Dayton T. Miller

1.7k citations
25 papers · 1.2k indexed · h-index 16

Dayton T. Miller

25 papers receiving 1.1k citations

Peers

Dayton T. Miller
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 581
  • Radiological and Ultrasound Technology 93
  • Endocrinology, Diabetes and Metabolism 263
  • Pollution 173
  • Nutrition and Dietetics 206
Replace Maryka H. Bhattacharyya with:
Maryka H. Bhattacharyya United States
John F. Rosen United States
Jonas Lidfeldt Sweden
Ikiko Tsuritani Japan
Stanton H. Cohn United States
V. L. Spate United States
Morri Markowitz United States
D Barltrop United Kingdom
Juan Carlos Martı́n-Escudero Spain
Kazuhiro Nogawa Japan
Dayton T. Miller relative to Maryka H. Bhattacharyya United States Maryka H. Bhattacharyya's profile →
Citations per field
00.5×1.5×
Maryka H. Bhattacharyya · 1×
Citations per year

Countries citing papers authored by Dayton T. Miller

Since Specialization
Citations

This map shows the geographic impact of Dayton T. Miller'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 Dayton T. Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayton T. Miller more than expected).

Fields of papers citing papers by Dayton T. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dayton T. Miller. 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 Dayton T. Miller. The network helps show where Dayton T. Miller may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dayton T. Miller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dayton T. Miller Line = papers co-authored together Dayton T. Miller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200349
2 200021
3 2000110
4 199959
5 1999103
6 199915
7 199958
8 1998129
9 1998289
10 199428
11
Technical and scientific developments in exposure marker methodology.
199421
12 199415
13 19931
14 199118
15 19916
16 19911
17 199117
18 198914
19 1987180
20 19869

About Dayton T. Miller

Dayton T. Miller is a scholar working on Health, Toxicology and Mutagenesis, Nephrology and Radiological and Ultrasound Technology, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (7 papers), Toxic Organic Pollutants Impact (7 papers), Carcinogens and Genotoxicity Assessment (4 papers), Nutritional Studies and Diet (3 papers), Radioactive contamination and transfer (3 papers), Folate and B Vitamins Research (3 papers), Heavy Metal Exposure and Toxicity (3 papers) and Analytical chemistry methods development (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (581 citations), Radiological and Ultrasound Technology (93 citations) and Endocrinology, Diabetes and Metabolism (263 citations). Dayton T. Miller has collaborated with scholars based in United States. Frequent co-authors include Elaine W. Gunter, Richard J. Jackson, Daniel C. Paschal, Eric J. Sampson, James L. Pirkle, Samuel P. Caudill, W. Harry Hannon, Bill G. Ting, Joseph G. Hollowell and Paul Garbe. Their work appears in journals such as The Science of The Total Environment, The Journal of Clinical Endocrinology & Metabolism and Journal of Nutrition.

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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