Masako Aoki

450 citations
37 papers · 329 indexed · h-index 12
Topics
Diabetes Management and Research (11 papers)Pancreatic function and diabetes (11 papers)Diabetes and associated disorders (9 papers)
Partner nations
Japan

In The Last Decade

Masako Aoki

33 papers receiving 318 citations

Peers

Masako Aoki
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 134
  • Surgery 120
  • Genetics 105
  • Oncology 48
  • Rheumatology 41
Replace Can Hou with:
Can Hou China
Aimon K. Alkanani United States
Pierre Lefebvre Belgium
Süleyman Nahit Şendur Türkiye
Giacomo Mulinacci Italy
Martin J. Cummins United States
Ahmed Amer Germany
Takayasu Arima Japan
S. Dionisi Italy
Tanja Sofie Hansen Denmark
Masako Aoki relative to Can Hou China Can Hou's profile →
Citations per field
00.5×1.5×2.0×
Can Hou · 1×
Citations per year

Countries citing papers authored by Masako Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Masako Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Masako Aoki. A scholar is included among the top collaborators of Masako Aoki 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 Masako Aoki. Masako Aoki 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
#WorkIndexed citations
1 5
2 0
3 1
4 7
5 1
6 10
7 17
8 9
9 12
10 17
11 11
12 1
13
ABC classification of gastric cancer risk based on a new kit to detect serum Helicobacter pylori antibodies: Comparison with another antibody detection kit
6
14 3
15 50
16 1
17 8
18 24
19 1
20 1

About Masako Aoki

Masako Aoki is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 37 papers that have together received 329 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Pancreatic function and diabetes (11 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (134 citations), Genetics (105 citations) and Rheumatology (41 citations). Masako Aoki has collaborated with scholars based in Japan. Frequent co-authors include Tatsuhiko Urakami, Junichi Suzuki, Kei Yoshida, Remi Kuwabara, Ichiro Morioka, Yasutoshi Kimura, Ruby Pawankar, Seiji Kawana, Keiji Nakayama and Shinichi Nakamura. Their work appears in journals such as International Journal of Environmental Research and Public Health, Clinical & Experimental Allergy and Psychosomatics.

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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