Aya Sakurai

1.4k total citations
13 papers, 1.1k citations indexed

About

Aya Sakurai is a scholar working on Plant Science, Surgery and Oncology. According to data from OpenAlex, Aya Sakurai has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Aya Sakurai's work include Food composition and properties (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Aya Sakurai is often cited by papers focused on Food composition and properties (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). Aya Sakurai collaborates with scholars based in Japan and China. Aya Sakurai's co-authors include Yasunori Nakamura, Yoshihiro Nambu, Hisao Tonami, Yoshimichi Ueda, Manabu Oguchi, Tsukasa Nagamine, Norio Iwasawa, Yoko Takemoto, Aiko Nishi and Yuko Hosaka and has published in prestigious journals such as PLANT PHYSIOLOGY, American Journal of Physiology-Cell Physiology and American Journal of Physiology-Renal Physiology.

In The Last Decade

Aya Sakurai

13 papers receiving 1.1k citations

Peers

Aya Sakurai
Comparison fields: 5 of 80
  • Nutrition and Dietetics 375
  • Pulmonary and Respiratory Medicine 306
  • Plant Science 273
  • Radiology, Nuclear Medicine and Imaging 252
  • Molecular Biology 159
Replace Curtis P. Sigdestad with:
Curtis P. Sigdestad United States
D. Włodek Poland
Jeffrey S. Iwig United States
Rong Yao China
Biserka Nagy United States
Zhigang Wei China
Rajeev Shrimali United States
Aiqin Gu China
Yuri Takeda Japan
J Freytag United States
Curtis P. Sigdestad United States View profile →
Citations per field, relative to Aya Sakurai
Aya Sakurai · 1×
Citations per year, relative to Aya Sakurai
Aya Sakurai · 1×

Countries citing papers authored by Aya Sakurai

Since Specialization
Citations

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

Fields of papers citing papers by Aya Sakurai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aya Sakurai

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Sakurai. A scholar is included among the top collaborators of Aya Sakurai 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 Aya Sakurai. Aya Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 7
2 12
3 23
4 43
5 84
6 15
7 221
8 182
9
Expression of multidrug resistance protein and messenger RNA correlate with (99m)Tc-MIBI imaging in patients with lung cancer.
41
10 179
11 99
12
FDG PET measurement of the proliferative potential of non-small cell lung cancer.
150
13
ビャクブ(Stemona japonica Miq.)生葉に含まれる新殺虫性アルカロイド,ステモスピロニン 単離,構造決定,殺虫性
67

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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