R. Subramanian

9.0k total citations · 1 hit paper
97 papers, 5.1k citations indexed

About

R. Subramanian is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, R. Subramanian has authored 97 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Health, Toxicology and Mutagenesis, 50 papers in Atmospheric Science and 31 papers in Global and Planetary Change. Recurrent topics in R. Subramanian's work include Atmospheric chemistry and aerosols (50 papers), Air Quality and Health Impacts (48 papers) and Air Quality Monitoring and Forecasting (28 papers). R. Subramanian is often cited by papers focused on Atmospheric chemistry and aerosols (50 papers), Air Quality and Health Impacts (48 papers) and Air Quality Monitoring and Forecasting (28 papers). R. Subramanian collaborates with scholars based in United States, India and France. R. Subramanian's co-authors include Allen L. Robinson, Juan C. Cabada, Andrey Khlystov, Albert A. Presto, Wolfgang F. Rogge, Neil M. Donahue, Carl Malings, Spyros Ν. Pandis, Anna Bernardo-Bricker and Tami C. Bond and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

R. Subramanian

93 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors

2021 246 citations Michael R. Giordano, Spyros Ν. Pandis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Subramanian United States	41	3.2k	3.0k	2.0k	1.5k	875	97	5.1k
Jeff Peischl United States	42	3.7k 1.2×	1.9k 0.6×	2.8k 1.4×	857 0.6×	471 0.5×	110	4.9k
Yuanhang Zhang China	48	5.6k 1.8×	5.3k 1.7×	2.0k 1.0×	2.4k 1.6×	1.2k 1.4×	159	7.7k
Junichi Kurokawa Japan	28	4.2k 1.3×	2.9k 1.0×	2.4k 1.2×	963 0.7×	744 0.9×	146	5.9k
Albert A. Presto United States	49	4.8k 1.5×	6.0k 2.0×	1.6k 0.8×	2.3k 1.6×	2.1k 2.4×	136	8.0k
Yuzhong Zhang China	33	2.6k 0.8×	1.6k 0.5×	2.3k 1.1×	846 0.6×	225 0.3×	92	4.0k
Lu Shen United States	31	3.9k 1.2×	3.0k 1.0×	2.1k 1.1×	1.7k 1.2×	405 0.5×	67	5.0k
Yuanxun Zhang China	34	2.1k 0.6×	3.1k 1.0×	691 0.3×	1.2k 0.8×	689 0.8×	176	4.5k
B. M. Lerner United States	43	4.3k 1.4×	2.2k 0.7×	1.9k 0.9×	1.3k 0.9×	670 0.8×	89	5.0k
Kihong Park South Korea	29	1.8k 0.6×	2.2k 0.7×	662 0.3×	654 0.4×	896 1.0×	125	3.5k
Yang Yang China	48	4.7k 1.5×	3.9k 1.3×	3.3k 1.7×	1.7k 1.1×	421 0.5×	332	7.7k

Countries citing papers authored by R. Subramanian

Since Specialization

Citations

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

Fields of papers citing papers by R. Subramanian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Subramanian

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

All Works

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20 of 20 papers shown

Coker, Eric S., et al.. (2025). Utility of low-cost sensor measurement for predicting ambient PM_2.5 concentrations: evidence from a monitoring network in Accra, Ghana. Environmental Science Atmospheres. 5(4). 517–529.

Giordano, Michael R., Matthias Beekmann, Daniel M. Westervelt, et al.. (2025). Seasonal multisite low-cost sensor measurements to estimate spatial and temporal variability of particulate matter pollution in Nairobi, Kenya. Atmospheric Pollution Research. 16(10). 102630–102630.

Li, Zhongju, Peishi Gu, Qing Ye, et al.. (2019). Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors. Atmospheric Environment X. 2. 100012–100012. 83 indexed citations

Bilsback, Kelsey R., Michael Johnson, John K. Kodros, et al.. (2018). Field measurements of solid-fuel cookstove emissions from uncontrolled cooking in China, Honduras, Uganda, and India. Atmospheric Environment. 190. 116–125. 57 indexed citations

Bilsback, Kelsey R., Nicholas Good, Michael Johnson, et al.. (2018). The Firepower Sweep Test: A novel approach to cookstove laboratory testing. Indoor Air. 28(6). 936–949. 24 indexed citations

Zimmerman, Naomi, Albert A. Presto, Sriniwasa P. N. Kumar, et al.. (2017). Closing the gap on lower cost air quality monitoring: machine learning calibration models to improve low-cost sensor performance. 27 indexed citations

Ellis, Aja, Ross Edwards, Martin Saunders, et al.. (2016). Individual particle morphology, coatings, and impurities of black carbon aerosols in Antarctic ice and tropical rainfall. Geophysical Research Letters. 43(22). 7 indexed citations

Ahern, Adam T., R. Subramanian, Georges Saliba, et al.. (2016). Effect of secondary organic aerosol coating thickness on the real-time detection and characterization of biomass-burning soot by two particle mass spectrometers. Atmospheric measurement techniques. 9(12). 6117–6137. 26 indexed citations

Roscioli, Joseph, Tara I. Yacovitch, Cody Floerchinger, et al.. (2015). Measurements of methane emissions from natural gas gathering facilities and processing plants: measurement methods. Atmospheric measurement techniques. 8(5). 2017–2035. 80 indexed citations

10.

Ellis, Aja, Ross Edwards, Martin Saunders, et al.. (2015). Characterizing black carbon in rain and ice cores using coupled tangential flow filtration and transmission electron microscopy. Atmospheric measurement techniques. 8(9). 3959–3969. 13 indexed citations

11.

Gyawali, Madhu, W. P. Arnott, R. A. Zaveri, et al.. (2013). Evolution of multispectral aerosol optical properties in a biogenically-influenced urban environment during the CARES campaign. PDXScholar (Portland State University). 6 indexed citations

12.

Herndon, Scott C., Cody Floerchinger, Joseph Roscioli, et al.. (2013). Measuring Methane Emissions from Industrial and Waste Processing Sites Using the Dual Tracer Flux Ratio Method. AGU Fall Meeting Abstracts. 2013. 4 indexed citations

13.

Setyan, A., Qi Zhang, Maik Merkel, et al.. (2012). Submicron particles influenced by mixed biogenic and anthropogenic emissions: high-resolution aerosol mass spectrometry results from the Carbonaceous Aerosols and Radiative Effects Study (CARES). 3 indexed citations

14.

Setyan, A., Qi Zhang, Maik Merkel, et al.. (2012). Characterization of submicron particles influenced by mixed biogenic and anthropogenic emissions using high-resolution aerosol mass spectrometry: results from CARES. Atmospheric chemistry and physics. 12(17). 8131–8156. 109 indexed citations

15.

Popovicheva, Olga, Darrel Baumgardner, R. Subramanian, et al.. (2011). Tailored graphitized soot as reference material for EC/OC measurement validation. Atmospheric measurement techniques. 4(5). 923–932. 5 indexed citations

16.

Pratt, Kerri A., S. M. Murphy, R. Subramanian, et al.. (2011). Flight-based chemical characterization of biomass burning aerosols within two prescribed burn smoke plumes. Atmospheric chemistry and physics. 11(24). 12549–12565. 154 indexed citations

17.

Laborde, M., et al.. (2011). Effective density of Aquadag and fullerene soot black carbon reference materials used for SP2 calibration. Atmospheric measurement techniques. 4(12). 2851–2858. 136 indexed citations

18.

Subramanian, R., Gregory L. Kok, Darrel Baumgardner, et al.. (2010). Black carbon over Mexico: the effect of atmospheric transport on mixing state, mass absorption cross-section, and BC/CO ratios. Atmospheric chemistry and physics. 10(1). 219–237. 122 indexed citations

19.

Subramanian, R., Andrey Khlystov, Juan C. Cabada, & Allen L. Robinson. (2004). Positive and negative artifacts in particulate organic carbon measurements with denuded and undenuded sampler configurations. Aerosol Science and Technology. 38. 27–48. 149 indexed citations

20.

Cabada, Juan C., Spyros Ν. Pandis, Allen L. Robinson, et al.. (2002). The contribution of secondary organic aerosol to PM2.5 concentrations in Pittsburgh. AGU Fall Meeting Abstracts. 2002. 1 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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