micronucleus assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 849. 503086–503086. 2 indexed citations

Spencer, Nicholas G., David P. Lovell, Kay Elderfield, Brian Austen, & Franklyn A. Howe. (2016). Can MRI T1 be used to detect early changes in 5xFAD Alzheimer’s mouse brain?. Magnetic Resonance Materials in Physics Biology and Medicine. 30(2). 153–163. 4 indexed citations

Gollapudi, B. Bhaskar, Anthony M. Lynch, Robert H. Heflich, et al.. (2014). The in vivo Pig-a assay: A report of the International Workshop On Genotoxicity Testing (IWGT) Workgroup. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 783. 23–35. 128 indexed citations

Lovell, David P.. (2012). Commentary: statistics for biomarkers. Biomarkers. 17(3). 193–200. 2 indexed citations

10.

Syed, Nelofer, Helen M. Coley, Jalid Sehouli, et al.. (2011). Polo-like Kinase Plk2 Is an Epigenetic Determinant of Chemosensitivity and Clinical Outcomes in Ovarian Cancer. Cancer Research. 71(9). 3317–3327. 49 indexed citations

11.

Thybaud, Véronique, James T. MacGregor, Lutz Müller, et al.. (2010). Strategies in case of positive in vivo results in genotoxicity testing. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 723(2). 121–128. 14 indexed citations

12.

Millward, D. J., Jonathan E. Brown, Helen M. Macdonald, et al.. (2008). Estimates of daily net endogenous acid production in the elderly UK population: analysis of the National Diet and Nutrition Survey (NDNS) of British adults aged 65 years and over. British Journal Of Nutrition. 100(3). 615–623. 39 indexed citations

13.

Lovell, David P. & Takashi Omori. (2008). Statistical issues in the use of the comet assay. Mutagenesis. 23(3). 171–182. 224 indexed citations

14.

Masterton, R.G., et al.. (2007). Indicators of bacterial infection in patients with acute exacerbation of chronic bronchitis for application in clinical trials of antibacterial drugs. Journal of Infection. 55(3). 226–232. 8 indexed citations

15.

Dowson, H, Andy Huang, Yuen Soon, et al.. (2007). Systematic Review of the Costs of Laparoscopic Colorectal Surgery. Diseases of the Colon & Rectum. 50(6). 908–919. 58 indexed citations

16.

Cornuz, Jacques, et al.. (2006). Validation and reproducibility of a semi‐quantitative Food Frequency Questionnaire for use in elderly Swiss women. Journal of Human Nutrition and Dietetics. 19(5). 321–330. 34 indexed citations

17.

Ghayour‐Mobarhan, Majid, et al.. (2005). Plasma antibody titres to heat shock proteins‐60, ‐65 and‐70: Their relationship to coronary risk factors in dyslipidaemic patients and healthy individuals. Scandinavian Journal of Clinical and Laboratory Investigation. 65(7). 601–614. 19 indexed citations

18.

Lovell, David P.. (2000). Dose–response and threshold-mediated mechanisms in mutagenesis: statistical models and study design. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 464(1). 87–95. 28 indexed citations

19.

Lovell, David P.. (1999). Principal Component Analysis of Tissue Scores from Substances used in the COLIPA Eye Irritation Validation Study. Toxicology in Vitro. 13(3). 491–503. 4 indexed citations

20.

Archer, Graeme, Michael Balls, Leon H. Bruner, et al.. (1997). The Validation of Toxicological Prediction Models. Alternatives to Laboratory Animals. 25(5). 505–516. 9 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.

Explore authors with similar magnitude of impact