Jennifer McPartland

581 total citations
7 papers, 267 citations indexed

About

Jennifer McPartland is a scholar working on Health, Toxicology and Mutagenesis, Small Animals and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jennifer McPartland has authored 7 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Health, Toxicology and Mutagenesis, 2 papers in Small Animals and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jennifer McPartland's work include Effects and risks of endocrine disrupting chemicals (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Animal testing and alternatives (2 papers). Jennifer McPartland is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (3 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Animal testing and alternatives (2 papers). Jennifer McPartland collaborates with scholars based in United States, Canada and Italy. Jennifer McPartland's co-authors include Bruce P. Lanphear, Patrice Sutton, Natalyn Daniels, Daniel A. Axelrad, Juleen Lam, Tracey J. Woodruff, Śaunak Sen, David Bellinger, Christopher J. Portier and Didier Verloo and has published in prestigious journals such as The Science of The Total Environment, Environmental Health Perspectives and Toxicological Sciences.

In The Last Decade

Jennifer McPartland

7 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer McPartland United States	5	164	29	29	22	22	7	267
Natalyn Daniels United States	4	294 1.8×	24 0.8×	72 2.5×	21 1.0×	22 1.0×	6	406
Rahel Mesfin Ketema Japan	10	199 1.2×	38 1.3×	31 1.1×	14 0.6×	24 1.1×	28	290
Audrey Galizia United States	7	427 2.6×	37 1.3×	65 2.2×	30 1.4×	21 1.0×	8	512
Julia O. Udesky United States	7	294 1.8×	92 3.2×	32 1.1×	50 2.3×	36 1.6×	7	463
Madelein Crause United States	9	252 1.5×	46 1.6×	56 1.9×	25 1.1×	34 1.5×	12	370
Elena Salamanca‐Fernández Spain	13	211 1.3×	43 1.5×	42 1.4×	46 2.1×	50 2.3×	27	498
Terri Damstra United States	10	243 1.5×	45 1.6×	58 2.0×	36 1.6×	28 1.3×	21	405
Muvhulawa Obida South Africa	13	350 2.1×	53 1.8×	91 3.1×	30 1.4×	44 2.0×	25	497
Joanna Stragierowicz Poland	11	317 1.9×	49 1.7×	58 2.0×	33 1.5×	19 0.9×	21	497
Han-Bin Huang Taiwan	11	514 3.1×	42 1.4×	78 2.7×	29 1.3×	36 1.6×	13	606

Countries citing papers authored by Jennifer McPartland

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer McPartland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer McPartland

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

All Works

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7 of 7 papers shown

McPartland, Jennifer, Rachel M. Shaffer, Mary A. Fox, et al.. (2022). Charting a Path Forward: Assessing the Science of Chemical Risk Evaluations under the Toxic Substances Control Act in the Context of Recent National Academies Recommendations. Environmental Health Perspectives. 130(2). 25003–25003. 9 indexed citations

McPartland, Jennifer, et al.. (2019). Alternative Management of Oil and Gas Produced Water Requires More Research on Its Hazards and Risks. Integrated Environmental Assessment and Management. 15(5). 677–682. 25 indexed citations

Lam, Juleen, Bruce P. Lanphear, David Bellinger, et al.. (2017). Developmental PBDE Exposure and IQ/ADHD in Childhood: A Systematic Review and Meta-analysis. Environmental Health Perspectives. 125(8). 86001–86001. 181 indexed citations

McPartland, Jennifer, et al.. (2017). Elucidating environmental dimensions of neurological disorders and disease: Understanding new tools from federal chemical testing programs. The Science of The Total Environment. 593-594. 634–640. 2 indexed citations

Stephens, Martin L., Kellyn S. Betts, Nancy B. Beck, et al.. (2016). The Emergence of Systematic Review in Toxicology. Toxicological Sciences. 152(1). 10–16. 36 indexed citations

Lam, Juleen, Bruce P. Lanphear, Daniel A. Axelrad, et al.. (2016). Exploring the Association between Developmental PBDE Exposure and IQ/ADHD Effects: Application of the Navigation Guide Systematic Review Methodology. ISEE Conference Abstracts. 2016(1). 1 indexed citations

McPartland, Jennifer, et al.. (2014). Building a Robust 21st Century Chemical Testing Program at the U.S. Environmental Protection Agency: Recommendations for Strengthening Scientific Engagement. Environmental Health Perspectives. 123(1). 1–5. 13 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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