David J. Smith

3.2k total citations
133 papers, 2.6k citations indexed

About

David J. Smith is a scholar working on Animal Science and Zoology, Health, Toxicology and Mutagenesis and Food Science. According to data from OpenAlex, David J. Smith has authored 133 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Animal Science and Zoology, 39 papers in Health, Toxicology and Mutagenesis and 28 papers in Food Science. Recurrent topics in David J. Smith's work include Pharmacological Effects and Assays (38 papers), Chemical Analysis and Environmental Impact (22 papers) and Pesticide Residue Analysis and Safety (21 papers). David J. Smith is often cited by papers focused on Pharmacological Effects and Assays (38 papers), Chemical Analysis and Environmental Impact (22 papers) and Pesticide Residue Analysis and Safety (21 papers). David J. Smith collaborates with scholars based in United States, United Kingdom and Australia. David J. Smith's co-authors include Weilin L. Shelver, Janice K. Huwe, Roy M. Harrison, Robin C. Anderson, Heldur Hakk, Nancy W. Shappell, Casimiro Pio, Luís M. Castro, G. D. Paulson and Sara J. Lupton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

David J. Smith

129 papers receiving 2.5k 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 J. Smith United States 28 882 784 616 506 269 133 2.6k
Francesco Arioli Italy 28 285 0.3× 410 0.5× 366 0.6× 460 0.9× 350 1.3× 118 2.3k
Julie Vanden Bussche Belgium 29 414 0.5× 355 0.5× 694 1.1× 376 0.7× 400 1.5× 71 2.1k
R. Draisci Italy 32 326 0.4× 242 0.3× 891 1.4× 352 0.7× 148 0.6× 73 2.4k
Joel Bitman United States 37 943 1.1× 909 1.2× 484 0.8× 346 0.7× 135 0.5× 189 4.6k
Wen‐Qing Lu China 38 376 0.4× 2.3k 3.0× 770 1.3× 310 0.6× 360 1.3× 133 4.1k
Marie‐Louise Scippo Belgium 39 382 0.4× 1.5k 1.9× 1.0k 1.6× 1.0k 2.0× 943 3.5× 221 5.4k
Lihua Yang China 33 243 0.3× 1.2k 1.6× 351 0.6× 265 0.5× 1.7k 6.2× 94 3.5k
María Luisa Fernández‐Cruz Spain 29 176 0.2× 755 1.0× 410 0.7× 331 0.7× 529 2.0× 79 3.1k
Marco Blokland Netherlands 26 264 0.3× 231 0.3× 413 0.7× 326 0.6× 401 1.5× 74 1.9k
Gunnar Sundstøl Eriksen Norway 32 162 0.2× 1.8k 2.3× 505 0.8× 453 0.9× 462 1.7× 80 4.2k

Countries citing papers authored by David J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by David J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Smith. A scholar is included among the top collaborators of David J. Smith 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 J. Smith. David J. Smith 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.
Venturini, Mauro, João Diego de Agostini Losano, Mohammad Abdul Momin Siddique, et al.. (2025). Residual feed intake and reproductive-related parameters in yearling Brangus bulls. Journal of Animal Science. 103.
2.
Lupton, Sara J., et al.. (2025). Tissue histology and depuration of per- and polyfluoroalkyl substances (PFAS) from dairy cattle with lifetime exposures to PFAS-contaminated drinking water and feed. Food Additives & Contaminants Part A. 42(2). 223–239. 2 indexed citations
3.
Colmenárez, Yelitza C., et al.. (2023). Regulatory Frameworks for the Access and Use of Genetic Resources in Latin America. Neotropical Entomology. 52(2). 333–344. 4 indexed citations
4.
Moore, Chris, Charles Griffiths, Matthew T. Heberling, et al.. (2023). Measuring the social benefits of water quality improvements to support regulatory objectives: Progress and future directions. Proceedings of the National Academy of Sciences. 120(18). e2120247120–e2120247120. 10 indexed citations
5.
Lupton, Sara J., David J. Smith, E. J. Scholljegerdes, et al.. (2022). Plasma and Skin Per- and Polyfluoroalkyl Substance (PFAS) Levels in Dairy Cattle with Lifetime Exposures to PFAS-Contaminated Drinking Water and Feed. Journal of Agricultural and Food Chemistry. 70(50). 15945–15954. 26 indexed citations
6.
Allen, Kelly‐Ann, et al.. (2022). Towards improving peer review: Crowd-sourced insights from Twitter. Journal of University Teaching and Learning Practice. 19(3). 3 indexed citations
7.
Lupton, Sara J., Francis X. M. Casey, David J. Smith, & Heldur Hakk. (2021). Perfluorooctanoic Acid Transport in Soil and Absorption and Distribution in Alfalfa (Medicago sativa). Journal of Food Protection. 85(1). 164–172. 4 indexed citations
8.
Shelver, Weilin L., et al.. (2021). Evaluation of rapid and standard tandem mass spectrometric methods to analyse veterinary drugs and their metabolites in antemortem bodily fluids from food animals. Food Additives & Contaminants Part A. 39(3). 462–474. 5 indexed citations
9.
Smith, David J., et al.. (2019). Detection and quantification of residues in sheep exposed to trace levels of dietary zilpaterol HCl. Food Additives & Contaminants Part A. 36(9). 1289–1301. 14 indexed citations
10.
Shelver, Weilin L., Sara J. Lupton, Nancy W. Shappell, David J. Smith, & Heldur Hakk. (2018). Distribution of Chemical Residues among Fat, Skim, Curd, Whey, and Protein Fractions in Fortified, Pasteurized Milk. ACS Omega. 3(8). 8697–8708. 15 indexed citations
11.
Kaur, Simran, David J. Smith, & Mark T. Morgan. (2015). Chloroxyanion Residue Quantification in Cantaloupes Treated with Chlorine Dioxide Gas. Journal of Food Protection. 78(9). 1708–1718. 18 indexed citations
12.
Leavens, Teresa L., Lisa A. Tell, Lindsey W. Kissell, et al.. (2014). Development of a physiologically based pharmacokinetic model for flunixin in cattle (Bos taurus). Food Additives & Contaminants Part A. 31(9). 1506–1521. 36 indexed citations
13.
Bauer, M. L., et al.. (2007). The in vitro reduction of sodium [36Cl]chlorate in bovine ruminal fluid1,2. Journal of Animal Science. 85(8). 2059–2068. 6 indexed citations
14.
Churchwell, Mona I., C. L. Holder, David Little, et al.. (2002). Liquid chromatography/electrospray tandem mass spectrometric analysis of incurred ractopamine residues in livestock tissues. Rapid Communications in Mass Spectrometry. 16(13). 1261–1265. 36 indexed citations
15.
16.
Miller, Kevin B., et al.. (2000). High Dietary Manganese Lowers Heart Magnesium in Pigs Fed a Low-Magnesium Diet. Journal of Nutrition. 130(8). 2032–2035. 13 indexed citations
17.
Smith, David J.. (1998). The pharmacokinetics, metabolism, and tissue residues of beta-adrenergic agonists in livestock.. Journal of Animal Science. 76(1). 173–173. 128 indexed citations
18.
19.
Smith, David J. & G. D. Paulson. (1997). Distribution, elimination, and residues of [14C]clenbuterol HCl in Holstein calves.. Journal of Animal Science. 75(2). 454–454. 23 indexed citations
20.
Schuster, M. L., Catherine C. Smith, & David J. Smith. (1983). Population trends of epiphytic Corynebacterium nebraskense on leaves of popcorn genotypes.. Fitopatologia Brasileira. 8(2). 237–242. 3 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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