Daisuke Kabeya

928 citations
34 papers · 663 · h-index 17

Impact in

Papers in

Daisuke Kabeya

30 papers receiving 648 citations

Peers

Daisuke Kabeya
Comparison fields: 5 of 57
  • Nature and Landscape Conservation 353
  • Global and Planetary Change 223
  • Ecology, Evolution, Behavior and Systematics 183
  • Ecology 232
  • Plant Science 257
Replace Qingmin Han with:
Qingmin Han Japan
Beatriz Pías Spain
Martin Svátek Czechia
Radim Matula Czechia
Tomasz P. Wyka Poland
Javier G. Puntieri Argentina
Christine J. Small United States
Bénédicte Bachelot United States
Julien Engel France
Alexandros Galanidis Greece
Daisuke Kabeya relative to Qingmin Han Japan Qingmin Han's profile →
Citations per field
00.5×1.5×
Qingmin Han · 1×
Citations per year

Countries citing papers authored by Daisuke Kabeya

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kabeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daisuke Kabeya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daisuke Kabeya Line = papers co-authored together Daisuke Kabeya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 200556
3 201350
4 200848
5 200341
6 200340
7 201738
8 200535
9 201733
10 201132
11 201525
12 201925
13 201623
14 201323
15
Altitudinal variation in lifetime growth trajectory and reproductive schedule of a sub-alpine conifer, Abies mariesii
200322
16 201520
17 201719
18 202014
19 201712
20 201011

About Daisuke Kabeya

Daisuke Kabeya is a scholar working on Nature and Landscape Conservation, Plant Science, Ecology, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics, having authored 34 papers that have together received 663 indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (11 papers), Ecology and Vegetation Dynamics Studies (11 papers), Plant Water Relations and Carbon Dynamics (6 papers), Plant responses to elevated CO2 (5 papers), Plant and animal studies (5 papers), Forest ecology and management (5 papers), Horticultural and Viticultural Research (4 papers) and Tree-ring climate responses (4 papers). The work is most often cited by research in Nature and Landscape Conservation (353 citations), Global and Planetary Change (223 citations), Ecology, Evolution, Behavior and Systematics (183 citations), Ecology (232 citations) and Plant Science (257 citations). Daisuke Kabeya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Qingmin Han, Satoki Sakai, Yoshiyuki Inagaki, Atsuhiro Iio, Yoshitaka Kakubari, Kiyoshi Matsui, Akiko Sakai, Toru Okamoto, Günter Hoch and Motohiro Hasegawa. Their work appears in journals such as Tree Physiology, Annals of Botany, Oecologia, Forest Ecology and Management and Scientific Reports.

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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