A Review of Global PM 2.5 Exposure Research Trends from 1992 to 2022

Nan Jia, Yinshuai Li, Ruishan Chen and Hongbo Yang ()
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Nan Jia: Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Environmental Science and Policy Program, Michigan State University, East Lansing, MI 48824, USA
Yinshuai Li: Department of Landscape Architecture, School of Design, Shanghai Jiao Tong University, Shanghai 200240, China
Ruishan Chen: Department of Landscape Architecture, School of Design, Shanghai Jiao Tong University, Shanghai 200240, China
Hongbo Yang: State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, China Academy of Sciences, Beijing 100085, China

Sustainability, 2023, vol. 15, issue 13, 1-15

Abstract: Exposure to air pollutants of fine particulate matter (PM 2.5 ) is a major threat to human health. Research on PM 2.5 exposure has been on the rise in recent years, but there has been a lack of systematic literature analysis in this field. To address this research gap, we conducted a bibliometric analysis of the existing publications on PM 2.5 exposure over the past three decades and analyzed the current state and historical trends of research using the open-access tool, KNIME. Our results show that the number of publications on PM 2.5 exposure has been increasing at an accelerating rate over the last 30 years. The authors of the publications are primarily from developed nations, such as countries in North America, Europe, East Asia, and Oceania. Published research is mainly from the fields of Environmental Sciences and Ecology, Environmental Sciences, and Public, Environmental and Occupational Health. The main research hotspots are exposure, air pollution, and PM 2.5 . Research is trending toward the intersection and integration of multiple subjects. Our results highlight the rapid growth of PM 2.5 -related research and provide insights into the structure, impact, and trends of this interdisciplinary field.

Keywords: PM 2.5; exposure; bibliometric analysis; Web of Science; KNIME (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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