Sheila Tripathy

551 total citations
16 papers, 420 citations indexed

About

Sheila Tripathy is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Sheila Tripathy has authored 16 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 9 papers in Environmental Engineering and 4 papers in Automotive Engineering. Recurrent topics in Sheila Tripathy's work include Air Quality and Health Impacts (16 papers), Air Quality Monitoring and Forecasting (9 papers) and Climate Change and Health Impacts (6 papers). Sheila Tripathy is often cited by papers focused on Air Quality and Health Impacts (16 papers), Air Quality Monitoring and Forecasting (9 papers) and Climate Change and Health Impacts (6 papers). Sheila Tripathy collaborates with scholars based in United States and United Kingdom. Sheila Tripathy's co-authors include Jane E. Clougherty, Brett Tunno, Ellen Kinnee, Jessie L. C. Shmool, Drew R. Michanowicz, Leah Cambal, Fernando Holguín, Courtney Roper, Lauren Chubb and Kyra Naumoff Shields and has published in prestigious journals such as Journal of the American College of Cardiology, The Science of The Total Environment and Environmental Health Perspectives.

In The Last Decade

Sheila Tripathy

15 papers receiving 417 citations

Peers

Sheila Tripathy

HTM

Sabine Host France

John Gorczynski United States

Richard L. Smith United States

Karla Poplawski Canada

Elizabeth W. Spalt United States

Annemoon M. van Erp United States

Xinxin Zhai United States

J.L. Haney United States

Brett Tunno United States

Richard T. Burnett Canada

Sabine Host France

Sheila Tripathy

460 ×1.3

HTM

160 ×0.9

81 ×1.0

76 ×1.1

33 ×0.6

Citations per year, relative to Sheila Tripathy Sheila Tripathy (= 1×) peers Sabine Host

Countries citing papers authored by Sheila Tripathy

Since Specialization

Citations

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

Fields of papers citing papers by Sheila Tripathy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheila Tripathy

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

All Works

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16 of 16 papers shown

Tripathy, Sheila, et al.. (2022). Benzene and NO2 Exposure during Pregnancy and Preterm Birth in Two Philadelphia Hospitals, 2013–2017. International Journal of Environmental Research and Public Health. 19(16). 10365–10365.

Tripathy, Sheila, Anna L. Marsland, Ellen Kinnee, et al.. (2021). Long-Term Ambient Air Pollution Exposures and Circulating and Stimulated Inflammatory Mediators in a Cohort of Midlife Adults. Environmental Health Perspectives. 129(5). 57007–57007. 42 indexed citations

Kinnee, Ellen, Sheila Tripathy, Leah H. Schinasi, et al.. (2020). Geocoding Error, Spatial Uncertainty, and Implications for Exposure Assessment and Environmental Epidemiology. International Journal of Environmental Research and Public Health. 17(16). 5845–5845. 20 indexed citations

Michanowicz, Drew R., Mike Jackson, Leah Cambal, et al.. (2019). Evaluating deciduous tree leaves as biomonitors for ambient particulate matter pollution in Pittsburgh, PA, USA. Environmental Monitoring and Assessment. 191(12). 711–711. 9 indexed citations

Tripathy, Sheila, Brett Tunno, Drew R. Michanowicz, et al.. (2019). Hybrid land use regression modeling for estimating spatio-temporal exposures to PM2.5, BC, and metal components across a metropolitan area of complex terrain and industrial sources. The Science of The Total Environment. 673. 54–63. 40 indexed citations

Erqou, Sebhat, Jane E. Clougherty, Claudia Bambs, et al.. (2018). ASSOCIATIONS AMONG CUMULATIVE SOCIAL RISK, IDEAL CARDIOVASCULAR HEALTH AND EXPOSURE TO ENVIRONMENTAL POLLUTANTS. Journal of the American College of Cardiology. 71(11). A1857–A1857. 1 indexed citations

Erqou, Sebhat, Jane E. Clougherty, Oladipupo Olafiranye, et al.. (2018). Particulate Matter Air Pollution and Racial Differences in Cardiovascular Disease Risk. Arteriosclerosis Thrombosis and Vascular Biology. 38(4). 935–942. 63 indexed citations

Tunno, Brett, Sheila Tripathy, Ellen Kinnee, et al.. (2018). Fine-Scale Source Apportionment Including Diesel-Related Elemental and Organic Constituents of PM2.5 across Downtown Pittsburgh. International Journal of Environmental Research and Public Health. 15(10). 2177–2177. 11 indexed citations

Tunno, Brett, Drew R. Michanowicz, Jessie L. C. Shmool, et al.. (2018). Spatial Patterns in Rush-Hour vs. Work-Week Diesel-Related Pollution across a Downtown Core. International Journal of Environmental Research and Public Health. 15(9). 1968–1968. 8 indexed citations

10.

Tunno, Brett, Jessie L. C. Shmool, Drew R. Michanowicz, et al.. (2016). Spatial variation in diesel-related elemental and organic PM2.5 components during workweek hours across a downtown core. The Science of The Total Environment. 573. 27–38. 19 indexed citations

11.

Michanowicz, Drew R., Jessie L. C. Shmool, Brett Tunno, et al.. (2016). A hybrid land use regression/AERMOD model for predicting intra-urban variation in PM2.5. Atmospheric Environment. 131. 307–315. 50 indexed citations

12.

Michanowicz, Drew R., Jessie L. C. Shmool, Leah Cambal, et al.. (2016). A hybrid land use regression/line-source dispersion model for predicting intra-urban NO2. Transportation Research Part D Transport and Environment. 43. 181–191. 15 indexed citations

13.

Tunno, Brett, Rebecca Dalton, Drew R. Michanowicz, et al.. (2015). Spatial patterning in PM2.5 constituents under an inversion-focused sampling design across an urban area of complex terrain. Journal of Exposure Science & Environmental Epidemiology. 26(4). 385–396. 35 indexed citations

14.

Tunno, Brett, Kyra Naumoff Shields, Leah Cambal, et al.. (2015). Indoor air sampling for fine particulate matter and black carbon in industrial communities in Pittsburgh. The Science of The Total Environment. 536. 108–115. 45 indexed citations

15.

Tunno, Brett, Drew R. Michanowicz, Jessie L. C. Shmool, et al.. (2015). Spatial variation in inversion-focused vs 24-h integrated samples of PM2.5 and black carbon across Pittsburgh, PA. Journal of Exposure Science & Environmental Epidemiology. 26(4). 365–376. 30 indexed citations

16.

Shmool, Jessie L. C., Drew R. Michanowicz, Leah Cambal, et al.. (2014). Saturation sampling for spatial variation in multiple air pollutants across an inversion-prone metropolitan area of complex terrain. Environmental Health. 13(1). 28–28. 32 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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