Renjun Ma
Impact in
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- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Statistical Methods and Bayesian Inference 14
- Statistical Methods and Inference 5
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- Bayesian Methods and Mixture Models 8
- Co-authors
- Daniel Krewski (7 shared papers)Michael Jerrett (7 shared papers)Richard T. Burnett (7 shared papers)C. Arden Pope (5 shared papers)K. Bruce Newbold (4 shared papers)George D. Thurston (3 shared papers)Michael J. Thun (3 shared papers)Eugenia E. Calle (2 shared papers)
- Journals
- Environmental and Ecological Statistics (3 papers)Epidemiology (3 papers)Statistics in Medicine (2 papers)Environmental Health Perspectives (2 papers)Canadian Journal of Statistics (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Renjun Ma
28 papers receiving 1.2k citations
Renjun Ma's Hit Papers
Peers
Comparison fields: 5 of 107
- Health, Toxicology and Mutagenesis 802
- Modeling and Simulation 93
- Environmental Engineering 254
- Transportation 99
- Speech and Hearing 84
Countries citing papers authored by Renjun Ma
This map shows the geographic impact of Renjun Ma'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 Renjun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renjun Ma more than expected).
Fields of papers citing papers by Renjun Ma
This network shows the impact of papers produced by Renjun Ma. 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 Renjun Ma. The network helps show where Renjun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Renjun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spatial Analysis of Air Pollution and Mortality in Los Angeles Hit paper breakdown → | 2005 | 766 |
| 2 | 2020 | 118 | |
| 3 | 2003 | 88 | |
| 4 | 2001 | 58 | |
| 5 | 2007 | 39 | |
| 6 | 2006 | 38 | |
| 7 | 2001 | 23 | |
| 8 | 2003 | 22 | |
| 9 | 2007 | 19 | |
| 10 | 2009 | 16 | |
| 11 | 2009 | 16 | |
| 12 | 2009 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2018 | 7 | |
| 15 | 2009 | 6 | |
| 16 | 2012 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2019 | 3 | |
| 20 | 2014 | 3 |
About Renjun Ma
Renjun Ma is a scholar working on Statistics and Probability, Artificial Intelligence, Health, Toxicology and Mutagenesis, Economics and Econometrics and Global and Planetary Change, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (8 papers), Air Quality and Health Impacts (7 papers), Statistical Methods and Inference (5 papers), Climate Change and Health Impacts (4 papers), COVID-19 epidemiological studies (3 papers), Economic and Environmental Valuation (3 papers) and Urban Transport and Accessibility (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (802 citations), Modeling and Simulation (93 citations), Environmental Engineering (254 citations), Transportation (99 citations) and Speech and Hearing (84 citations). Renjun Ma has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Daniel Krewski, Michael Jerrett, Richard T. Burnett, C. Arden Pope, K. Bruce Newbold, George D. Thurston, Michael J. Thun, Eugenia E. Calle, Norm Finkelstein and Yuanli Shi. Their work appears in journals such as Environmental and Ecological Statistics, Epidemiology, Statistics in Medicine, Environmental Health Perspectives and Canadian Journal of Statistics.
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.