Casey Olives

20 papers receiving 1.3k citations

Hit Papers

Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study 2016 · 408 citations
4080+3+6Years since publication100200300400

Peers

Casey Olives
Comparison fields: 5 of 108
  • Health, Toxicology and Mutagenesis 929
  • Environmental Engineering 339
  • Speech and Hearing 109
  • Pollution 141
  • Automotive Engineering 100
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Jinling You China
Keyong Huang China
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Citations per field
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Jiaonan Wang · 1×
Citations per year

Countries citing papers authored by Casey Olives

Since Specialization
Citations

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

Fields of papers citing papers by Casey Olives

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Association between air pollution and coronary artery calcification within six metropolitan areas in the USA (the Multi-Ethnic Study of Atherosclerosis and Air Pollution): a longitudinal cohort study
Hit paper breakdown →
2016408
2 2014162
3 2013139
4 2016109
5 201684
6 201778
7 201669
8 201565
9 201539
10 201534
11 201219
12 200817
13 201014
14 201313
15 20139
16 20099
17 20138
18 20133
19 20152
20 20142

About Casey Olives

Casey Olives is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Statistics and Probability, Health and Pollution, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (10 papers), Climate Change and Health Impacts (7 papers), Air Quality Monitoring and Forecasting (5 papers), Statistical Methods and Bayesian Inference (3 papers), Energy and Environment Impacts (3 papers), Food Security and Health in Diverse Populations (2 papers), Healthcare Policy and Management (2 papers) and Global Maternal and Child Health (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (929 citations), Environmental Engineering (339 citations), Speech and Hearing (109 citations), Pollution (141 citations) and Automotive Engineering (100 citations). Casey Olives has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Lianne Sheppard, Joel D. Kaufman, Paul D. Sampson, Sun‐Young Kim, Adam A. Szpiro, Joshua P. Keller, Timothy V. Larson, Matthew J. Budoff, Sverre Vedal and Richard A. Kronmal. Their work appears in journals such as Environmental Health Perspectives, Emerging Themes in Epidemiology, PLoS neglected tropical diseases, Air Quality Atmosphere & Health and Journal of the American Heart Association.

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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