Yousuke Sato

2.4k total citations
62 papers, 1.5k citations indexed

About

Yousuke Sato is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Yousuke Sato has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 36 papers in Global and Planetary Change and 9 papers in Earth-Surface Processes. Recurrent topics in Yousuke Sato's work include Atmospheric aerosols and clouds (26 papers), Atmospheric chemistry and aerosols (18 papers) and Meteorological Phenomena and Simulations (18 papers). Yousuke Sato is often cited by papers focused on Atmospheric aerosols and clouds (26 papers), Atmospheric chemistry and aerosols (18 papers) and Meteorological Phenomena and Simulations (18 papers). Yousuke Sato collaborates with scholars based in Japan, United States and Russia. Yousuke Sato's co-authors include Nasir Khan, Seiji Shiozawa, Hirofumi Tomita, Hisashi Yashiro, Yoshiaki Miyamoto, Seiya Nishizawa, Teruyuki Nakajima, Kentaroh Suzuki, Toshihiko Takemura and Takuro Michibata and has published in prestigious journals such as Nature, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Yousuke Sato

56 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yousuke Sato Japan 18 751 702 357 188 152 62 1.5k
Dieter Just Germany 12 932 1.2× 1.1k 1.5× 470 1.3× 92 0.5× 172 1.1× 41 1.9k
S. M. Adler‐Golden United States 18 793 1.1× 738 1.1× 629 1.8× 686 3.6× 285 1.9× 46 2.2k
Chung‐Yen Kuo Taiwan 22 384 0.5× 280 0.4× 267 0.7× 119 0.6× 43 0.3× 86 1.7k
Stefan Hofer Germany 19 450 0.6× 690 1.0× 126 0.4× 320 1.7× 162 1.1× 54 1.3k
Suqin Wu China 25 322 0.4× 560 0.8× 183 0.5× 173 0.9× 79 0.5× 110 2.3k
Allen T. Hjelmfelt United States 22 580 0.8× 134 0.2× 393 1.1× 322 1.7× 117 0.8× 62 2.2k
Zhonghai Jin United States 21 1.2k 1.6× 1.2k 1.7× 141 0.4× 160 0.9× 90 0.6× 46 1.9k
Zbigniew Ulanowski United Kingdom 21 1.2k 1.6× 1.1k 1.5× 97 0.3× 51 0.3× 42 0.3× 79 1.7k
Hiroaki Kuze Japan 20 470 0.6× 506 0.7× 164 0.5× 118 0.6× 48 0.3× 150 1.3k

Countries citing papers authored by Yousuke Sato

Since Specialization
Citations

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

Fields of papers citing papers by Yousuke Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yousuke Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Yousuke Sato. A scholar is included among the top collaborators of Yousuke Sato 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 Yousuke Sato. Yousuke Sato 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.
Honda, Takumi, Yousuke Sato, & Takemasa Miyoshi. (2023). Regression-Based Ensemble Perturbations for the Zero-Gradient Issue Posed in Lightning-Flash Data Assimilation with an Ensemble Kalman Filter. Monthly Weather Review. 151(10). 2573–2586. 3 indexed citations
2.
Jansson, Fredrik, Martin Janssens, A. Pier Siebesma, et al.. (2023). Cloud Botany: Shallow Cumulus Clouds in an Ensemble of Idealized Large‐Domain Large‐Eddy Simulations of the Trades. Journal of Advances in Modeling Earth Systems. 15(11). 8 indexed citations
3.
Sato, Yousuke, et al.. (2023). Regional Dependency of the Cloud Droplet Growth Process in Combined Analysis of Aqua MODIS and CloudSat CPR. SOLA. 19(0). 63–69. 1 indexed citations
4.
Nakata, Makiko, Mizuo Kajino, & Yousuke Sato. (2021). Effects of Mountains on Aerosols Determined by AERONET/DRAGON/J‐ALPS Measurements and Regional Model Simulations. Earth and Space Science. 8(12). 8 indexed citations
5.
Wada, Yuuki, Teruaki Enoto, Mamoru Kubo, et al.. (2021). Meteorological Aspects of Gamma‐Ray Glows in Winter Thunderstorms. Geophysical Research Letters. 48(7). 24 indexed citations
6.
7.
8.
Shima, Shin‐ichiro, Yousuke Sato, Akihiro Hashimoto, & Ryohei Misumi. (2020). Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2. Geoscientific model development. 13(9). 4107–4157. 33 indexed citations
9.
Goto, Daisuke, Yousuke Sato, Hisashi Yashiro, et al.. (2020). Global aerosol simulations using NICAM.16 on a 14 km grid spacing for a climate study: improved and remaining issues relative to a lower-resolution model. Geoscientific model development. 13(8). 3731–3768. 13 indexed citations
10.
Ushio, Tomoo, Yousuke Sato, Mitsuteru Sato, & Ryo Yoshida. (2020). Lightning Observation from Space. Japan Geoscience Union.
11.
Miyamoto, Yoshiaki, Yousuke Sato, Seiya Nishizawa, et al.. (2020). An Energy Balance Model for Low--Level Clouds Based on a Simulation Resolving Mesoscale Motions. Journal of the Meteorological Society of Japan Ser II. 98(5). 987–1004. 2 indexed citations
12.
Shima, Shin‐ichiro, Yousuke Sato, Akihiro Hashimoto, & Ryohei Misumi. (2019). Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0/2.2.1. 11 indexed citations
13.
Sato, Yousuke, Shin‐ichiro Shima, & Hirofumi Tomita. (2018). Numerical Convergence of Shallow Convection Cloud Field Simulations: Comparison Between Double‐Moment Eulerian and Particle‐Based Lagrangian Microphysics Coupled to the Same Dynamical Core. Journal of Advances in Modeling Earth Systems. 10(7). 1495–1512. 26 indexed citations
14.
Sato, Yousuke, Daisuke Goto, Takuro Michibata, et al.. (2018). Aerosol effects on cloud water amounts were successfully simulated by a global cloud-system resolving model. Nature Communications. 9(1). 985–985. 81 indexed citations
15.
Iguchi, T., et al.. (2015). Overview of the development of the Aerosol Loading Interface for Cloud microphysics In Simulation (ALICIS). Progress in Earth and Planetary Science. 2(1). 2 indexed citations
16.
Sato, Yousuke, et al.. (2015). Modeling study on the transport of summer dust and anthropogenic aerosols over the Tibetan Plateau. Atmospheric chemistry and physics. 15(21). 12581–12594. 74 indexed citations
17.
Nishizawa, Seiya, Hisashi Yashiro, Yousuke Sato, Yoshiaki Miyamoto, & Hirofumi Tomita. (2015). Influence of grid aspect ratio on planetary boundary layer turbulence in large-eddy simulations. Geoscientific model development. 8(10). 3393–3419. 110 indexed citations
18.
Sato, Yousuke, Yoshiaki Miyamoto, Seiya Nishizawa, et al.. (2015). Horizontal Distance of Each Cumulus and Cloud Broadening Distance Determine Cloud Cover. SOLA. 11(0). 75–79. 6 indexed citations
19.
Sato, Yousuke, Seiya Nishizawa, Hisashi Yashiro, Yoshiaki Miyamoto, & Hirofumi Tomita. (2014). Potential of Retrieving Shallow-Cloud Life Cycle from Future Generation Satellite Observations through Cloud Evolution Diagrams: A Suggestion from a Large Eddy Simulation. SOLA. 10(0). 10–14. 12 indexed citations
20.
Sato, Yousuke, Keiki Ogino, Noriko Sakano, et al.. (2012). Evaluation of urinary hydrogen peroxide as an oxidative stress biomarker in a healthy Japanese population. Free Radical Research. 47(3). 181–191. 16 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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