Shoko Nakasone

908 citations
11 papers · 692 indexed · 1 hit paper · h-index 8
Topics
Lung Cancer Treatments and Mutations (4 papers)Medical Imaging and Pathology Studies (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
Japan

In The Last Decade

Shoko Nakasone

9 papers receiving 685 citations

Hit Papers

Three SnRK2 Protein Kinases are the Main Positive Regulat...20092026201420202009100200300400500

Peers

Shoko Nakasone
Comparison fields: 5 of 54
  • Plant Science 546
  • Molecular Biology 255
  • Pulmonary and Respiratory Medicine 97
  • Radiology, Nuclear Medicine and Imaging 42
  • Oncology 35
Replace Marcel Lafos with:
Marcel Lafos Germany
Fengtong Li China
Tomoko Kaneyasu Japan
Ruoyi Lin China
Jihyun Choi United States
Anna Nowicka Poland
Hongyang Yu China
Zhengzheng Su China
Tomomi Yamada Japan
H. Bouman Netherlands
Shoko Nakasone relative to Marcel Lafos Germany Marcel Lafos's profile →
Citations per field
00.5×1.5×
Marcel Lafos · 1×
Citations per year

Countries citing papers authored by Shoko Nakasone

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Nakasone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Nakasone

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 3
3 8
4 8
5 48
6 15
7 0
8 7
9 15
10 16
11
Three SnRK2 Protein Kinases are the Main Positive Regulators of Abscisic Acid Signaling in Response to Water Stress in Arabidopsisbreakdown →
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About Shoko Nakasone

Shoko Nakasone is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Dermatology, having authored 11 papers that have together received 692 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Medical Imaging and Pathology Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Plant Science (546 citations), Microbiology (3 citations) and Molecular Biology (255 citations). Shoko Nakasone has collaborated with scholars based in Japan. Frequent co-authors include Kanako Ishiyama, Takuya Ito, Miki Fujita, Kohji Yamada, Norihito Kanamori, Kazuko Yamaguchi‐Shinozaki, Taishi Umezawa, Kyonoshin Maruyama, Masatomo Kobayashi and Satoshi Kidokoro. Their work appears in journals such as Plant and Cell Physiology, Journal of Thoracic Oncology and Lung Cancer.

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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