Makoto Kelp

640 total citations
24 papers, 315 citations indexed

About

Makoto Kelp is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Makoto Kelp has authored 24 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Makoto Kelp's work include Atmospheric chemistry and aerosols (11 papers), Air Quality and Health Impacts (9 papers) and Air Quality Monitoring and Forecasting (9 papers). Makoto Kelp is often cited by papers focused on Atmospheric chemistry and aerosols (11 papers), Air Quality and Health Impacts (9 papers) and Air Quality Monitoring and Forecasting (9 papers). Makoto Kelp collaborates with scholars based in United States, Netherlands and Canada. Makoto Kelp's co-authors include J. Nathan Kutz, Julian Marshall, Daniel J. Jacob, Loretta J. Mickley, Christopher W. Tessum, Timothy V. Larson, Haipeng Lin, Melissa P. Sulprizio, Samuel J. Lin and Tianjia Liu and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Makoto Kelp

23 papers receiving 310 citations

Peers

Countries citing papers authored by Makoto Kelp

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Kelp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kelp

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kelp. A scholar is included among the top collaborators of Makoto Kelp 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 Makoto Kelp. Makoto Kelp 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

#	Work	Indexed citations
1	The rising threats of wildland-urban interface fires in the era of climate change: The Los Angeles 2025 fires 2025 ·The Innovation ·Minghao Qiu, (unknown), Makoto Kelp, Jing Li, Guanyu Huang, Mahdieh Danesh Yazdi	7
2	Effect of Recent Prescribed Burning and Land Management on Wildfire Burn Severity and Smoke Emissions in the Western United States 2025 ·AGU Advances ·Makoto Kelp, Marshall Burke, Minghao Qiu, (unknown), Tianjia Liu, Noah S. Diffenbaugh	2
3	Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research 2025 ·Geoscientific model development ·(unknown), Makoto Kelp, Paul T. Griffiths, (unknown), Kazuyuki Miyazaki, Elyse A. Pennington, Gerbrand Koren, Fernando Iglesias‐Suarez, Martin G. Schultz, Kai‐Lan Chang, Owen R. Cooper, Alexander T. Archibald, Roberto Sommariva, David Carlson, Hantao Wang, J. Jason West, Zhenze Liu	0
4	Wildfire smoke exposure and mortality burden in the USA under climate change 2025 ·Nature ·Minghao Qiu, (unknown), Carlos Gould, (unknown), Makoto Kelp, Marissa L. Childs, Jeff Wen, Yuanyu Xie, Meiyun Lin, Mathew V. Kiang, Sam Heft‐Neal, Noah S. Diffenbaugh, Marshall Burke	2
5	Improved daily PM _2.5 estimates in India reveal inequalities in recent enhancement of air quality 2025 ·Science Advances ·Ayako Kawano, Makoto Kelp, Minghao Qiu, (unknown), (unknown), (unknown), Inês L. Azevedo, Marshall Burke	5
6	Mortality Burden from Wildfire Smoke Under Climate Change 2024 ·SSRN Electronic Journal ·Minghao Qiu, Jessica Li, Carlos Gould, (unknown), Makoto Kelp, Marissa L. Childs, Mathew V. Kiang, Sam Heft‐Neal, Noah S. Diffenbaugh, Marshall Burke	3
7	Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM_2.5: Implications for Assessment of Health Impacts 2024 ·Environmental Science & Technology ·Minghao Qiu, Makoto Kelp, Sam Heft‐Neal, Xiaomeng Jin, Carlos Gould, Daniel Tong, Marshall Burke	6
8	Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) 2024 ·Atmospheric chemistry and physics ·Haipeng Lin, L. K. Emmons, Elizabeth W. Lundgren, Laura Hyesung Yang, Xu Feng, Ruijun Dang, Shixian Zhai, (unknown), Makoto Kelp, Nadia K. Colombi, Sebastian D. Eastham, Thibaud M. Fritz, Daniel Jacob	2
9	Is the smoke aloft? Caveats regarding the use of the Hazard Mapping System (HMS) smoke product as a proxy for surface smoke presence across the United States 2024 ·International Journal of Wildland Fire ·Tianjia Liu, (unknown), (unknown), Makoto Kelp, (unknown), Loretta J. Mickley, Evan Ellicott, Miriam E. Marlier, Ravan Ahmadov, Eric James	11
10	A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases 2023 ·Atmospheric measurement techniques ·(unknown), Daniel J. Jacob, Alba Lorente, Joannes D. Maasakkers, Robert J. Parker, Hartmut Boesch, Zichong Chen, Makoto Kelp, Hannah Nesser, Daniel J. Varon	27
11	Tropospheric ozone data assimilation in the NASA GEOS Composition Forecast modeling system (GEOS-CF v2.0) using satellite data for ozone vertical profiles (MLS), total ozone columns (OMI), and thermal infrared radiances (AIRS, IASI) 2023 ·Environmental Research Letters ·Makoto Kelp, Christoph A. Keller, Krzysztof Wargan, (unknown), Daniel J. Jacob	2
12	Data‐Driven Placement of PM_2.5 Air Quality Sensors in the United States: An Approach to Target Urban Environmental Injustice 2023 ·GeoHealth ·Makoto Kelp, (unknown), Samuel J. Lin, Tianjia Liu, Jay R. Turner, J. Nathan Kutz, Loretta J. Mickley	15
13	Prescribed Burns as a Tool to Mitigate Future Wildfire Smoke Exposure: Lessons for States and Rural Environmental Justice Communities 2023 ·Earth s Future ·Makoto Kelp, (unknown), Tianjia Liu, Robert M. Yantosca, (unknown), Loretta J. Mickley	16
14	A new approach for determining optimal placement of PM_2.5air quality sensors: case study for the contiguous United States 2022 ·Environmental Research Letters ·Makoto Kelp, Samuel J. Lin, J. Nathan Kutz, Loretta J. Mickley	29
15	A new approach for determining optimal placement of PM2.5 air quality sensors: case study for the contiguous United States 2021 ·Zenodo (CERN European Organization for Nuclear Research) ·Makoto Kelp, Samuel J. Lin, J. Nathan Kutz, Loretta J. Mickley	1
16	Toward Stable, General Machine‐Learned Models of the Atmospheric Chemical System 2020 ·Journal of Geophysical Research Atmospheres ·Makoto Kelp, Daniel J. Jacob, J. Nathan Kutz, Julian Marshall, Christopher W. Tessum	44
17	Sensitivity analysis of area-wide, mobile source emission factors to high-emitter vehicles in Los Angeles 2019 ·Atmospheric Environment ·Makoto Kelp, Timothy Gould, Elena Austin, Julian Marshall, Michael G. Yost, Christopher D. Simpson, Timothy V. Larson	20
18	On-highway vehicle emission factors, and spatial patterns, based on mobile monitoring and absolute principal component score 2019 ·The Science of The Total Environment ·Yifan Wen, Hui Wang, Timothy V. Larson, Makoto Kelp, Shaojun Zhang, Ye Wu, Julian Marshall	34
19	Evaluating the Potential Importance of Monoterpene Degradation for Global Acetone Production 2015 ·AGU Fall Meeting Abstracts ·Makoto Kelp, (unknown), (unknown), Emily V. Fischer	1
20	Diesel particulate matter and coal dust from trains in the Columbia River Gorge, Washington State, USA 2015 ·Atmospheric Pollution Research ·Daniel A. Jaffe, (unknown), (unknown), (unknown), Jonathan Hee, (unknown), (unknown), Juliane L. Fry, B. R. Ayres, Makoto Kelp, (unknown)	17

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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