Masa Kageyama
- Atmospheric Science top 0.1%
- Global and Planetary Change top 0.5%
- Ecology top 1%
- Anthropology top 0.2%
- Earth-Surface Processes top 0.5%
- Co-authors
- Gilles RamsteinPascale BraconnotAyako Abe‐OuchiSandy P. HarrisonPaul J. ValdesValérie Masson‐DelmottePatrick J. BartleinYan Zhao
- Topics
- Geology and Paleoclimatology Research (144 papers)Climate variability and models (53 papers)Cryospheric studies and observations (47 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Masa Kageyama
166 papers receiving 8.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Atmospheric Science 7.2k
- Global and Planetary Change 3.2k
- Ecology 1.5k
- Anthropology 1.4k
- Earth-Surface Processes 1.2k
Countries citing papers authored by Masa Kageyama
This map shows the geographic impact of Masa Kageyama'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 Masa Kageyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masa Kageyama more than expected).
Fields of papers citing papers by Masa Kageyama
This network shows the impact of papers produced by Masa Kageyama. 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 Masa Kageyama. The network helps show where Masa Kageyama may publish in the future.
Co-authorship network of co-authors of Masa Kageyama
This figure shows the co-authorship network connecting the top 25 collaborators of Masa Kageyama. A scholar is included among the top collaborators of Masa Kageyama 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 Masa Kageyama. Masa Kageyama 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 | 6 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 56 | |
| 9 | 39 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 40 | |
| 13 | 50 | |
| 14 | 37 | |
| 15 | 168 | |
| 16 | 157 | |
| 17 | 21 | |
| 18 | 9 | |
| 19 | North-Atlantic millennial-timescale variability imprint on Western European loess deposits: a modeling study | 2 |
| 20 | The Last Glacial Maximum climate over Europe: high resolution simulations. | 0 |
About Masa Kageyama
Masa Kageyama is a scholar working on Atmospheric Science, Earth-Surface Processes and Global and Planetary Change, having authored 170 papers that have together received 8.9k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (144 papers), Climate variability and models (53 papers) and Cryospheric studies and observations (47 papers). The work is most often cited by research in Atmospheric Science (7.2k citations), Earth-Surface Processes (1.2k citations) and Paleontology (1.2k citations). Masa Kageyama has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Gilles Ramstein, Pascale Braconnot, Ayako Abe‐Ouchi, Sandy P. Harrison, Paul J. Valdes, Valérie Masson‐Delmotte, Patrick J. Bartlein, Yan Zhao, Signe Normand and Jens‐Christian Svenning. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.