Jun Furuya

936 total citations
63 papers, 624 citations indexed

About

Jun Furuya is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science and Algebra and Number Theory. According to data from OpenAlex, Jun Furuya has authored 63 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, Evolution, Behavior and Systematics, 21 papers in Soil Science and 15 papers in Algebra and Number Theory. Recurrent topics in Jun Furuya's work include Climate change impacts on agriculture (21 papers), Agricultural risk and resilience (21 papers) and Analytic Number Theory Research (15 papers). Jun Furuya is often cited by papers focused on Climate change impacts on agriculture (21 papers), Agricultural risk and resilience (21 papers) and Analytic Number Theory Research (15 papers). Jun Furuya collaborates with scholars based in Japan, China and Bangladesh. Jun Furuya's co-authors include Shintaro Kobayashi, Toshichika Iizumi, Motoki Nishimori, Yasushi Ishigooka, Masashi Okada, Tomoko Hasegawa, Shinichiro Fujimori, Wonsik Kim, Osamu Koyama and Gen Sakurai and has published in prestigious journals such as Scientific Reports, Sustainability and Global Ecology and Biogeography.

In The Last Decade

Jun Furuya

54 papers receiving 590 citations

Peers

Jun Furuya
Comparison fields: 5 of 79
  • Ecology, Evolution, Behavior and Systematics 280
  • Plant Science 215
  • Soil Science 175
  • Global and Planetary Change 154
  • Ecology 70
Replace Naveen P. Singh with:
Naveen P. Singh India
Kelly J. Bryant United States
Jeff Andresen United States
B.F. Schaap Netherlands
Jarrod R. Welch United States
Tom Osborne United Kingdom
Benjamin Kipkemboi Kogo Australia
W. T. Bowen United States
Franziska Gaupp Austria
P. J. Dolling Australia
Naveen P. Singh India View profile →
Citations per field, relative to Jun Furuya
Jun Furuya · 1×
Citations per year, relative to Jun Furuya
Jun Furuya · 1×

Countries citing papers authored by Jun Furuya

Since Specialization
Citations

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

Fields of papers citing papers by Jun Furuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Furuya

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Furuya. A scholar is included among the top collaborators of Jun Furuya 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 Jun Furuya. Jun Furuya 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
# Work Indexed citations
1 3
2 5
3 137
4 3
5
On a Restricted Divisor Problem
0
6 2
7 3
8 12
9 2
10 8
11 1
12 5
13 5
14
Rice Miller Cluster in Ghana and Its Effects on Efficiency and Quality Improvement
1
15
Impacts of Water Supply Changes on the Rice Market of Lao PDR: Stochastic Analysis of Supply and Demand Model
3
16 0
17 9
18 28
19 1
20
'SUMMER BLACK' : A NEW SEEDLESS GRAPE
1

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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