Takeshi Senoura

4.0k citations
36 papers · 3.2k indexed · 4 hit papers · h-index 25

Takeshi Senoura

35 papers receiving 3.1k citations

Hit Papers

Ion-beam irradiation, gene identification, and marker-ass...4012011202620162021100200300400

Peers

Takeshi Senoura
Comparison fields: 5 of 80
  • Pollution 838
  • Plant Science 2.5k
  • Biotechnology 240
  • Nutrition and Dietetics 367
  • Geochemistry and Petrology 102
Replace M. Irfan Qureshi with:
M. Irfan Qureshi India
Yong Zhu China
Rizwan Rasheed Pakistan
Fangbin Cao China
G. S. Shekhawat India
Fuhua Wang China
Smita Kumar India
Ana Lima Portugal
Taufika Islam Anee Bangladesh
Chanakan Prom‐u‐thai Thailand
Takeshi Senoura relative to M. Irfan Qureshi India M. Irfan Qureshi's profile →
Citations per field
00.5×5.6×
M. Irfan Qureshi · 1×
Citations per year

Countries citing papers authored by Takeshi Senoura

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Senoura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 201532
3 201411
4 201462
5 201329
6 201335
7
Ion-beam irradiation, gene identification, and marker-assisted breeding in the development of low-cadmium ricebreakdown →
2012401
8
The OsHMA2 transporter is involved in root‐to‐shoot translocation of Zn and Cd in ricebreakdown →
2012496
9 201254
10
The OsNRAMP1 iron transporter is involved in Cd accumulation in ricebreakdown →
2011461
11 201138
12 201134
13 201174
14
Characterization of OsNramp1, a metal transporter from rice
20091
15 200951
16 200870
17 200847
18 200717
19 200728
20 200416

About Takeshi Senoura

Takeshi Senoura is a scholar working on Biotechnology, Nutrition and Dietetics and Plant Science, having authored 36 papers that have together received 3.2k indexed citations. Recurring topics across this work include Plant Micronutrient Interactions and Effects (18 papers), Plant Stress Responses and Tolerance (17 papers), Enzyme Production and Characterization (12 papers), Aluminum toxicity and tolerance in plants and animals (8 papers), Phytase and its Applications (7 papers), Food composition and properties (6 papers), Microbial Metabolites in Food Biotechnology (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Pollution (838 citations), Plant Science (2.5k citations) and Biotechnology (240 citations). Takeshi Senoura has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Naoko K. Nishizawa, Hiromi Nakanishi, Yasuhiro Ishimaru, Hugo Shimo, Ryuichi Takahashi, Satoru Ishikawa, Tomohito Arao, Takanori Kobayashi, Yuko Ogo and Reiko Nakanishi Itai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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