Noriko Kanno

2.6k total citations · 1 hit paper
24 papers, 1.6k citations indexed

About

Noriko Kanno is a scholar working on Pulmonary and Respiratory Medicine, Plant Science and Genetics. According to data from OpenAlex, Noriko Kanno has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 10 papers in Plant Science and 9 papers in Genetics. Recurrent topics in Noriko Kanno's work include Genetic Mapping and Diversity in Plants and Animals (9 papers), Respiratory and Cough-Related Research (8 papers) and Asthma and respiratory diseases (8 papers). Noriko Kanno is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (9 papers), Respiratory and Cough-Related Research (8 papers) and Asthma and respiratory diseases (8 papers). Noriko Kanno collaborates with scholars based in Japan and Colombia. Noriko Kanno's co-authors include Yusaku Uga, Yuka Kitomi, Jian Wu, Haruhiko Inoue, Kazuhiko Sugimoto, Naho Hara, Masahiro Yano, Satoshi Ogawa, Toshiyuki Takai and Kazutoshi Okuno and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Noriko Kanno

21 papers receiving 1.6k citations

Hit Papers

Control of root system architecture by DEEPER ROOTING 1 i... 2013 2026 2017 2021 2013 250 500 750 1000

Peers

Noriko Kanno
Comparison fields: 5 of 75
  • Plant Science 1.5k
  • Genetics 322
  • Molecular Biology 222
  • Agronomy and Crop Science 135
  • Soil Science 76
Replace Yuka Kitomi with:
Yuka Kitomi Japan
Sarah Ayling United Kingdom
Kazuyuki Doi Japan
R. Lafitte Philippines
Chris Zinselmeier United States
Tanveer Khan Australia
Nobuya Kobayashi Japan
Cheryl Dalid United States
Hideki Takanashi Japan
Zahida H. Pervaiz United States
Yuka Kitomi Japan View profile →
Citations per field, relative to Noriko Kanno
Noriko Kanno · 1×
Citations per year, relative to Noriko Kanno
Noriko Kanno · 1×

Countries citing papers authored by Noriko Kanno

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Kanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Kanno

This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Kanno. A scholar is included among the top collaborators of Noriko Kanno 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 Noriko Kanno. Noriko Kanno 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 5
2 162
3 27
4 2
5 9
6 24
7 2
8 6
9 10
10 67
11 70
12 2
13
Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions breakdown →
1078
14 66
15 7
16 5
17
1
18
0
19 6
20 4

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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