David M. Balshaw

2.9k total citations
26 papers, 1.9k citations indexed

About

David M. Balshaw is a scholar working on Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, David M. Balshaw has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, Toxicology and Mutagenesis, 12 papers in Public Health, Environmental and Occupational Health and 8 papers in Molecular Biology. Recurrent topics in David M. Balshaw's work include Health, Environment, Cognitive Aging (13 papers), Nutritional Studies and Diet (10 papers) and Delphi Technique in Research (7 papers). David M. Balshaw is often cited by papers focused on Health, Environment, Cognitive Aging (13 papers), Nutritional Studies and Diet (10 papers) and Delphi Technique in Research (7 papers). David M. Balshaw collaborates with scholars based in United States, Spain and Canada. David M. Balshaw's co-authors include Gerhard Meissner, Naohiro Yamaguchi, Le Xu, Yuxia Cui, David A. Lathrop, Roberto Bolli, Robert M. Mentzer, Garrett J. Gross, Lance B. Becker and Ling Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation Research.

In The Last Decade

David M. Balshaw

24 papers receiving 1.8k citations

Peers

David M. Balshaw
Daniel W. Riggs United States
Jessica L. Fetterman United States
Arthur Penn United States
William J. George United States
Xuelin Li China
Megan L. Grove United States
Daniel W. Riggs United States
David M. Balshaw
Citations per year, relative to David M. Balshaw David M. Balshaw (= 1×) peers Daniel W. Riggs

Countries citing papers authored by David M. Balshaw

Since Specialization
Citations

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

Fields of papers citing papers by David M. Balshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Balshaw

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Balshaw. A scholar is included among the top collaborators of David M. Balshaw 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 M. Balshaw. David M. Balshaw 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.
Motsinger‐Reif, Alison A., David M. Balshaw, Linda S. Birnbaum, et al.. (2025). Advancing Exposomics: From Concept to Practice in Environmental Health Sciences. Environmental Health Perspectives. 2 indexed citations
2.
Cui, Yuxia, Kristin M. Eccles, Richard K. Kwok, et al.. (2022). Integrating Multiscale Geospatial Environmental Data into Large Population Health Studies: Challenges and Opportunities. Toxics. 10(7). 403–403. 15 indexed citations
3.
Viet, Susan Marie, Lori Merrill, Elaine M. Faustman, et al.. (2021). Human Health Exposure Analysis Resource (HHEAR): A model for incorporating the exposome into health studies. International Journal of Hygiene and Environmental Health. 235. 113768–113768. 15 indexed citations
4.
Heacock, Michelle, Lesley A. Skalla, Danielle J. Carlin, et al.. (2020). Sharing SRP data to reduce environmentally associated disease and promote transdisciplinary research. Reviews on Environmental Health. 35(2). 111–122. 11 indexed citations
5.
Balshaw, David M., Caroline Dilworth, Christina H. Drew, et al.. (2018). Expanding the Concept of Translational Research: Making a Place for Environmental Health Sciences. Environmental Health Perspectives. 126(7). 74501–74501. 24 indexed citations
6.
Balshaw, David M., Gwen W. Collman, Kimberly A. Gray, & Claudia Thompson. (2017). The Children's Health Exposure Analysis Resource: enabling research into the environmental influences on children's health outcomes. Current Opinion in Pediatrics. 29(3). 385–389. 48 indexed citations
7.
Turner, Michelle C., Mark Nieuwenhuijsen, Kim A. Anderson, et al.. (2017). Assessing the Exposome with External Measures: Commentary on the State of the Science and Research Recommendations. Annual Review of Public Health. 38(1). 215–239. 68 indexed citations
8.
Cui, Yuxia, David M. Balshaw, Richard K. Kwok, et al.. (2016). The Exposome: Embracing the Complexity for Discovery in Environmental Health. Environmental Health Perspectives. 124(8). A137–40. 63 indexed citations
9.
Dennis, Kristine K., Scott S. Auerbach, David M. Balshaw, et al.. (2016). The Importance of the Biological Impact of Exposure to the Concept of the Exposome. Environmental Health Perspectives. 124(10). 1504–1510. 71 indexed citations
10.
Dennis, Kristine K., M. Elizabeth Marder, David M. Balshaw, et al.. (2016). Biomonitoring in the Era of the Exposome. Environmental Health Perspectives. 125(4). 502–510. 148 indexed citations
11.
Balshaw, David M., Caroline Dilworth, Kimberly A. Gray, et al.. (2015). The Children's Health Exposure Analysis Resource. ISEE Conference Abstracts. 2015(1). 1 indexed citations
12.
Shaughnessy, Daniel T., Kimberly A. McAllister, Leroy Worth, et al.. (2014). Mitochondria, Energetics, Epigenetics, and Cellular Responses to Stress. Environmental Health Perspectives. 122(12). 1271–1278. 210 indexed citations
13.
Schug, Thaddeus T., Anne Frances Johnson, David M. Balshaw, et al.. (2013). ONE Nano: NIEHS’s Strategic Initiative on the Health and Safety Effects of Engineered Nanomaterials. Environmental Health Perspectives. 121(4). 410–414. 14 indexed citations
14.
Balshaw, David M., Martin A. Philbert, & William A. Suk. (2005). Research Strategies for Safety Evaluation of Nanomaterials, Part III: Nanoscale Technologies for Assessing Risk and Improving Public Health. Toxicological Sciences. 88(2). 298–306. 42 indexed citations
15.
Weis, Brenda K., David M. Balshaw, John R. Barr, et al.. (2005). Personalized Exposure Assessment: Promising Approaches for Human Environmental Health Research. Environmental Health Perspectives. 113(7). 840–848. 81 indexed citations
16.
Xu, Le, et al.. (2003). Characterization of Recombinant Skeletal Muscle (Ser-2843) and Cardiac Muscle (Ser-2809) Ryanodine Receptor Phosphorylation Mutants. Journal of Biological Chemistry. 278(51). 51693–51702. 140 indexed citations
17.
Balshaw, David M., Naohiro Yamaguchi, & Gerhard Meissner. (2002). Modulation of Intracellular Calcium-Release Channels by Calmodulin. The Journal of Membrane Biology. 185(1). 1–8. 70 indexed citations
18.
Balshaw, David M., Le Xu, Naohiro Yamaguchi, Daniel A. Pasek, & Gerhard Meissner. (2001). Calmodulin Binding and Inhibition of Cardiac Muscle Calcium Release Channel (Ryanodine Receptor). Journal of Biological Chemistry. 276(23). 20144–20153. 178 indexed citations
19.
Gao, Ling, et al.. (2000). Evidence for a Role of the Lumenal M3-M4 Loop in Skeletal Muscle Ca2+ Release Channel (Ryanodine Receptor) Activity and Conductance. Biophysical Journal. 79(2). 828–840. 116 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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