Hidetaka Sasaki
- Global and Planetary Change top 2%
- Atmospheric Science top 2%
- Water Science and Technology top 10%
- Oceanography top 10%
- Molecular Biology
- Co-authors
- Izuru TakayabuAkihiko MurataKazuo KuriharaHideji KidaMasaru ChibaMasaya NosakaTakashi KoideHiroaki Kawase
- Topics
- Climate variability and models (59 papers)Meteorological Phenomena and Simulations (51 papers)Tropical and Extratropical Cyclones Research (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Geophysical Research AtmospheresThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hidetaka Sasaki
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 124
- Global and Planetary Change 1.1k
- Atmospheric Science 1.1k
- Water Science and Technology 117
- Oceanography 101
- Molecular Biology 97
Countries citing papers authored by Hidetaka Sasaki
This map shows the geographic impact of Hidetaka Sasaki'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 Hidetaka Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetaka Sasaki more than expected).
Fields of papers citing papers by Hidetaka Sasaki
This network shows the impact of papers produced by Hidetaka Sasaki. 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 Hidetaka Sasaki. The network helps show where Hidetaka Sasaki may publish in the future.
Co-authorship network of co-authors of Hidetaka Sasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Sasaki. A scholar is included among the top collaborators of Hidetaka Sasaki 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 Hidetaka Sasaki. Hidetaka Sasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 12 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 3 | |
| 12 | 26 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 99 | |
| 16 | 21 | |
| 17 | Numerical Simulation of Mesoscale Circulations in the Tarim Basin Associated with Dust Events( ADEC-Aeolian Dust Experiment on Climate Impact-) | 3 |
| 18 | 8 | |
| 19 | ACCURACY OF TRAJECTORY CALCULATIONS FOR LARGE-SCALE AIR POLLUTION IN EAST ASIA | 2 |
| 20 | 45 |
About Hidetaka Sasaki
Hidetaka Sasaki is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Climate variability and models (59 papers), Meteorological Phenomena and Simulations (51 papers) and Tropical and Extratropical Cyclones Research (20 papers). The work is most often cited by research in Atmospheric Science (1.1k citations), Global and Planetary Change (1.1k citations) and Pharmacology (88 citations). Hidetaka Sasaki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Izuru Takayabu, Akihiko Murata, Kazuo Kurihara, Hideji Kida, Masaru Chiba, Masaya Nosaka, Takashi Koide, Hiroaki Kawase, Fujio Suzuki and Richard B. Pollard. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Journal of Clinical Endocrinology & Metabolism.
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.