Tatsuya Yokota

8.2k total citations · 2 hit papers
187 papers, 4.8k citations indexed

About

Tatsuya Yokota is a scholar working on Global and Planetary Change, Atmospheric Science and Spectroscopy. According to data from OpenAlex, Tatsuya Yokota has authored 187 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 130 papers in Global and Planetary Change, 128 papers in Atmospheric Science and 36 papers in Spectroscopy. Recurrent topics in Tatsuya Yokota's work include Atmospheric and Environmental Gas Dynamics (126 papers), Atmospheric Ozone and Climate (113 papers) and Atmospheric chemistry and aerosols (66 papers). Tatsuya Yokota is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (126 papers), Atmospheric Ozone and Climate (113 papers) and Atmospheric chemistry and aerosols (66 papers). Tatsuya Yokota collaborates with scholars based in Japan, United States and Germany. Tatsuya Yokota's co-authors include Yukio Yoshida, Y. Ota, Andrzej Cichocki, Isamu Morino, Shamil Maksyutov, N. Eguchi, Geoffrey C. Toon, Akihiko Kuze, A. Butz and Hiroshi Watanabe and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Tatsuya Yokota

182 papers receiving 4.6k citations

Hit Papers

New global observations of the terrestrial carbon cycle f... 2009 2026 2014 2020 2011 2009 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tatsuya Yokota Japan 33 3.7k 3.0k 622 569 299 187 4.8k
Thomas G. Chrien United States 11 547 0.1× 737 0.2× 56 0.1× 700 1.2× 108 0.4× 45 2.7k
Michael J. Foster United States 17 648 0.2× 569 0.2× 46 0.1× 88 0.2× 48 0.2× 73 1.8k
E. P. Shettle United States 38 4.7k 1.3× 4.9k 1.6× 212 0.3× 445 0.8× 86 0.3× 100 6.6k
Gregg Vane United States 15 392 0.1× 544 0.2× 27 0.0× 692 1.2× 87 0.3× 35 2.7k
Anthony B. Davis United States 32 2.6k 0.7× 1.8k 0.6× 24 0.0× 781 1.4× 174 0.6× 141 3.8k
Charles M. Sarture United States 11 441 0.1× 535 0.2× 29 0.0× 488 0.9× 65 0.2× 25 1.8k
Carmine Serio Italy 28 1.5k 0.4× 1.6k 0.5× 394 0.6× 186 0.3× 32 0.1× 195 2.7k
T. Cooley United States 18 580 0.2× 673 0.2× 48 0.1× 515 0.9× 57 0.2× 79 2.2k
D. H. Staelin United States 33 1.7k 0.5× 2.6k 0.9× 100 0.2× 42 0.1× 110 0.4× 159 4.5k
Umberto Amato Italy 22 336 0.1× 337 0.1× 82 0.1× 146 0.3× 102 0.3× 102 1.5k

Countries citing papers authored by Tatsuya Yokota

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Yokota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Yokota

This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Yokota. A scholar is included among the top collaborators of Tatsuya Yokota 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 Tatsuya Yokota. Tatsuya Yokota 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.
Yokota, Tatsuya, et al.. (2025). Cortical surface electric field estimation for real-time TMS with graph neural networks. Physics in Medicine and Biology. 70(23). 235010–235010.
2.
Uchino, Osamu, Tetsu Sakai, Tomohiro Nagai, et al.. (2017). Lidar detection of high concentrations of ozone and aerosol transported from northeastern Asia over Saga, Japan. Atmospheric chemistry and physics. 17(3). 1865–1879. 7 indexed citations
3.
Imasu, Ryoichi, Аndrey Bril, Tatsuya Yokota, et al.. (2017). Validation of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> Retrieved by PPDF-S Method and Comparison with Full Physics Method. SOLA. 13(0). 168–173. 5 indexed citations
4.
Kikuchi, N., Akihiko Kuze, Fumie Kataoka, et al.. (2016). Multi-layer Retrievals of Greenhouse Gases from a Combined Use of GOSAT TANSO-FTS SWIR and TIR. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
5.
Inoue, M., Isamu Morino, Osamu Uchino, et al.. (2014). Validation of XCH 4 derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data. Atmospheric measurement techniques. 7(9). 2987–3005. 29 indexed citations
6.
Maksyutov, Shamil, Hiroshi Takagi, Vinu Valsala, et al.. (2013). Regional CO 2 flux estimates for 2009–2010 based on GOSAT and ground-based CO 2 observations. Atmospheric chemistry and physics. 13(18). 9351–9373. 123 indexed citations
7.
Murakami, K., T. Sasai, Syou Kato, et al.. (2013). Evaluations of carbon fluxes estimated by top-down and bottom-up approaches. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
8.
Saeki, Tazu, Shamil Maksyutov, Makoto Saito, et al.. (2013). Inverse Modeling of CO<sub>2</sub> Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations. SOLA. 9(0). 45–50. 33 indexed citations
9.
Uchino, Osamu, Isamu Morino, Yukio Yoshida, et al.. (2012). Advanced validation of the GOSAT-observed CO2 and CH4 at TCCON and prioritized observation sites. EGU General Assembly Conference Abstracts. 14. 1463. 1 indexed citations
10.
Yoshida, Yukio, N. Kikuchi, & Tatsuya Yokota. (2012). On-orbit radiometric calibration of SWIR bands of TANSO-FTS onboard GOSAT. Atmospheric measurement techniques. 5(10). 2515–2523. 19 indexed citations
11.
Uchino, Osamu, Nobuyuki Kikuchi, Tetsu Sakai, et al.. (2012). Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO 2 : a case study over Tsukuba. Atmospheric chemistry and physics. 12(7). 3393–3404. 31 indexed citations
12.
Saitoh, Naoko, Sachiko Hayashida, Ryoichi Imasu, et al.. (2012). Comparisons between XCH<sub>4</sub> from GOSAT Shortwave and Thermal Infrared Spectra and Aircraft CH<sub>4</sub> Measurements over Guam. SOLA. 8(0). 145–149. 30 indexed citations
13.
Takagi, Hiroshi, Tazu Saeki, Tomohiro Oda, et al.. (2011). On the Benefit of GOSAT Observations to the Estimation of Regional CO<sub>2</sub> Fluxes. SOLA. 7(0). 161–164. 55 indexed citations
14.
Yoshida, Yukio, Nawo Eguchi, Y. Ota, et al.. (2010). Global column abundances of carbon dioxide and methane retrieved from Greenhouse gases Observing SATellite (GOSAT) observation. EGU General Assembly Conference Abstracts. 7210. 1 indexed citations
15.
Yokota, Tatsuya, Yukio Yoshida, N. Eguchi, et al.. (2009). Global Concentrations of CO2 and CH4 Retrieved from GOSAT: First Preliminary Results. SOLA. 5. 160–163. 477 indexed citations breakdown →
17.
Bril, Аndrey, Sergey Oshchepkov, Tatsuya Yokota, & Gen Inoue. (2006). Parameterization of Aerosol and Cirrus Cloud Effect on Reflected Sunlight Spectra Measured From Space: Application of the Equivalence Theorem. AGUFM. 2006. 1 indexed citations
18.
Saitoh, Naoko, Sachiko Hayashida, T. Sugita, et al.. (2006). Variation in PSC Occurrence Observed with ILAS-II over the Antarctic in 2003. SOLA. 2(0). 72–75. 3 indexed citations
19.
Nakajima, H., et al.. (2003). Current status and early result of the ILAS-II onboard the ADEOS-II satellite. EGS - AGU - EUG Joint Assembly. 7800. 3 indexed citations
20.
Oshchepkov, Sergey, Yasuhiro Sasano, & Tatsuya Yokota. (2002). New method for simultaneous gas and aerosol retrievals from space limb-scanning spectral observation of the atmosphere. Applied Optics. 41(21). 4234–4234. 6 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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