Daniel E. Dawson

467 total citations
22 papers, 307 citations indexed

About

Daniel E. Dawson is a scholar working on Health, Toxicology and Mutagenesis, Genetics and Environmental Chemistry. According to data from OpenAlex, Daniel E. Dawson has authored 22 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Genetics and 5 papers in Environmental Chemistry. Recurrent topics in Daniel E. Dawson's work include Air Quality and Health Impacts (3 papers), Fish Ecology and Management Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Daniel E. Dawson is often cited by papers focused on Air Quality and Health Impacts (3 papers), Fish Ecology and Management Studies (3 papers) and Evolution and Genetic Dynamics (3 papers). Daniel E. Dawson collaborates with scholars based in United States. Daniel E. Dawson's co-authors include Reynaldo Patiño, Rogelio Tornero‐Velez, Cristina Lanzas, John F. Wambaugh, John W. Nichols, Katherine A. Phillips, Michael W. Sanderson, William H. Asquith, Christopher Lau and Christopher J. Salice and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Daniel E. Dawson

22 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Dawson United States 11 95 82 43 37 37 22 307
Dawn M. Fallacara United States 7 96 1.0× 121 1.5× 46 1.1× 9 0.2× 16 0.4× 16 325
K.L. Goodyear United Kingdom 6 29 0.3× 111 1.4× 44 1.0× 181 4.9× 16 0.4× 10 488
Catherine McLeod Australia 16 105 1.1× 33 0.4× 17 0.4× 10 0.3× 65 1.8× 28 629
Stella Fanok Australia 9 123 1.3× 58 0.7× 55 1.3× 7 0.2× 28 0.8× 10 327
Himanshu Sekhar Swain India 13 20 0.2× 53 0.6× 44 1.0× 6 0.2× 51 1.4× 39 390
L Volterra Italy 12 103 1.1× 66 0.8× 58 1.3× 7 0.2× 62 1.7× 53 404
Giovanna Bianconi Italy 10 30 0.3× 15 0.2× 8 0.2× 42 1.1× 128 3.5× 24 384
Mitsugu Hosaka Japan 10 23 0.2× 36 0.4× 7 0.2× 20 0.5× 57 1.5× 23 340
Jeff Adams United States 11 167 1.8× 311 3.8× 9 0.2× 14 0.4× 41 1.1× 13 629
Adithya Murali United States 5 24 0.3× 14 0.2× 3 0.1× 16 0.4× 255 6.9× 11 507

Countries citing papers authored by Daniel E. Dawson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Dawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Dawson. 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 Daniel E. Dawson. The network helps show where Daniel E. Dawson may publish in the future.

Co-authorship network of co-authors of Daniel E. Dawson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Dawson. A scholar is included among the top collaborators of Daniel E. Dawson 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 Daniel E. Dawson. Daniel E. Dawson 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.
Dawson, Daniel E., et al.. (2025). Incorporating a nectar‐based pesticide module into BeeHave , an agent‐based model of honeybee population dynamics. Ecological Solutions and Evidence. 6(3). 1 indexed citations
2.
Dawson, Daniel E., Christopher Lau, Prachi Pradeep, et al.. (2023). A Machine Learning Model to Estimate Toxicokinetic Half-Lives of Per- and Polyfluoro-Alkyl Substances (PFAS) in Multiple Species. Toxics. 11(2). 98–98. 31 indexed citations
3.
4.
Nyffeler, Johanna, Clinton Willis, Megan Culbreth, et al.. (2023). Application of Cell Painting for chemical hazard evaluation in support of screening-level chemical assessments. Toxicology and Applied Pharmacology. 468. 116513–116513. 36 indexed citations
5.
Garber, Kristina, Gloria DeGrandi‐Hoffman, Jeffrey M. Minucci, et al.. (2022). Simulating the Effects of Pesticides on Honey Bee (Apis mellifera L.) Colonies with BeePop+. SHILAP Revista de lepidopterología. 3(3). 275–291. 6 indexed citations
6.
Dawson, Daniel E., Abigail E. Noble, Qingyu Meng, et al.. (2022). Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use. Environmental Science & Technology. 56(8). 5266–5275. 10 indexed citations
7.
Dawson, Daniel E., et al.. (2021). Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors. Environmental Science & Technology. 55(9). 6505–6517. 37 indexed citations
8.
Dawson, Daniel E., et al.. (2021). Combining epidemiological and ecological methods to quantify social effects on Escherichia coli transmission. Royal Society Open Science. 8(10). 210328–210328. 4 indexed citations
9.
Dawson, Daniel E., Graham Glen, Kristin Isaacs, et al.. (2021). The Residential Population Generator (RPGen): Parameterization of Residential, Demographic, and Physiological Data to Model Intraindividual Exposure, Dose, and Risk. Toxics. 9(11). 303–303. 1 indexed citations
10.
Dawson, Daniel E., David A. Rasmussen, Xinxia Peng, & Cristina Lanzas. (2021). Inferring environmental transmission using phylodynamics: a case-study using simulated evolution of an enteric pathogen. Journal of The Royal Society Interface. 18(179). 20210041–20210041. 4 indexed citations
11.
Dawson, Daniel E., et al.. (2020). Accounting for space and uncertainty in real‐time location system‐derived contact networks. Ecology and Evolution. 10(11). 4702–4715. 8 indexed citations
12.
Lashnits, Erin, Daniel E. Dawson, Edward B. Breitschwerdt, & Cristina Lanzas. (2019). Ecological and Socioeconomic Factors Associated with Bartonella henselae Exposure in Dogs Tested for Vector-Borne Diseases in North Carolina. Vector-Borne and Zoonotic Diseases. 19(8). 582–595. 9 indexed citations
13.
Dawson, Daniel E., et al.. (2019). The Efficacy of the Bacillus thuringiensis israelensis Larvicide Against Culex tarsalis in Municipal Wastewater and Water from Natural Wetlands. Journal of the American Mosquito Control Association. 35(2). 97–106. 3 indexed citations
14.
Lanzas, Cristina, et al.. (2019). On modelling environmentally transmitted pathogens. Interface Focus. 10(1). 20190056–20190056. 16 indexed citations
15.
Dawson, Daniel E., et al.. (2018). Investigating behavioral drivers of seasonal Shiga-Toxigenic Escherichia Coli (STEC) patterns in grazing cattle using an agent-based model. PLoS ONE. 13(10). e0205418–e0205418. 11 indexed citations
16.
Dawson, Daniel E., et al.. (2018). Transmission on empirical dynamic contact networks is influenced by data processing decisions. Epidemics. 26. 32–42. 10 indexed citations
17.
Dawson, Daniel E., et al.. (2018). Predictive Modeling for West Nile Virus and Mosquito Surveillance in Lubbock, Texas. Journal of the American Mosquito Control Association. 34(1). 18–24. 7 indexed citations
18.
Dawson, Daniel E., et al.. (2017). Transgenerational endpoints provide increased sensitivity and insight into multigenerational responses of Lymnaea stagnalis exposed to cadmium. Environmental Pollution. 224. 572–580. 17 indexed citations
19.
Dawson, Daniel E., et al.. (2015). Long-term trends in reservoir water quality and quantity in two major river basins of the southern Great Plains. Lake and Reservoir Management. 31(3). 254–279. 20 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dawn M. Fallacara Breakdown of academic impact, for papers by K.L. Goodyear Breakdown of academic impact, for papers by Catherine McLeod Breakdown of academic impact, for papers by Stella Fanok Breakdown of academic impact, for papers by Himanshu Sekhar Swain Breakdown of academic impact, for papers by L Volterra Breakdown of academic impact, for papers by Giovanna Bianconi Breakdown of academic impact, for papers by Mitsugu Hosaka Breakdown of academic impact, for papers by Jeff Adams Breakdown of academic impact, for papers by Adithya Murali
Rankless by CCL
2026