Masahito Ueyama

5.8k total citations
88 papers, 1.6k citations indexed

About

Masahito Ueyama is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Masahito Ueyama has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Global and Planetary Change, 48 papers in Atmospheric Science and 17 papers in Ecology. Recurrent topics in Masahito Ueyama's work include Plant Water Relations and Carbon Dynamics (51 papers), Atmospheric and Environmental Gas Dynamics (41 papers) and Climate change and permafrost (24 papers). Masahito Ueyama is often cited by papers focused on Plant Water Relations and Carbon Dynamics (51 papers), Atmospheric and Environmental Gas Dynamics (41 papers) and Climate change and permafrost (24 papers). Masahito Ueyama collaborates with scholars based in Japan, United States and United Kingdom. Masahito Ueyama's co-authors include Yoshinobu Harazono, Hiroki Iwata, Yoshiyuki Takahashi, Kazuhito Ichii, Yongwon Kim, Donatella Zona, Nobuko Saigusa, Walter C. Oechel, Ken Hamotani and Hirohiko Nagano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Remote Sensing of Environment.

In The Last Decade

Masahito Ueyama

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masahito Ueyama Japan 24 1.2k 788 387 226 166 88 1.6k
Mathias Göckede Germany 22 1.1k 0.9× 818 1.0× 288 0.7× 244 1.1× 95 0.6× 62 1.5k
Mike Goulden United States 12 1.6k 1.3× 703 0.9× 538 1.4× 189 0.8× 132 0.8× 19 1.8k
Ryuichi Hirata Japan 24 1.2k 1.0× 348 0.4× 616 1.6× 183 0.8× 159 1.0× 52 1.6k
Philip J. Riggan United States 20 1.2k 1.0× 533 0.7× 420 1.1× 173 0.8× 134 0.8× 51 1.6k
Meelis Mölder Sweden 25 1.4k 1.2× 679 0.9× 377 1.0× 253 1.1× 295 1.8× 55 1.7k
Andrej Varlagin Russia 22 1.7k 1.5× 680 0.9× 776 2.0× 227 1.0× 280 1.7× 40 2.0k
Chuixiang Yi United States 26 2.0k 1.6× 1.1k 1.4× 385 1.0× 317 1.4× 350 2.1× 66 2.4k
Julia K. Green United States 13 1.3k 1.1× 533 0.7× 412 1.1× 363 1.6× 146 0.9× 24 1.7k
Julien Ruffault France 23 1.6k 1.3× 457 0.6× 289 0.7× 172 0.8× 233 1.4× 43 1.8k
Hyojung Kwon United States 24 875 0.7× 486 0.6× 357 0.9× 217 1.0× 138 0.8× 53 1.2k

Countries citing papers authored by Masahito Ueyama

Since Specialization
Citations

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

Fields of papers citing papers by Masahito Ueyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahito Ueyama

This figure shows the co-authorship network connecting the top 25 collaborators of Masahito Ueyama. A scholar is included among the top collaborators of Masahito Ueyama 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 Masahito Ueyama. Masahito Ueyama 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.
Kobayashi, Hideki, Masaki Uchida, Tetsuo Sueyoshi, et al.. (2025). Studies of arctic–boreal ecosystem function and biogeochemical cycles in the ArCS II terrestrial program. Polar Science. 45. 101164–101164. 1 indexed citations
2.
Ueyama, Masahito, Taku Umezawa, Yukio Terao, Mark F. Lunt, & James L. France. (2025). Evaluating urban methane emissions and their attributes in a megacity, Osaka, Japan, via mobile and eddy covariance measurements. Atmospheric chemistry and physics. 25(19). 12513–12534.
3.
Ichii, Kazuhito, Yuhei YAMAMOTO, Masahito Ueyama, et al.. (2025). Can Subdaily LST Be Constructed in High-Latitude Regions Using Polar Orbiting Satellites?. IEEE Geoscience and Remote Sensing Letters. 22. 1–5.
4.
Helbig, Manuel, et al.. (2024). Boreal Forest Fire Causes Daytime Surface Warming During Summer to Exceed Surface Cooling During Winter in North America. SHILAP Revista de lepidopterología. 5(5). 3 indexed citations
5.
6.
Qu, Bo, Alexandre Roy, Joe R. Melton, et al.. (2023). A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC). Environmental Research Letters. 18(8). 85002–85002. 3 indexed citations
7.
Matsumoto, Kazuho, et al.. (2023). El Niño-Southern Oscillation forcing on carbon and water cycling in a Bornean tropical rainforest. Proceedings of the National Academy of Sciences. 120(42). e2301596120–e2301596120. 3 indexed citations
8.
Kannenberg, Steven A., Antoine Cabon, Flurin Babst, et al.. (2022). Drought-induced decoupling between carbon uptake and tree growth impacts forest carbon turnover time. Agricultural and Forest Meteorology. 322. 108996–108996. 32 indexed citations
9.
Yi, Yonghong, John S. Kimball, Jennifer D. Watts, et al.. (2020). Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model. Biogeosciences. 17(22). 5861–5882. 20 indexed citations
10.
Ueyama, Masahito, et al.. (2017). Surface energy exchange in a dense urban built-up area based on two-year eddy covariance measurements in Sakai, Japan. Urban Climate. 19. 155–169. 25 indexed citations
11.
Ueyama, Masahito, et al.. (2016). Diurnal, weekly, seasonal, and spatial variabilities in carbon dioxide flux in different urban landscapes in Sakai, Japan. Atmospheric chemistry and physics. 16(22). 14727–14740. 39 indexed citations
12.
Zona, Donatella, David A. Lipson, James H. Richards, et al.. (2014). Delayed responses of an Arctic ecosystem to an extreme summer: impacts on net ecosystem exchange and vegetation functioning. Biogeosciences. 11(20). 5877–5888. 29 indexed citations
13.
14.
Iwata, Hiroki, Masahito Ueyama, Yoshinobu Harazono, et al.. (2011). Quick Recovery of Carbon Dioxide Exchanges in a Burned Black Spruce Forest in Interior Alaska. SOLA. 7. 105–108. 22 indexed citations
15.
Ueyama, Masahito, Kazuhito Ichii, Kentaro Takagi, et al.. (2010). Simulating carbon and water cycles of larch forests in East Asia by the BIOME-BGC model with AsiaFlux data. Biogeosciences. 7(3). 959–977. 49 indexed citations
16.
Ichii, Kazuhito, Takashi Suzuki, Tomomichi Kato, et al.. (2010). Multi-model analysis of terrestrial carbon cycles in Japan: limitations and implications of model calibration using eddy flux observations. Biogeosciences. 7(7). 2061–2080. 31 indexed citations
17.
Harazono, Yoshinobu, et al.. (2009). Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan. Journal of Agricultural Meteorology. 65(4). 365–374. 14 indexed citations
18.
19.
Ueyama, Masahito, et al.. (2006). Micrometeorological measurements of methane flux at a boreal forest in central Alaska. Memoirs of National Institute of Polar Research. Special issue. 59(59). 156–167. 8 indexed citations
20.
Kim, Yongwon, Masahito Ueyama, Fumiko Nakagawa, et al.. (2006). Assessment of winter fluxes of CO2 and CH4 in boreal forest soils of central Alaska estimated by the profile method and the chamber method: A diagnosis of methane emission and implications for the regional carbon budget. AGU Fall Meeting Abstracts. 2006. 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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