Miranda Dally

54 papers receiving 715 citations

Peers

Miranda Dally
Comparison fields: 5 of 95
  • Radiological and Ultrasound Technology 155
  • Health, Toxicology and Mutagenesis 352
  • Nephrology 126
  • Medical Laboratory Technology 19
  • General Health Professions 207
Replace Liliana Tenney with:
Liliana Tenney United States
Eun Hee Ha South Korea
Jaime Butler-Dawson United States
K M Venables United Kingdom
Ariane Leroyer France
Shanika Nanayakkara Australia
Jorma Rantanen Finland
Patricia Gucer United States
Tomás López‐Jiménez Spain
Susan Buchanan United States
Miranda Dally relative to Liliana Tenney United States Liliana Tenney's profile →
Citations per field
00.5×1.5×
Liliana Tenney · 1×
Citations per year

Countries citing papers authored by Miranda Dally

Since Specialization
Citations

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

Fields of papers citing papers by Miranda Dally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Miranda Dally, 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 Miranda Dally Line = papers co-authored together Miranda Dally links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201979
2 201867
3 201851
4 201839
5 202136
6 201831
7 201828
8 201824
9 201923
10 202022
11 202020
12 202020
13 201620
14 202020
15 201417
16 202016
17 202016
18 202015
19 202014
20 201914

About Miranda Dally

Miranda Dally is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Radiological and Ultrasound Technology, Nephrology and Physiology, having authored 62 papers that have together received 729 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (23 papers), Workplace Health and Well-being (20 papers), Occupational Health and Safety Research (18 papers), Agriculture and Farm Safety (8 papers), Air Quality and Health Impacts (8 papers), Chronic Kidney Disease and Diabetes (7 papers), Thermoregulation and physiological responses (7 papers) and Heavy Metal Exposure and Toxicity (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (155 citations), Health, Toxicology and Mutagenesis (352 citations), Nephrology (126 citations), Medical Laboratory Technology (19 citations) and General Health Professions (207 citations). Miranda Dally has collaborated with scholars based in United States, Guatemala and United Kingdom. Frequent co-authors include Lee S. Newman, Liliana Tenney, Jaime Butler-Dawson, Lyndsay Krisher, Claudia M. Asensio, Richard J. Johnson, Natalie V. Schwatka, Cecilia Sorensen, David Weitzenkamp and Carol E. Brown. Their work appears in journals such as Journal of Occupational and Environmental Medicine, International Journal of Environmental Research and Public Health, BMC Public Health, American Journal of Industrial Medicine and Kidney International Reports.

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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