Junya Uchida

1.1k total citations
17 papers, 537 citations indexed

About

Junya Uchida is a scholar working on Global and Planetary Change, Atmospheric Science and Radiological and Ultrasound Technology. According to data from OpenAlex, Junya Uchida has authored 17 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 11 papers in Atmospheric Science and 5 papers in Radiological and Ultrasound Technology. Recurrent topics in Junya Uchida's work include Atmospheric chemistry and aerosols (8 papers), Atmospheric aerosols and clouds (7 papers) and Radioactive contamination and transfer (5 papers). Junya Uchida is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Atmospheric aerosols and clouds (7 papers) and Radioactive contamination and transfer (5 papers). Junya Uchida collaborates with scholars based in Japan, United States and China. Junya Uchida's co-authors include Christopher S. Bretherton, Peter N. Blossey, Daisuke Goto, Teruyuki Nakajima, Masaki Satoh, Yu Morino, Haruo Tsuruta, Toshimasa Ohara, Kentaroh Suzuki and Y. Oura and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Junya Uchida

16 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junya Uchida Japan 10 502 418 91 85 48 17 537
Jolanta Kuśmierczyk-Michulec Netherlands 9 232 0.5× 170 0.4× 34 0.4× 65 0.8× 9 0.2× 38 296
Toshiki Shimbori Japan 12 234 0.5× 142 0.3× 8 0.1× 123 1.4× 80 1.7× 18 341
Alain Malo Canada 9 448 0.9× 206 0.5× 4 0.0× 255 3.0× 190 4.0× 17 583
Rachid Abida France 13 289 0.6× 265 0.6× 12 0.1× 25 0.3× 10 0.2× 21 363
Victor Winiarek France 8 527 1.0× 194 0.5× 4 0.0× 291 3.4× 178 3.7× 11 613
F. Evangelisti Italy 9 335 0.7× 381 0.9× 14 0.2× 46 0.5× 8 0.2× 22 465
K. Telegadas United States 11 249 0.5× 244 0.6× 4 0.0× 71 0.8× 11 0.2× 31 361
L. Papp Hungary 5 141 0.3× 27 0.1× 5 0.1× 65 0.8× 53 1.1× 8 211
C. S. Zerefos Greece 11 335 0.7× 413 1.0× 6 0.1× 38 0.4× 5 0.1× 30 492
W Ringer Austria 11 311 0.6× 193 0.5× 253 3.0× 95 2.0× 23 458

Countries citing papers authored by Junya Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Junya Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Uchida

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

All Works

17 of 17 papers shown
1.
Goto, Daisuke, Tomoaki Nishizawa, Junya Uchida, et al.. (2024). Development of an Aerosol Assimilation System Using a Global Non‐Hydrostatic Model, a 2‐Dimensional Variational Method, and Multiple Satellite‐Based Aerosol Products. Journal of Advances in Modeling Earth Systems. 16(9).
2.
Goto, Daisuke & Junya Uchida. (2021). Uncertainty in Aerosol Rainout Processes through the Case of the Radioactive Materials Emitted by the Fukushima Dai-ichi Nuclear Power Plant in March 2011. Journal of the Meteorological Society of Japan Ser II. 100(1). 197–217. 5 indexed citations
3.
Takagi, M., Toshimasa Ohara, Daisuke Goto, et al.. (2020). Reassessment of early 131I inhalation doses by the Fukushima nuclear accident based on atmospheric 137Cs and 131I/137Cs observation data and multi-ensemble of atmospheric transport and deposition models. Journal of Environmental Radioactivity. 218. 106233–106233. 8 indexed citations
4.
Goto, Daisuke, Yu Morino, Toshimasa Ohara, et al.. (2020). Application of linear minimum variance estimation to the multi-model ensemble of atmospheric radioactive Cs-137 with observations. Atmospheric chemistry and physics. 20(6). 3589–3607. 8 indexed citations
5.
Fonseca, Ricardo, Marouane Temimi, Narendra Nelli, et al.. (2020). On the Analysis of the Performance of WRF and NICAM in a Hyperarid Environment. Weather and Forecasting. 35(3). 891–919. 25 indexed citations
6.
7.
Nakajima, Teruyuki, Yu Morino, Haruo Tsuruta, et al.. (2017). Model depiction of the atmospheric flows of radioactive cesium emitted from the Fukushima Daiichi Nuclear Power Station accident. Progress in Earth and Planetary Science. 4(1). 62 indexed citations
8.
Uchida, Junya, Masato Mori, 政之 原, et al.. (2017). Impact of Lateral Boundary Errors on the Simulation of Clouds with a Nonhydrostatic Regional Climate Model. Monthly Weather Review. 145(12). 5059–5082. 12 indexed citations
9.
Uchida, Junya, et al.. (2016). Development of evaluation method for fault activity from fault gouges. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
10.
Uchida, Junya, Masato Mori, Hisashi Nakamura, et al.. (2016). Error and Energy Budget Analysis of a Nonhydrostatic Stretched-Grid Global Atmospheric Model. Monthly Weather Review. 144(4). 1423–1447. 16 indexed citations
11.
Goto, Daisuke, Masaki Satoh, Hirofumi Tomita, et al.. (2015). Application of a global nonhydrostatic model with a stretched-grid system to regional aerosol simulations around Japan. Geoscientific model development. 8(2). 235–259. 33 indexed citations
12.
Hasegawa, Shuichi, et al.. (2014). Hazard Mapping of Earthquake-induced Deep-seated Catastrophic Landslides for Different Scenario Earthquakes by Using LIDAR DEM and Airborne Resistivity Data. 1(1). 37–38. 1 indexed citations
13.
Bretherton, Christopher S., Junya Uchida, & Peter N. Blossey. (2010). Slow Manifolds and Multiple Equilibria in Stratocumulus‐Capped Boundary Layers. Journal of Advances in Modeling Earth Systems. 2(4). 58 indexed citations
14.
Uchida, Junya, Christopher S. Bretherton, & Peter N. Blossey. (2010). The sensitivity of stratocumulus-capped mixed layers to cloud droplet concentration: do LES and mixed-layer models agree?. Atmospheric chemistry and physics. 10(9). 4097–4109. 13 indexed citations
15.
Bretherton, Christopher S., Peter N. Blossey, & Junya Uchida. (2007). Cloud droplet sedimentation, entrainment efficiency, and subtropical stratocumulus albedo. Geophysical Research Letters. 34(3). 215 indexed citations
16.
Wyant, M. C., Christopher S. Bretherton, Andreas Chlond, et al.. (2007). A single‐column model intercomparison of a heavily drizzling stratocumulus‐topped boundary layer. Journal of Geophysical Research Atmospheres. 112(D24). 39 indexed citations
17.
Fujiwara, Osamu, et al.. (2005). Tsunami Waveform of the AD1703 Kanto Earthquake Reconstructed from the Deposit. AGU Fall Meeting Abstracts. 2005. 5 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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2026