Masato Kuramata

2.5k citations
31 papers · 2.0k indexed · 2 hit papers · h-index 22

Masato Kuramata

31 papers receiving 1.9k citations

Hit Papers

Ion-beam irradiation, gene identification, and marker-ass...4012009202620142020100200300400500

Peers

Masato Kuramata
Comparison fields: 5 of 86
  • Pollution 844
  • Plant Science 1.4k
  • Environmental Chemistry 318
  • Health, Toxicology and Mutagenesis 259
  • Analytical Chemistry 166
Replace Sanghamitra Samantaray with:
Sanghamitra Samantaray India
Mi Ma China
Fangbin Cao China
Shuvasish Choudhury India
Mercè Llugany Spain
Wusheng Jiang China
David G. Mendoza‐Cózatl United States
Manju Shri India
Andres Schützendübel Germany
María Daniela Groppa Argentina
Masato Kuramata relative to Sanghamitra Samantaray India Sanghamitra Samantaray's profile →
Citations per field
00.5×5.5×
Sanghamitra Samantaray · 1×
Citations per year

Countries citing papers authored by Masato Kuramata

Since Specialization
Citations

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

Fields of papers citing papers by Masato Kuramata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masato Kuramata, 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 Masato Kuramata Line = papers co-authored together Masato Kuramata links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202221
3 20215
4 202013
5 201941
6 201723
7 201714
8 201624
9 201626
10 201353
11 201359
12 201344
13 20135
14
Ion-beam irradiation, gene identification, and marker-assisted breeding in the development of low-cadmium ricebreakdown →
2012401
15 201175
16 2009114
17
Root-to-shoot Cd translocation via the xylem is the major process determining shoot and grain cadmium accumulation in ricebreakdown →
2009555
18 200827
19 200876
20 200728

About Masato Kuramata

Masato Kuramata is a scholar working on Environmental Chemistry, Pollution and Plant Science, having authored 31 papers that have together received 2.0k indexed citations. Recurring topics across this work include Aluminum toxicity and tolerance in plants and animals (12 papers), Arsenic contamination and mitigation (9 papers), Plant Stress Responses and Tolerance (8 papers), Heavy metals in environment (7 papers), Plant Micronutrient Interactions and Effects (6 papers), GABA and Rice Research (6 papers), Rice Cultivation and Yield Improvement (4 papers) and Plant nutrient uptake and metabolism (3 papers). The work is most often cited by research in Pollution (844 citations), Plant Science (1.4k citations) and Environmental Chemistry (318 citations). Masato Kuramata has collaborated with scholars based in Japan, Egypt and Argentina. Frequent co-authors include Satoru Ishikawa, Tomohito Arao, Tadashi Abe, Akira Kawasaki, Shimpei Uraguchi, Shinsuke Mori, Masato Igura, Yoshihiro Hase, Naoko K. Nishizawa and Hiromi Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY 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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