Akiko Sankoda

597 total citations
23 papers, 414 citations indexed

About

Akiko Sankoda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Akiko Sankoda has authored 23 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Akiko Sankoda's work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers) and Thyroid Disorders and Treatments (7 papers). Akiko Sankoda is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers) and Thyroid Disorders and Treatments (7 papers). Akiko Sankoda collaborates with scholars based in Japan and Canada. Akiko Sankoda's co-authors include Nobuya Inagaki, Norio Harada, Shunsuke Yamane, Kanako Iwasaki, Erina Joo, Kazuyo Suzuki, Yuki Murata, Kimitaka Shibue, Takanari Harada and Y. Ide and has published in prestigious journals such as Diabetes, Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Akiko Sankoda

19 papers receiving 408 citations

Peers

Akiko Sankoda
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 171
  • Molecular Biology 114
  • Surgery 103
  • Physiology 92
  • Radiology, Nuclear Medicine and Imaging 79
Replace Luigi Sposato with:
Luigi Sposato Australia
Uwe Primeßnig Germany
Daniel Sherbet United States
Steven P. Moberly United States
Tsutomu Iwasaki Japan
M. Shintani Japan
U Keller Germany
Thomas Mouillot France
Alice Kuster France
Eitetsu Ko United States
Luigi Sposato Australia View profile →
Citations per field, relative to Akiko Sankoda
Akiko Sankoda · 1×
Citations per year, relative to Akiko Sankoda
Akiko Sankoda · 1×

Countries citing papers authored by Akiko Sankoda

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Sankoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Sankoda

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Sankoda. A scholar is included among the top collaborators of Akiko Sankoda 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 Akiko Sankoda. Akiko Sankoda 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 0
2 0
3 7
4 1
5 0
6 8
7 4
8 2
9 2
10 16
11 1
12 8
13 24
14 18
15 12
16 22
17 54
18 76
19 1
20 110

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026