Asako Doi

78 papers receiving 1.6k citations

Peers

Asako Doi
Comparison fields: 5 of 127
  • Applied Microbiology and Biotechnology 59
  • Endocrine and Autonomic Systems 130
  • Endocrinology, Diabetes and Metabolism 268
  • Clinical Biochemistry 107
  • Molecular Medicine 78
Replace Sebastian Weis with:
Sebastian Weis Germany
Chris Van Geet Belgium
Kuang‐Yao Yang Taiwan
Pinhua Pan China
Ying Wen China
Wen Wang China
Nikolaos Drakoulis Greece
Shiva Gautam United States
Miguel Marcos Spain
Can Li China
Asako Doi relative to Sebastian Weis Germany Sebastian Weis's profile →
Citations per field
00.5×7.1×
Sebastian Weis · 1×
Citations per year

Countries citing papers authored by Asako Doi

Since Specialization
Citations

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

Fields of papers citing papers by Asako Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004181
2 2011136
3 2010135
4 2007115
5 201257
6 200655
7 201051
8 200750
9 202049
10 200548
11 201447
12 201343
13 200742
14 201637
15 199936
16 201129
17 202028
18 202127
19 201827
20 201626

About Asako Doi

Asako Doi is a scholar working on Microbiology, Applied Microbiology and Biotechnology, Clinical Biochemistry, Endocrine and Autonomic Systems and Infectious Diseases, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Regulation of Appetite and Obesity (8 papers), Diabetes and associated disorders (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Adipose Tissue and Metabolism (6 papers), COVID-19 Clinical Research Studies (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (59 citations), Endocrine and Autonomic Systems (130 citations), Endocrinology, Diabetes and Metabolism (268 citations), Clinical Biochemistry (107 citations) and Molecular Medicine (78 citations). Asako Doi has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hiroto Furuta, Masahiro Nishi, Kentaro Iwata, Kishio Nanjo, Hideyuki Sasaki, Toru Kamiya, Jeffrey L. Jackson, Akira Kuriyama, Goh Ohji and Takashi Akamizu. Their work appears in journals such as Journal of Diabetes Investigation, International Journal of Infectious Diseases, The Journal of Clinical Endocrinology & Metabolism, BMC Endocrine Disorders and Diabetes Research and Clinical Practice.

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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2026