Yasushi Mitsuda

669 total citations
53 papers, 513 citations indexed

About

Yasushi Mitsuda is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Yasushi Mitsuda has authored 53 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nature and Landscape Conservation, 20 papers in Global and Planetary Change and 14 papers in Environmental Engineering. Recurrent topics in Yasushi Mitsuda's work include Forest ecology and management (29 papers), Remote Sensing and LiDAR Applications (13 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Yasushi Mitsuda is often cited by papers focused on Forest ecology and management (29 papers), Remote Sensing and LiDAR Applications (13 papers) and Ecology and Vegetation Dynamics Studies (9 papers). Yasushi Mitsuda collaborates with scholars based in Japan, Indonesia and United Kingdom. Yasushi Mitsuda's co-authors include Satoshi Ito, Yuichi Yamaura, Shigejiro Yoshida, Toru Koizumi, Kimiko Okabe, Tatsuya Amano, Hisatomo Taki, Fumiaki Kitahara, G. P. Buckley and Tomohiro Nishizono and has published in prestigious journals such as Conservation Biology, Journal of Applied Ecology and Forest Ecology and Management.

In The Last Decade

Yasushi Mitsuda

48 papers receiving 487 citations

Peers

Yasushi Mitsuda

NLC

GPC

ECOLO

Eddie Bevilacqua United States

Matheus Henrique Nunes United Kingdom

Masahiro Aiba Japan

Flavio Moreno Colombia

Alessandro Vitali Italy

Thomas J. Brandeis United States

Metsäntutkimuslaitos

Gintautas Mozgeris Lithuania

Elisabeth Pötzelsberger Austria

Volker Mues Germany

Eddie Bevilacqua United States

Yasushi Mitsuda

289 ×1.2

NLC

448 ×1.8

GPC

106 ×0.8

ECOLO

94 ×1.0

111 ×1.3

Citations per year, relative to Yasushi Mitsuda Yasushi Mitsuda (= 1×) peers Eddie Bevilacqua

Countries citing papers authored by Yasushi Mitsuda

Since Specialization

Citations

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

Fields of papers citing papers by Yasushi Mitsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Mitsuda

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

All Works

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20 of 20 papers shown

Mitsuda, Yasushi, et al.. (2025). Mapping Surface Potential in DNA Aptamer–Neurochemical and Membrane–Ion Interactions on the SOS Substrate Using Terahertz Microscopy. Biosensors. 15(1). 46–46.

Ito, Satoshi, et al.. (2022). Productivity of Eugenol from Clove (Syzygium aromaticum L.) Under Different Light and Soil Water Conditions. AGRIVITA Journal of Agricultural Science. 44(1). 96–104. 1 indexed citations

Mitsuda, Yasushi, et al.. (2021). A report of evaluation about position accuracy of ortho photos derived from SfM using UAV aerial photos - A case of a sugi plantation stand in the Tano forest science station of University of Miyazaki. 26(1). 9–13.

Yamaura, Yuichi, et al.. (2019). A spatially-explicit empirical model for assessing conservation values of conifer plantations. Forest Ecology and Management. 444. 393–404. 14 indexed citations

Mitsuda, Yasushi & Satoshi Ito. (2015). Modifying the site index model of sugi planted forests in Miyazaki Prefecture considering the effects of DEM quality and scale of digital terrain analysis. Journal of Forest Planning. 20(2). 45–51. 4 indexed citations

Ito, Satoshi, et al.. (2014). Growth recovery of young hinoki (Chamaecyparis obtusa) subsequent to late weeding. Journal of Forest Research. 19(6). 514–522. 9 indexed citations

Ito, Satoshi, et al.. (2013). Mapping the restoration priority of warm-temperate mountainous riparian forests based on Ulmus davidiana var. japonica and Quercus hondae distribution. 18(2). 149–157. 2 indexed citations

Mitsuda, Yasushi, et al.. (2013). Developing a National-level System for Simulating the Carbon Dynamics of Hinoki (Chamaecyparis obtusa ) Planted Forests in Japan(<Special Issue>FORCOM 2011). Journal of Forest Planning. 18(2). 105–110. 2 indexed citations

Nishizono, Tomohiro, et al.. (2013). Geographical variation in age-height relationships for dominant trees in Japanese cedar (Cryptomeria japonica D. Don) forests in Japan. Journal of Forest Research. 19(3). 305–316. 25 indexed citations

10.

Ito, Satoshi & Yasushi Mitsuda. (2012). Occurrence probability of Quercus hondae, an endangered species in understory of sugi plantations in southern Kyushu. 17(1). 1–5.

11.

Mitsuda, Yasushi, et al.. (2011). Preliminary Analysis on the Use of a Process-Based Forest Growth Model of Cryptomeria japonica Planted Forest to Represent the Eﬀects of Canopy Structure Change. 10(0). 169–193. 2 indexed citations

12.

Mitsuda, Yasushi & Satoshi Ito. (2010). A review of spatial-explicit factors determining spatial distribution of land use/land-use change. Landscape and Ecological Engineering. 7(1). 117–125. 84 indexed citations

13.

Mitsuda, Yasushi & Shigejiro Yoshida. (2008). Tests of Distance-Dependent Competition Indices for Predicting Growth of Japanese Larch Trees. 7(0). 25–37. 2 indexed citations

14.

Inoue, Takafumi, et al.. (2007). The Relationship between Bark-stripping Damage to Forest Trees Caused by Sika Deer (Cervus nippon) and Understory Vegetation.. Journal of the Japanese Forest Society. 89(3). 208–216. 1 indexed citations

15.

Mitsuda, Yasushi, et al.. (2007). Predicting the site index of sugi plantations from GIS-derived environmental factors in Miyazaki Prefecture. Journal of Forest Research. 12(3). 177–186. 37 indexed citations

16.

Murakami, Takayuki, et al.. (2005). Characteristic of Temporal Range Shifts of Bamboo Stands according to Adjacent Landcover Type.. Journal of the Japanese Forest Society. 87(5). 402–409. 30 indexed citations

17.

Ito, Satoshi, et al.. (2005). Site selection for the cattle-grazing forestry system based on topographic analysis using 50 m resolution DEM. 10(1). 37–44. 1 indexed citations

18.

Inoue, Takafumi, et al.. (2005). Prediction Model of the Occurrence Probability of Bark-stripping by Sika Deer (Cervus nippon) in Plantation Forests in Kumamoto Prefecture.. Journal of the Japanese Forest Society. 87(2). 111–116. 2 indexed citations

19.

Mitsuda, Yasushi, Satoshi Ito, & K. Takata. (2002). Effects of Competitive and Cooperative Interaction among Neighboring Trees on Tree Growth in a Naturally Regenerated Even-agedLarix sibiricaStand in Considering Height Stratification. Journal of Forest Research. 7(4). 185–191. 11 indexed citations

20.

Mitsuda, Yasushi, et al.. (2001). Use of GIS-derived Environmental Factors in Predicting Site Indices in Japanese Larch Plantations in Hokkaido. Journal of Forest Research. 6(2). 87–93. 39 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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