Ronald Macatangay

2.9k total citations
41 papers, 1.0k citations indexed

About

Ronald Macatangay is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ronald Macatangay has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ronald Macatangay's work include Atmospheric chemistry and aerosols (26 papers), Atmospheric and Environmental Gas Dynamics (25 papers) and Atmospheric Ozone and Climate (17 papers). Ronald Macatangay is often cited by papers focused on Atmospheric chemistry and aerosols (26 papers), Atmospheric and Environmental Gas Dynamics (25 papers) and Atmospheric Ozone and Climate (17 papers). Ronald Macatangay collaborates with scholars based in Thailand, United States and Australia. Ronald Macatangay's co-authors include Justus Notholt, Thorsten Warneke, Nicholas M. Deutscher, Debra Wunch, P. O. Wennberg, Ilse Aben, J. Messerschmidt, Michael Buchwitz, John P. Burrows and Oliver Schneising and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Astrophysical Journal.

In The Last Decade

Ronald Macatangay

38 papers receiving 1.0k citations

Peers

Ronald Macatangay
J. Heymann Germany
Xiaozhen Xiong United States
Mathias Palm Germany
Joost aan de Brugh Netherlands
J. Davies Canada
J. Heymann Germany
Ronald Macatangay
Citations per year, relative to Ronald Macatangay Ronald Macatangay (= 1×) peers J. Heymann

Countries citing papers authored by Ronald Macatangay

Since Specialization
Citations

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

Fields of papers citing papers by Ronald Macatangay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronald Macatangay

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

All Works

20 of 20 papers shown
1.
Macatangay, Ronald, et al.. (2025). Temperature-constrained lidar retrieval of planetary boundary layer height over Chiang Mai, Thailand. Atmospheric measurement techniques. 18(17). 4347–4356.
2.
Henze, Daven K., et al.. (2025). Source Attribution and Health Burden of PM2.5 in Mainland Thailand. GeoHealth. 9(9). e2024GH001315–e2024GH001315.
3.
Macatangay, Ronald, et al.. (2024). Understanding the seasonal dynamics of surface PM2.5 mass distribution and source contributions over Thailand. Atmospheric Environment. 331. 120613–120613. 10 indexed citations
4.
Chotamonsak, Chakrit, et al.. (2024). Assessment of Transboundary PM2.5 from Biomass Burning in Northern Thailand Using the WRF-Chem Model. Toxics. 12(7). 462–462. 6 indexed citations
5.
Fan, Peilei, et al.. (2024). Land surface temperature and transboundary air pollution: a case of Bangkok Metropolitan Region. Scientific Reports. 14(1). 10955–10955. 4 indexed citations
6.
Gheewala, Shabbir H., et al.. (2023). Association between ambient air particulate matter and human health impacts in northern Thailand. Scientific Reports. 13(1). 12753–12753. 13 indexed citations
7.
Amnuaylojaroen, Teerachai, Vanisa Surapipith, & Ronald Macatangay. (2022). Projection of the Near-Future PM2.5 in Northern Peninsular Southeast Asia under RCP8.5. Atmosphere. 13(2). 305–305. 7 indexed citations
8.
Macatangay, Ronald, Vanisa Surapipith, Chakrit Chotamonsak, et al.. (2022). Surface PM2.5 mass concentrations during the dry season over northern Thailand: Sensitivity to model aerosol chemical schemes and the effects on regional meteorology. Atmospheric Research. 277. 106303–106303. 21 indexed citations
9.
Macatangay, Ronald, et al.. (2021). Improved mixing height estimates from atmospheric LiDAR measurements. Journal of Physics Conference Series. 2145(1). 12053–12053. 1 indexed citations
10.
Ruffolo, D., A. Sáiz, W. Mitthumsiri, et al.. (2020). Tracking Cosmic-Ray Spectral Variation during 2007–2018 Using Neutron Monitor Time-delay Measurements. The Astrophysical Journal. 890(1). 21–21. 13 indexed citations
11.
Amnuaylojaroen, Teerachai, et al.. (2019). Modeling the effect of VOCs from biomass burning emissions on ozone pollution in upper Southeast Asia. Heliyon. 5(10). e02661–e02661. 31 indexed citations
12.
Velazco, Voltaire A., Isamu Morino, Osamu Uchino, et al.. (2017). Total Carbon Column Observing Network Philippines: Toward Quantifying Atmospheric Carbon in Southeast Asia. 2(2). 1–12. 7 indexed citations
13.
Deutscher, Nicholas M., V. Sherlock, S. E. Mikaloff Fletcher, et al.. (2014). Drivers of column-average CO 2 variability at Southern Hemispheric Total Carbon Column Observing Network sites. Atmospheric chemistry and physics. 14(18). 9883–9901. 14 indexed citations
14.
Macatangay, Ronald, et al.. (2014). Factors influencing surface CO2 variations in LPRU, Thailand and IESM, Philippines. Environmental Pollution. 195. 282–291. 3 indexed citations
15.
Kawasaki, Mitsuo, Hidekazu Yoshioka, Nicholas Jones, et al.. (2012). Usability of optical spectrum analyzer in measuring atmospheric CO 2 and CH 4 column densities: inspection with FTS and aircraft profiles in situ. Atmospheric measurement techniques. 5(11). 2593–2600. 9 indexed citations
16.
Schneising, Oliver, P. Bergamaschi, H. Bovensmann, et al.. (2012). Atmospheric greenhouse gases retrieved from SCIAMACHY: comparison to ground-based FTS measurements and model results. Atmospheric chemistry and physics. 12(3). 1527–1540. 60 indexed citations
17.
Cogan, A. J., Hartmut Boesch, Robert J. Parker, et al.. (2012). Atmospheric carbon dioxide retrieved from the Greenhouse gases Observing SATellite (GOSAT): Comparison with ground‐based TCCON observations and GEOS‐Chem model calculations. Journal of Geophysical Research Atmospheres. 117(D21). 125 indexed citations
18.
Butz, A., Sandrine Guerlet, Otto Hasekamp, et al.. (2011). Toward accurate CO 2 and CH 4 observations from GOSAT. Research Online (University of Wollongong). 2011. 1 indexed citations
19.
Houweling, Sander, Ilse Aben, François‐Marie Bréon, et al.. (2010). The importance of transport model uncertainties for the estimation of CO 2 sources and sinks using satellite measurements. Atmospheric chemistry and physics. 10(20). 9981–9992. 68 indexed citations
20.
Warneke, Thorsten, A. K. Petersen, Christoph Gerbig, et al.. (2010). Co-located column and in situ measurements of CO 2 in the tropics compared with model simulations. Atmospheric chemistry and physics. 10(12). 5593–5599. 7 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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