Atsuhiro Iio

810 total citations
28 papers, 655 citations indexed

About

Atsuhiro Iio is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Atsuhiro Iio has authored 28 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Ecology, 16 papers in Global and Planetary Change and 15 papers in Plant Science. Recurrent topics in Atsuhiro Iio's work include Plant Water Relations and Carbon Dynamics (14 papers), Remote Sensing in Agriculture (11 papers) and Plant responses to elevated CO2 (7 papers). Atsuhiro Iio is often cited by papers focused on Plant Water Relations and Carbon Dynamics (14 papers), Remote Sensing in Agriculture (11 papers) and Plant responses to elevated CO2 (7 papers). Atsuhiro Iio collaborates with scholars based in Japan, Netherlands and Indonesia. Atsuhiro Iio's co-authors include Yoshitaka Kakubari, Quan Wang, Kouki Hikosaka, Niels P. R. Anten, Akihiko Ito, Daisuke Kabeya, John Tenhunen, Yi Gan, Hiromi Mizunaga and Yoshitsugu Nose and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Oecologia.

In The Last Decade

Atsuhiro Iio

27 papers receiving 644 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Atsuhiro Iio Japan 16 368 355 296 183 95 28 655
Zalika Črepinšek Slovenia 14 285 0.8× 232 0.7× 157 0.5× 115 0.6× 67 0.7× 42 678
Joshua Mantooth United States 4 689 1.9× 377 1.1× 251 0.8× 367 2.0× 70 0.7× 4 975
Michèle R. Slaton United States 11 263 0.7× 271 0.8× 382 1.3× 141 0.8× 64 0.7× 23 697
Sofia Cerasoli Portugal 14 386 1.0× 271 0.8× 204 0.7× 135 0.7× 112 1.2× 19 598
Loren P. Albert United States 14 403 1.1× 323 0.9× 347 1.2× 202 1.1× 66 0.7× 25 836
Björn Reu Germany 16 288 0.8× 113 0.3× 234 0.8× 376 2.1× 83 0.9× 26 725
Reiji Yoneda Japan 14 296 0.8× 206 0.6× 150 0.5× 320 1.7× 62 0.7× 31 617
Morgan E. Furze United States 9 664 1.8× 418 1.2× 221 0.7× 338 1.8× 38 0.4× 15 960
M. Méthy France 10 271 0.7× 353 1.0× 235 0.8× 91 0.5× 53 0.6× 25 542
Dylan N. Dillaway United States 9 246 0.7× 268 0.8× 225 0.8× 118 0.6× 27 0.3× 14 474

Countries citing papers authored by Atsuhiro Iio

Since Specialization
Citations

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

Fields of papers citing papers by Atsuhiro Iio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuhiro Iio

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

All Works

20 of 20 papers shown
2.
Goto, Susumu, Nobuhiro Tomaru, Kosuke Homma, et al.. (2023). Divergent mechanisms of reduced growth performance in Betula ermanii saplings from high-altitude and low-latitude range edges. Heredity. 131(5-6). 387–397. 2 indexed citations
3.
Goto, Susumu, Haruhiko Taneda, Nobuhiro Tomaru, et al.. (2023). Climate-related variation in leaf size and phenology of Betula ermanii in multiple common gardens. Journal of Forest Research. 29(1). 62–71. 1 indexed citations
5.
Gan, Yi, Quan Wang, Takeshi Matsuzawa, Guangman Song, & Atsuhiro Iio. (2023). Multivariate regressions coupling colorimetric and textural features derived from UAV-based RGB images can trace spatiotemporal variations of LAI well in a deciduous forest. International Journal of Remote Sensing. 44(15). 4559–4577. 7 indexed citations
6.
Iio, Atsuhiro, et al.. (2022). Drone-Sensed and Sap Flux-Derived Leaf Phenology in a Cool Temperate Deciduous Forest: A Tree-Level Comparison of 17 Species. Remote Sensing. 14(10). 2505–2505. 4 indexed citations
8.
Chen, Shufen, Yoshihiko Tsumura, Nobuhiro Tomaru, et al.. (2021). Determination of intraspecific variation in seed weight, leaf functional traits, and sapling size of Betula ermanii using a common garden experiment. Journal of Forest Research. 26(6). 419–426. 3 indexed citations
9.
Iio, Atsuhiro, et al.. (2021). Photoinhibition and pigment composition in relation to needle reddening in sun-exposed Cryptomeria japonica at different altitudes in winter. Journal of Forest Research. 27(2). 148–157. 1 indexed citations
11.
Kabeya, Daisuke, Atsuhiro Iio, Yoshitaka Kakubari, & Qingmin Han. (2021). Dynamics of non-structural carbohydrates following a full masting event reveal a role for stored starch in relation to reproduction in <i>Fagus crenata</i>. SHILAP Revista de lepidopterología. 1(1). 1–10. 4 indexed citations
12.
Hikosaka, Kouki, Niels P. R. Anten, Almaz Borjigidai, et al.. (2016). A meta-analysis of leaf nitrogen distribution within plant canopies. Annals of Botany. 118(2). 239–247. 75 indexed citations
13.
Tomimatsu, Hiroshi, Atsuhiro Iio, M. Adachi, et al.. (2014). High CO2 concentration increases relative leaf carbon gain under dynamic light in Dipterocarpus sublamellatus seedlings in a tropical rain forest, Malaysia. Tree Physiology. 34(9). 944–954. 19 indexed citations
14.
Han, Qingmin, Daisuke Kabeya, Atsuhiro Iio, Yoshiyuki Inagaki, & Yoshitaka Kakubari. (2013). Nitrogen storage dynamics are affected by masting events in Fagus crenata. Oecologia. 174(3). 679–687. 50 indexed citations
15.
Iio, Atsuhiro, et al.. (2013). Global dependence of field‐observed leaf area index in woody species on climate: a systematic review. Global Ecology and Biogeography. 23(3). 274–285. 93 indexed citations
16.
Negi, Juntaro, Atsuhiro Iio, Kensuke Kusumi, et al.. (2011). Environmental regulation of stomatal response in the Arabidopsis Cvi-0 ecotype. Planta. 234(3). 555–563. 25 indexed citations
17.
Wang, Quan, Atsuhiro Iio, John Tenhunen, & Yoshitaka Kakubari. (2008). Annual and seasonal variations in photosynthetic capacity of Fagus crenata along an elevation gradient in the Naeba Mountains, Japan. Tree Physiology. 28(2). 277–285. 66 indexed citations
18.
Iio, Atsuhiro, Atsushi Yokoyama, Makoto Takano, et al.. (2008). Interannual variation in leaf photosynthetic capacity during summer in relation to nitrogen, leaf mass per area and climate within a Fagus crenata crown on Naeba Mountain, Japan. Tree Physiology. 28(9). 1421–1429. 15 indexed citations
19.
Kabeya, Daisuke, et al.. (2008). Masting in Fagus crenata and its influence on the nitrogen content and dry mass of winter buds. Tree Physiology. 28(8). 1269–1276. 48 indexed citations
20.
Iio, Atsuhiro, Hideo Fukasawa, Yoshitsugu Nose, Shogo Kato, & Yoshitaka Kakubari. (2005). Vertical, horizontal and azimuthal variations in leaf photosynthetic characteristics within a Fagus crenata crown in relation to light acclimation. Tree Physiology. 25(5). 533–544. 47 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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