Jane Simmons

1.1k total citations
28 papers, 528 citations indexed

About

Jane Simmons is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Plant Science. According to data from OpenAlex, Jane Simmons has authored 28 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 8 papers in Cancer Research and 4 papers in Plant Science. Recurrent topics in Jane Simmons's work include Toxic Organic Pollutants Impact (9 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jane Simmons is often cited by papers focused on Toxic Organic Pollutants Impact (9 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Effects and risks of endocrine disrupting chemicals (4 papers). Jane Simmons collaborates with scholars based in United States, United Kingdom and Spain. Jane Simmons's co-authors include Chris Gennings, Richard A. Carchman, Joan M. Hedge, Michael J. DeVito, Kevin M. Crofton, Ezra Berman, R.S.H. Yang, Linda K. Teuschler, Marina V. Evans and Huaming Yang and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Environmental Health Perspectives and Food and Chemical Toxicology.

In The Last Decade

Jane Simmons

26 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Simmons United States 10 288 91 77 46 44 28 528
Shakil A. Saghir United States 17 378 1.3× 165 1.8× 110 1.4× 87 1.9× 65 1.5× 59 756
Alfonso M. Lostia Italy 8 196 0.7× 47 0.5× 40 0.5× 90 2.0× 45 1.0× 9 537
İsmet Çok Türkiye 20 682 2.4× 191 2.1× 88 1.1× 117 2.5× 67 1.5× 56 1.0k
Chandrabhan Dharmani United States 8 315 1.1× 106 1.2× 312 4.1× 58 1.3× 12 0.3× 10 664
Kushik Jaga United States 11 356 1.2× 133 1.5× 337 4.4× 69 1.5× 13 0.3× 12 744
Robert V. Blanke United States 21 302 1.0× 172 1.9× 130 1.7× 102 2.2× 126 2.9× 42 940
William Owens United States 12 565 2.0× 88 1.0× 50 0.6× 127 2.8× 35 0.8× 16 956
Walid Maho Belgium 11 523 1.8× 172 1.9× 99 1.3× 93 2.0× 30 0.7× 16 833
Anna Kilanowicz Poland 19 469 1.6× 128 1.4× 76 1.0× 119 2.6× 26 0.6× 57 863
Andrey I. Nikiforov United States 14 261 0.9× 77 0.8× 41 0.5× 90 2.0× 17 0.4× 40 613

Countries citing papers authored by Jane Simmons

Since Specialization
Citations

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

Fields of papers citing papers by Jane Simmons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Simmons

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Simmons. A scholar is included among the top collaborators of Jane Simmons 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 Jane Simmons. Jane Simmons 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.
Lehmann, David M., Mikayla D. Armstrong, Wanda C. Williams, Cristina Postigo, & Jane Simmons. (2022). Assessing the skin irritation and sensitizing potential of concentrates of water chlorinated in the presence of iodinated X-ray contrast media. Toxicology. 480. 153335–153335. 2 indexed citations
2.
Potter, Rachel, et al.. (2018). ‘Taking care, giving care’ rounds: An intervention to support compassionate care amongst healthcare staff. Clinical Psychology Forum. 1(303). 23–30. 7 indexed citations
4.
Rice, Glenn, Linda K. Teuschler, Richard J. Bull, Jane Simmons, & Paul I. Feder. (2009). Evaluating the Similarity of Complex Drinking-Water Disinfection By-Product Mixtures: Overview of the Issues. Journal of Toxicology and Environmental Health. 72(7). 429–436. 28 indexed citations
5.
Feder, Paul I., Richard J. Bull, Linda K. Teuschler, et al.. (2009). Evaluating Sufficient Similarity for Disinfection By-Product (DBP) Mixtures: Multivariate Statistical Procedures. Journal of Toxicology and Environmental Health. 72(7). 468–481. 10 indexed citations
6.
Borgert, Christopher J., et al.. (2007). Improving the scientific foundation for mixtures joint toxicity and risk assessment: Contributions from the SOT mixtures project—Introduction☆. Toxicology and Applied Pharmacology. 223(2). 99–103. 6 indexed citations
7.
Simmons, Jane, et al.. (2006). Cognitive Schemata in Depressed Adolescent Girls and Their Mothers. Behavioural and Cognitive Psychotherapy. 34(2). 219–232. 8 indexed citations
8.
Moser, Virginia C., et al.. (2005). Neurotoxicological and Statistical Analyses of a Mixture of Five Organophosphorus Pesticides Using a Ray Design. Toxicological Sciences. 86(1). 101–115. 53 indexed citations
9.
Crofton, Kevin M., Joan M. Hedge, Chris Gennings, et al.. (2005). Thyroid-Hormone–Disrupting Chemicals: Evidence for Dose-Dependent Additivity or Synergism. Environmental Health Perspectives. 113(11). 1549–1554. 161 indexed citations
10.
Gennings, Chris, et al.. (2005). A Unifying Concept for Assessing Toxicological Interactions: Changes in Slope. Toxicological Sciences. 88(2). 287–297. 54 indexed citations
11.
Evans, Marina V., et al.. (2002). A comparison of Haber's rule at different ages using a physiologically based pharmacokinetic (PBPK) model for chloroform in rats. Toxicology. 176(1-2). 11–23. 5 indexed citations
12.
Simmons, Jane. (1996). Application of Physiologically Based Pharmacokinetic Modelling to Combination Toxicology. Food and Chemical Toxicology. 34(11-12). 1067–1073. 18 indexed citations
13.
Simmons, Jane & Chris Gennings. (1996). Experimental designs, statistics and interpretation. Food and Chemical Toxicology. 34(11-12). 1169–1171. 7 indexed citations
15.
Simmons, Jane, R.S.H. Yang, & Ezra Berman. (1995). Evaluation of the nephrotoxicity of complex mixtures containing organics and metals: advantages and disadvantages of the use of real-world complex mixtures.. Environmental Health Perspectives. 103(suppl 1). 67–71. 48 indexed citations
16.
Lazar, M. D. & Jane Simmons. (1995). Identification of a wheat (Triticum aestivum) cell line lacking a specific divalent cation requirement. Plant Cell Reports. 14(7). 418–22. 1 indexed citations
17.
Evans, Marina V., et al.. (1994). Applications of Sensitivity Analysis to a Physiologically Based Pharmacokinetic Model for Carbon Tetrachloride in Rats. Toxicology and Applied Pharmacology. 128(1). 36–44. 53 indexed citations
18.
Simmons, Jane, John W. Allis, Elaine C. Grose, et al.. (1991). Assessment of the hepatotoxicity of acute and short‐term exposure to inhaledp‐xylene in f‐344 rats. Journal of Toxicology and Environmental Health. 32(3). 295–306. 6 indexed citations
19.
Grose, Elaine C., M.J.K. Selgrade, Jane Simmons, et al.. (1990). Interdisciplinary Approach to Assessing the Health Risk of Air Toxic Chemicals: An Overview. Toxicology and Industrial Health. 6(5). 157–169. 2 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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