Meiji Honda
- Atmospheric Science top 1%
- Arctic and Antarctic ice dynamics 23
- Meteorological Phenomena and Simulations 13
- Tropical and Extratropical Cyclones Research 4
- Climate change and permafrost 3
- Global and Planetary Change top 1%
- Climate variability and models 32
- Oceanography top 2%
- Oceanographic and Atmospheric Processes 20
- Marine and coastal ecosystems 4
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- Methane Hydrates and Related Phenomena 3
- Co-authors
- Shozo YamaneJun InoueHisashi NakamuraJinro UkitaKoji YamazakiKensuke TakeuchiYoshihiro TachibanaTetsu Nakamura
- Journals
- SHILAP Revista de lepidopterología (1 paper)Langmuir (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Meiji Honda
40 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Atmospheric Science 1.8k
- Global and Planetary Change 1.7k
- Oceanography 549
- Environmental Chemistry 42
- Geology 11
Countries citing papers authored by Meiji Honda
This map shows the geographic impact of Meiji Honda'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 Meiji Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiji Honda more than expected).
Fields of papers citing papers by Meiji Honda
This network shows the impact of papers produced by Meiji Honda. 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 Meiji Honda. The network helps show where Meiji Honda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meiji Honda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2019 | 37 | |
| 4 | 2018 | 13 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 12 | |
| 7 | 2015 | 21 | |
| 8 | A negative phase shift of winter AO/NAO due to the recent Arctic sea ice reduction in late autumn | 2014 | 1 |
| 9 | 2011 | 37 | |
| 10 | 2008 | 14 | |
| 11 | 2007 | 9 | |
| 12 | 2006 | 10 | |
| 13 | 2003 | 13 | |
| 14 | 2002 | 24 | |
| 15 | 2001 | 10 | |
| 16 | 2001 | 7 | |
| 17 | Observed and Simulated Seesaw Between Aleutian and Icelandic Lows and its Interdecadal Modulation | 2001 | 0 |
| 18 | 1996 | 61 | |
| 19 | 1994 | 1 | |
| 20 | THE INFLUENCES OF THE SEA ICE AND THE WIND FIELD ON THE WINTER AIR TEMPERATURE VARIATION IN HOKKAIDO | 1994 | 6 |
About Meiji Honda
Meiji Honda is a scholar working on Atmospheric Science, Oceanography and Global and Planetary Change, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Climate variability and models (32 papers), Arctic and Antarctic ice dynamics (23 papers), Oceanographic and Atmospheric Processes (20 papers), Meteorological Phenomena and Simulations (13 papers), Tropical and Extratropical Cyclones Research (4 papers), Marine and coastal ecosystems (4 papers), Climate change and permafrost (3 papers) and Methane Hydrates and Related Phenomena (3 papers). The work is most often cited by research in Atmospheric Science (1.8k citations), Global and Planetary Change (1.7k citations) and Oceanography (549 citations). Meiji Honda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shozo Yamane, Jun Inoue, Hisashi Nakamura, Jinro Ukita, Koji Yamazaki, Kensuke Takeuchi, Yoshihiro Tachibana, Tetsu Nakamura, Katsushi Iwamoto and Yasunobu Miyoshi. Their work appears in journals such as SHILAP Revista de lepidopterología, Langmuir and Scientific Reports.
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.