Lingzhen Dai

1.8k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Lingzhen Dai is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Environmental Engineering. According to data from OpenAlex, Lingzhen Dai has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 9 papers in Pollution and 4 papers in Environmental Engineering. Recurrent topics in Lingzhen Dai's work include Air Quality and Health Impacts (16 papers), Climate Change and Health Impacts (12 papers) and Energy and Environment Impacts (9 papers). Lingzhen Dai is often cited by papers focused on Air Quality and Health Impacts (16 papers), Climate Change and Health Impacts (12 papers) and Energy and Environment Impacts (9 papers). Lingzhen Dai collaborates with scholars based in United States, China and Mexico. Lingzhen Dai's co-authors include Antonella Zanobetti, Joel Schwartz, Petros Koutrakis, Qian Di, Joel Schwartz, Yun Wang, Christine Choirat, Francesca Dominici, Yebin Tao and Wei Huang and has published in prestigious journals such as JAMA, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Lingzhen Dai

16 papers receiving 1.4k citations

Hit Papers

Association of Short-term Exposure to Air Pollution With ... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingzhen Dai United States 13 1.3k 357 232 206 188 16 1.5k
Zhijing Lin China 21 1.7k 1.3× 525 1.5× 290 1.3× 141 0.7× 197 1.0× 38 2.0k
Kevin Cromar United States 17 1.1k 0.8× 335 0.9× 184 0.8× 144 0.7× 91 0.5× 41 1.3k
Jiaonan Wang China 19 1.1k 0.9× 404 1.1× 184 0.8× 161 0.8× 141 0.8× 41 1.5k
Inga Mills United Kingdom 9 1.5k 1.2× 462 1.3× 301 1.3× 231 1.1× 164 0.9× 9 1.8k
Frans Fierens Belgium 18 1.1k 0.8× 252 0.7× 322 1.4× 200 1.0× 57 0.3× 36 1.4k
Markey Johnson Canada 20 953 0.7× 310 0.9× 168 0.7× 136 0.7× 73 0.4× 43 1.2k
Feng Lu China 13 850 0.6× 298 0.8× 139 0.6× 155 0.8× 134 0.7× 34 1.1k
Jason D. Sacks United States 19 1.8k 1.3× 475 1.3× 338 1.5× 298 1.4× 150 0.8× 41 2.1k
Kristin A. Miller United States 8 1.5k 1.1× 444 1.2× 321 1.4× 155 0.8× 121 0.6× 11 1.8k

Countries citing papers authored by Lingzhen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhen Dai. A scholar is included among the top collaborators of Lingzhen Dai 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 Lingzhen Dai. Lingzhen Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Di, Qian, Lingzhen Dai, Antonella Zanobetti, et al.. (2018). A Nationwide Case-Crossover Study on Air Pollution and Mortality in the Medicare Population. ISEE Conference Abstracts. 2017(1). 1 indexed citations
2.
Peng, Cheng, Akın Çayır, Marco Sánchez-Guerra, et al.. (2017). Associations of Annual Ambient Fine Particulate Matter Mass and Components with Mitochondrial DNA Abundance. Epidemiology. 28(6). 763–770. 17 indexed citations
3.
Di, Qian, Lingzhen Dai, Yun Wang, et al.. (2017). Association of Short-term Exposure to Air Pollution With Mortality in Older Adults. JAMA. 318(24). 2446–2446. 502 indexed citations breakdown →
4.
Nwanaji‐Enwerem, Jamaji C., Lingzhen Dai, Elena Colicino, et al.. (2017). Associations between long-term exposure to PM2.5 component species and blood DNA methylation age in the elderly: The VA normative aging study. Environment International. 102. 57–65. 57 indexed citations
5.
Nwanaji‐Enwerem, Jamaji C., Elena Colicino, Lingzhen Dai, et al.. (2017). MiRNA Processing Gene Polymorphisms, Blood Dna Methylation Age and Long-Term Ambient Pm 2.5 Exposure In Elderly Men. Epigenomics. 9(12). 1529–1542. 15 indexed citations
6.
Nwanaji‐Enwerem, Jamaji C., Marie‐Abèle Bind, Lingzhen Dai, et al.. (2017). Editor’s Highlight: Modifying Role of Endothelial Function Gene Variants on the Association of Long-Term PM2.5 Exposure With Blood DNA Methylation Age: The VA Normative Aging Study. Toxicological Sciences. 158(1). 116–126. 9 indexed citations
7.
Nwanaji‐Enwerem, Jamaji C., Elena Colicino, Lingzhen Dai, et al.. (2017). Impacts of the Mitochondrial Genome on the Relationship of Long-Term Ambient Fine Particle Exposure with Blood DNA Methylation Age. Environmental Science & Technology. 51(14). 8185–8195. 21 indexed citations
8.
Dai, Lingzhen, Itai Kloog, Brent A. Coull, et al.. (2016). Cognitive function and short-term exposure to residential air temperature: A repeated measures study based on spatiotemporal estimates of temperature. Environmental Research. 150. 446–451. 43 indexed citations
9.
Dai, Lingzhen, Marie‐Abèle Bind, Petros Koutrakis, et al.. (2016). Fine particles, genetic pathways, and markers of inflammation and endothelial dysfunction: Analysis on particulate species and sources. Journal of Exposure Science & Environmental Epidemiology. 26(4). 415–421. 48 indexed citations
10.
Dai, Lingzhen, Amar Mehta, Irina Mordukhovich, et al.. (2016). Differential DNA methylation and PM2.5 species in a 450K epigenome-wide association study. Epigenetics. 12(2). 139–148. 41 indexed citations
11.
Dai, Lingzhen, Petros Koutrakis, Brent A. Coull, et al.. (2015). Use of the Adaptive LASSO Method to Identify PM 2.5 Components Associated with Blood Pressure in Elderly Men: The Veterans Affairs Normative Aging Study. Environmental Health Perspectives. 124(1). 120–125. 63 indexed citations
12.
Dai, Lingzhen, Antonella Zanobetti, Petros Koutrakis, & Joel Schwartz. (2014). Associations of Fine Particulate Matter Species with Mortality in the United States: A Multicity Time-Series Analysis. Environmental Health Perspectives. 122(8). 837–842. 242 indexed citations
13.
Huang, Wei, Junji Cao, Yebin Tao, et al.. (2012). Seasonal Variation of Chemical Species Associated With Short-Term Mortality Effects of PM2.5 in Xi’an, a Central City in China. American Journal of Epidemiology. 175(6). 556–566. 211 indexed citations
14.
Huang, Xiaoliang, Lingzhen Dai, P. Lu, et al.. (2012). [Time-series analysis on the acute mortality affected by air pollution, in the city of Guangzhou, 2004-2008].. PubMed. 33(2). 210–4. 5 indexed citations
15.
Tao, Yebin, Wei Huang, Xiaoliang Huang, et al.. (2011). Estimated Acute Effects of Ambient Ozone and Nitrogen Dioxide on Mortality in the Pearl River Delta of Southern China. Environmental Health Perspectives. 120(3). 393–398. 163 indexed citations
16.
Tao, Yebin, Liuju Zhong, Xiaoliang Huang, et al.. (2011). Acute mortality effects of carbon monoxide in the Pearl River Delta of China. The Science of The Total Environment. 410-411. 34–40. 33 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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