James M. Starr

1.1k total citations
32 papers, 813 citations indexed

About

James M. Starr is a scholar working on Plant Science, Health, Toxicology and Mutagenesis and Insect Science. According to data from OpenAlex, James M. Starr has authored 32 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 17 papers in Health, Toxicology and Mutagenesis and 8 papers in Insect Science. Recurrent topics in James M. Starr's work include Pesticide Exposure and Toxicity (17 papers), Insect and Pesticide Research (8 papers) and Toxic Organic Pollutants Impact (8 papers). James M. Starr is often cited by papers focused on Pesticide Exposure and Toxicity (17 papers), Insect and Pesticide Research (8 papers) and Toxic Organic Pollutants Impact (8 papers). James M. Starr collaborates with scholars based in United States, Ireland and China. James M. Starr's co-authors include Michael F. Hughes, Edward J. Scollon, Michael J. DeVito, Stephen E. Graham, Stephen Godin, Marsha K. Morgan, Rogelio Tornero‐Velez, Daniel M. Stout, Marcelo J. Wolansky and David Gaddis Ross and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Environmental Pollution.

In The Last Decade

James M. Starr

30 papers receiving 800 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James M. Starr United States 16 443 385 162 158 105 32 813
R. B. Raizada India 17 498 1.1× 267 0.7× 95 0.6× 116 0.7× 156 1.5× 58 921
Mohamed Montassar Lasram Tunisia 16 396 0.9× 168 0.4× 131 0.8× 113 0.7× 40 0.4× 24 960
Alya Annabi Tunisia 15 382 0.9× 164 0.4× 126 0.8× 108 0.7× 37 0.4× 21 931
Roland Solecki Germany 13 289 0.7× 250 0.6× 223 1.4× 65 0.4× 151 1.4× 32 710
L Caltabiano Italy 10 570 1.3× 392 1.0× 259 1.6× 68 0.4× 93 0.9× 15 841
Samuel E. Baker United States 14 752 1.7× 482 1.3× 313 1.9× 273 1.7× 261 2.5× 21 1.3k
Johnny V. Nguyen United States 8 310 0.7× 307 0.8× 201 1.2× 49 0.3× 163 1.6× 8 612
Valerii N. Rakitskii Russia 17 196 0.4× 289 0.8× 107 0.7× 98 0.6× 82 0.8× 53 778
Kushik Jaga United States 11 337 0.8× 356 0.9× 129 0.8× 78 0.5× 52 0.5× 12 744
Annette Petersen Denmark 19 363 0.8× 363 0.9× 234 1.4× 72 0.5× 284 2.7× 35 953

Countries citing papers authored by James M. Starr

Since Specialization
Citations

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

Fields of papers citing papers by James M. Starr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Starr. 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 James M. Starr. The network helps show where James M. Starr may publish in the future.

Co-authorship network of co-authors of James M. Starr

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Starr. A scholar is included among the top collaborators of James M. Starr 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 James M. Starr. James M. Starr 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.
Starr, James M., et al.. (2024). In vitro modeling of the post-ingestion mobilization and bioaccessibility of pesticides sorbed to soil and house dust. Environmental Pollution. 344. 123295–123295. 1 indexed citations
2.
3.
Stout, Daniel M., et al.. (2022). Evaluating wipe sampling parameters to assess method performance and data confidence during remediation of hazardous pesticide misuse chemicals on indoor materials. The Science of The Total Environment. 856(Pt 1). 159053–159053. 1 indexed citations
4.
Oudejans, Lukas, Emily Snyder, D. Tabor, et al.. (2020). Remediating Indoor Pesticide Contamination from Improper Pest Control Treatments: Persistence and Decontamination Studies. Journal of Hazardous Materials. 397. 122743–122743. 18 indexed citations
5.
Starr, James M., et al.. (2019). Is food type important for in vitro post ingestion bioaccessibility models of polychlorinated biphenyls sorbed to soil?. The Science of The Total Environment. 704. 135421–135421. 10 indexed citations
6.
Shen, Haitao, Weiwei Li, Stephen E. Graham, & James M. Starr. (2018). The role of soil and house dust physicochemical properties in determining the post ingestion bioaccessibility of sorbed polychlorinated biphenyls. Chemosphere. 217. 1–8. 15 indexed citations
7.
Starr, James M., et al.. (2018). The impact of wipe sampling variables on method performance associated with indoor pesticide misuse and highly contaminated areas. The Science of The Total Environment. 655. 539–546. 8 indexed citations
8.
Starr, James M., Blake R. Rushing, & Mustafa I. Selim. (2017). Solvent-dependent transformation of aflatoxin B1 in soil. Mycotoxin Research. 33(3). 197–205. 9 indexed citations
9.
10.
Hughes, Michael F., David Gaddis Ross, James M. Starr, et al.. (2016). Environmentally relevant pyrethroid mixtures: A study on the correlation of blood and brain concentrations of a mixture of pyrethroid insecticides to motor activity in the rat. Toxicology. 359-360. 19–28. 17 indexed citations
11.
Starr, James M., Weiwei Li, Stephen E. Graham, et al.. (2016). Using paired soil and house dust samples in an in vitro assay to assess the post ingestion bioaccessibility of sorbed fipronil. Journal of Hazardous Materials. 312. 141–149. 15 indexed citations
12.
Hughes, Michael F., David Gaddis Ross, Brenda C. Edwards, Michael J. DeVito, & James M. Starr. (2015). Tissue time course and bioavailability of the pyrethroid insecticide bifenthrin in the Long-Evans rat. Xenobiotica. 46(5). 430–438. 8 indexed citations
13.
14.
Scollon, Edward J., James M. Starr, Kevin M. Crofton, et al.. (2011). Correlation of tissue concentrations of the pyrethroid bifenthrin with neurotoxicity in the rat. Toxicology. 290(1). 1–6. 54 indexed citations
15.
Godin, Stephen, Michael J. DeVito, Michael F. Hughes, et al.. (2010). Physiologically Based Pharmacokinetic Modeling of Deltamethrin: Development of a Rat and Human Diffusion-Limited Model. Toxicological Sciences. 115(2). 330–343. 69 indexed citations
16.
Scollon, Edward J., James M. Starr, Stephen Godin, Michael J. DeVito, & Michael F. Hughes. (2008). In Vitro Metabolism of Pyrethroid Pesticides by Rat and Human Hepatic Microsomes and Cytochrome P450 Isoforms. Drug Metabolism and Disposition. 37(1). 221–228. 145 indexed citations
17.
Starr, James M., et al.. (2008). Pyrethroid pesticides and their metabolites in vacuum cleaner dust collected from homes and day-care centers. Environmental Research. 108(3). 271–279. 67 indexed citations
18.
Starr, James M. & Mustafa I. Selim. (2008). Supercritical fluid extraction of aflatoxin B1 from soil. Journal of Chromatography A. 1209(1-2). 37–43. 22 indexed citations
19.
Symreng, Tommy, et al.. (1992). The effect of respiratory alkalosis on oxygen consumption in anesthetized patients. Journal of Clinical Anesthesia. 4(6). 462–467. 6 indexed citations
20.
Loftus, Christopher M., et al.. (1987). Measurement of Regional Cerebral Blood Flow and Somatosensory Evoked Potentials in a Canine Model of Hemispheric Ischemia. Neurosurgery. 21(4). 503–508. 8 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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