Toshika Otani

636 citations
20 papers · 469 indexed · h-index 10
Topics
Diabetes Treatment and Management (9 papers)Diabetes Management and Research (9 papers)Diabetes and associated disorders (8 papers)
Partner nations
JapanPakistanDenmark

In The Last Decade

Toshika Otani

19 papers receiving 441 citations

Peers

Toshika Otani
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 307
  • Genetics 166
  • Surgery 110
  • Nephrology 106
  • Cardiology and Cardiovascular Medicine 52
Replace Maki Okudaira with:
Maki Okudaira Japan
Hiroko Takaike Japan
R.N. Dalton United Kingdom
Hans‐Peter Kempe Germany
Toshiko Takao Japan
J J Bending United Kingdom
Coimbatore Subramaniam Shanthirani India
K. N�rgaard Denmark
Minerva Granado-Casas Spain
Gc Viberti United Kingdom
Toshika Otani relative to Maki Okudaira Japan Maki Okudaira's profile →
Citations per field
00.5×1.5×2.1×
Maki Okudaira · 1×
Citations per year

Countries citing papers authored by Toshika Otani

Since Specialization
Citations

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

Fields of papers citing papers by Toshika Otani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshika Otani

This figure shows the co-authorship network connecting the top 25 collaborators of Toshika Otani. A scholar is included among the top collaborators of Toshika Otani 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 Toshika Otani. Toshika Otani 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 6
2 2
3 13
4 2
5
Profiles of 13 Type 1 Lilly Insulin 50-year Award Winners at the Diabetes Center, Tokyo Womens Medical University School of Medicine
0
6 1
7 2
8 17
9 27
10 160
11 16
12 78
13 80
14 6
15 10
16 4
17 17
18 7
19 4
20 17

About Toshika Otani

Toshika Otani is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Ophthalmology, having authored 20 papers that have together received 469 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Diabetes Management and Research (9 papers) and Diabetes and associated disorders (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (307 citations), Nephrology (106 citations) and Genetics (166 citations). Toshika Otani has collaborated with scholars based in Japan, Pakistan and Denmark. Frequent co-authors include Yasuko Uchigata, Hiroki Yokoyama, Maki Okudaira, Hiroko Takaike, Hitomi Yamada, Akiko Satô, Yasue Omori, Yasuhiko Iwamoto, Tadasu Kasahara and Chizuru Watanabe. Their work appears in journals such as Diabetes Care, Kidney International 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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