Mutsuyuki Ueta

59 total papers · 1.4k total citations
50 papers, 1.1k citations indexed

About

Mutsuyuki Ueta is a scholar working on Ecology, Nature and Landscape Conservation and Ecological Modeling. According to data from OpenAlex, Mutsuyuki Ueta has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Ecology, 12 papers in Nature and Landscape Conservation and 10 papers in Ecological Modeling. Recurrent topics in Mutsuyuki Ueta's work include Avian ecology and behavior (38 papers), Species Distribution and Climate Change (10 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Mutsuyuki Ueta is often cited by papers focused on Avian ecology and behavior (38 papers), Species Distribution and Climate Change (10 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Mutsuyuki Ueta collaborates with scholars based in Japan, Russia and United States. Mutsuyuki Ueta's co-authors include Hiroyoshi Higuchi, Nagahisa Mita, John L. Quinn, Kiyoaki Ozaki, Go Fujita, Naoki Katayama, Shoji Naoe, Takehisa Yamakita, Tadashi Miyashita and Tatsuya Amano and has published in prestigious journals such as PLoS ONE, Conservation Biology and Biological Conservation.

In The Last Decade

Mutsuyuki Ueta

47 papers receiving 983 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mutsuyuki Ueta 809 273 239 229 205 50 1.1k
Kathryn M. Irvine 739 0.9× 350 1.3× 328 1.4× 346 1.5× 253 1.2× 68 1.2k
Krishna Pacifici 829 1.0× 418 1.5× 141 0.6× 542 2.4× 188 0.9× 66 1.4k
Guy A. Baldassarre 1.3k 1.6× 414 1.5× 247 1.0× 166 0.7× 221 1.1× 62 1.5k
Richard F. Grimmett 798 1.0× 254 0.9× 306 1.3× 322 1.4× 173 0.8× 45 1.3k
Changqing Ding 589 0.7× 325 1.2× 260 1.1× 502 2.2× 136 0.7× 52 978
Kees Oosterbeek 1.0k 1.3× 213 0.8× 299 1.3× 277 1.2× 370 1.8× 38 1.2k
Eileen C. Rees 797 1.0× 257 0.9× 242 1.0× 197 0.9× 154 0.8× 60 967
David S. Gilmer 1.2k 1.5× 354 1.3× 184 0.8× 105 0.5× 209 1.0× 52 1.4k
James F. Saracco 1.1k 1.3× 452 1.7× 360 1.5× 510 2.2× 251 1.2× 54 1.5k
Jessie C. Buettel 631 0.8× 315 1.2× 177 0.7× 378 1.7× 378 1.8× 50 1.4k

Countries citing papers authored by Mutsuyuki Ueta

Since Specialization
Citations

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

Fields of papers citing papers by Mutsuyuki Ueta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutsuyuki Ueta

This figure shows the co-authorship network connecting the top 25 collaborators of Mutsuyuki Ueta. A scholar is included among the top collaborators of Mutsuyuki Ueta 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 Mutsuyuki Ueta. Mutsuyuki Ueta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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