Akihiro Sumida

1.6k total citations
55 papers, 1.3k citations indexed

About

Akihiro Sumida is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Plant Science. According to data from OpenAlex, Akihiro Sumida has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Nature and Landscape Conservation, 28 papers in Global and Planetary Change and 21 papers in Plant Science. Recurrent topics in Akihiro Sumida's work include Forest ecology and management (27 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Ecology and Vegetation Dynamics Studies (19 papers). Akihiro Sumida is often cited by papers focused on Forest ecology and management (27 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Ecology and Vegetation Dynamics Studies (19 papers). Akihiro Sumida collaborates with scholars based in Japan, United States and Russia. Akihiro Sumida's co-authors include Hiroki Itô, Yuji Isagi, Toshihiko Hara, Ken Sugimura, Shigeru Uemura, Yuji Kodama, Hideaki Shibata, T. Nakai, Shri Kant Tripathi and Lei Chen and has published in prestigious journals such as Journal of Neuroscience, Journal of Geophysical Research Atmospheres and Scientific Reports.

In The Last Decade

Akihiro Sumida

52 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akihiro Sumida Japan 21 639 541 362 347 224 55 1.3k
Vincent Badeau France 15 454 0.7× 486 0.9× 385 1.1× 316 0.9× 144 0.6× 34 1.3k
Tomoaki Ichie Japan 25 872 1.4× 762 1.4× 516 1.4× 416 1.2× 422 1.9× 68 1.6k
Sandra Patiño United Kingdom 12 770 1.2× 894 1.7× 401 1.1× 197 0.6× 181 0.8× 13 1.4k
Tanaka Kenzo Japan 24 974 1.5× 845 1.6× 502 1.4× 274 0.8× 320 1.4× 71 1.6k
Heike Culmsee Germany 20 660 1.0× 385 0.7× 330 0.9× 283 0.8× 368 1.6× 35 1.2k
Kaoru Niiyama Japan 18 814 1.3× 390 0.7× 281 0.8× 407 1.2× 384 1.7× 46 1.3k
Tapio Linkosalo Finland 25 388 0.6× 785 1.5× 428 1.2× 352 1.0× 307 1.4× 40 1.5k
G. Schiller Israel 21 756 1.2× 1.0k 1.9× 405 1.1× 366 1.1× 215 1.0× 59 1.7k
S. Patiño United Kingdom 17 709 1.1× 858 1.6× 456 1.3× 300 0.9× 298 1.3× 21 1.4k
Patrick H. Martin United States 21 1.1k 1.7× 641 1.2× 414 1.1× 430 1.2× 525 2.3× 48 1.6k

Countries citing papers authored by Akihiro Sumida

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Sumida

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Sumida. A scholar is included among the top collaborators of Akihiro Sumida 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 Akihiro Sumida. Akihiro Sumida 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
1.
Sumida, Akihiro, Yoshiyuki Inagaki, Takuya Kajimoto, et al.. (2023). Allometry of the quasi-pipe (qPipe) model for estimating tree leaf area and tree leaf mass applied to plant functional types. Scientific Reports. 13(1). 9954–9954. 1 indexed citations
2.
Sumida, Akihiro, et al.. (2018). Interannual variability of leaf area index of an evergreen conifer stand was affected by carry-over effects from recent climate conditions. Scientific Reports. 8(1). 13590–13590. 22 indexed citations
3.
Itô, Hiroki & Akihiro Sumida. (2016). Allometric and growth data of an evergreen oak, Quercus glauca , in a secondary broadleaved forest. Ecological Research. 32(2). 105–105. 2 indexed citations
5.
Suzuki, Kazuyoshi, Yuji Kodama, T. Nakai, et al.. (2011). Impact of land-use changes on snow in a forested region with heavy snowfall in Hokkaido, Japan. Hydrological Sciences Journal. 56(3). 443–467. 16 indexed citations
6.
McBride, Sean, Chang‐Hoon Choi, Brian P. Schoenfeld, et al.. (2010). Pharmacological and Genetic Reversal of Age-Dependent Cognitive Deficits Attributable to Decreased presenilin Function. Journal of Neuroscience. 30(28). 9510–9522. 29 indexed citations
7.
Takata, Kumiko, Naoyuki Nishimura, Naoko Miki, et al.. (2010). Simulating seasonal and inter‐annual variations in energy and carbon exchanges and forest dynamics using a process‐based atmosphere–vegetation dynamics model. Ecological Research. 26(1). 105–121. 8 indexed citations
8.
Choo, Yeon‐Sik, et al.. (2010). Photoprotective mechanisms in cold-acclimated and nonacclimated needles of Picea glehnii. Photosynthetica. 48(1). 110–116. 7 indexed citations
9.
Nakai, T., Akihiro Sumida, Yuji Kodama, & Toshihiko Hara. (2008). Another definition of forest canopy height. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
10.
Nakai, T., Akihiro Sumida, Kazuho Matsumoto, et al.. (2008). Aerodynamic Scaling for Estimating the Mean Height of Dense Canopies. Boundary-Layer Meteorology. 128(3). 423–443. 20 indexed citations
11.
Yokozawa, Masayuki, et al.. (2007). Simulating the carbon balance of a temperate larch forest under various meteorological conditions. Carbon Balance and Management. 2(1). 6–6. 5 indexed citations
12.
Kobayashi, Tsuyoshi, Naoko Miki, Kyoko Kato, et al.. (2006). Understory removal increases carbon gain and transpiration in the overstory of birch (Betula ermanii) stands in northern Hokkaido, Japan: trends in leaf, shoot and canopy. Medical Entomology and Zoology. 19–22. 4 indexed citations
13.
Tripathi, Shri Kant, Akihiro Sumida, Kiyomi Ono, et al.. (2005). The effects of understorey dwarf bamboo ( Sasa kurilensis ) removal on soil fertility in a Betula ermanii forest of northern Japan. Ecological Research. 21(2). 315–320. 30 indexed citations
14.
Sumida, Akihiro. (2002). Spatial Arrangement of Branches in Relation to Slope and Neighbourhood Competition. Annals of Botany. 89(3). 301–310. 32 indexed citations
15.
Sumida, Akihiro, Hiroki Itô, & Yuji Isagi. (1997). Trade‐off between height growth and stem diameter growth for an evergreen Oak, Quercus glauca, in a mixed hardwood forest. Functional Ecology. 11(3). 300–309. 53 indexed citations
16.
Sumida, Akihiro, et al.. (1997). The Crown Shape of an Evergreen Oak, Quercus glauca,. 1 indexed citations
17.
Sumida, Akihiro. (1996). Spatial structure of hardwood forest communities - individual-based approaches. Nihon Seitai Gakkaishi. 46(1). 31–44. 7 indexed citations
18.
Sumida, Akihiro. (1993). Growth of Tree Species in a Broadleaved Secondary Forest as Related to the Light Environments of Crowns. Journal of the Japanese Forest Society. 75(4). 278–286. 14 indexed citations
19.
Uchida, Hidenobu, Haruko Kuroiwa, Tetsuaki Osafune, et al.. (1992). Evidence for Preferential Digestion of Male-derived Chloroplast DNA in Young Zygotes of Chlamydomonas reinhardtii by Histochemical Immunogold Electron Microscopy.. CYTOLOGIA. 57(4). 463–470. 5 indexed citations
20.
NAKAGAWA, Y., et al.. (1966). Studies on the Climatically Favorable Place for Fruit Culture (4). Journal of Agricultural Meteorology. 21(4). 131–136. 1 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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