Toshie Iijima

1.3k citations
35 papers · 967 indexed · 1 hit paper · h-index 13
Topics
Diabetes Treatment and Management (11 papers)Liver Disease Diagnosis and Treatment (9 papers)Metabolism, Diabetes, and Cancer (6 papers)
Journals
SHILAP Revista de lepidopterologíaDiabetesInternational Journal of Molecular Sciences
Partner nations
JapanUnited States

In The Last Decade

Toshie Iijima

31 papers receiving 957 citations

Hit Papers

Evaluation of the effects of dapagliflozin, a sodium‐gluc...2018202620202023201850100150200250

Peers

Toshie Iijima
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 657
  • Epidemiology 500
  • Surgery 338
  • Molecular Biology 279
  • Oncology 113
Replace Michelle Kirby with:
Michelle Kirby United States
Chikara Komiya Japan
Yasutaka Miyachi Japan
Kumiko Shiba Japan
Xuesong Guan United States
Mayumi Ishikawa Japan
Anne-Laure Sberna France
Seishu Tamaki Japan
Mengsu Zeng China
Ēriks Šmagris United States
Toshie Iijima relative to Michelle Kirby United States Michelle Kirby's profile →
Citations per field
00.5×3.8×
Michelle Kirby · 1×
Citations per year

Countries citing papers authored by Toshie Iijima

Since Specialization
Citations

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

Fields of papers citing papers by Toshie Iijima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshie Iijima

This figure shows the co-authorship network connecting the top 25 collaborators of Toshie Iijima. A scholar is included among the top collaborators of Toshie Iijima 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 Toshie Iijima. Toshie Iijima 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 3
2 1
3 0
4 9
5 2
6 3
7 2
8 19
9 10
10 3
11 3
12 7
13 28
14 89
15 91
16 14
17 166
18 28
19 34
20 21

About Toshie Iijima

Toshie Iijima is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Epidemiology, having authored 35 papers that have together received 967 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Liver Disease Diagnosis and Treatment (9 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (657 citations), Epidemiology (500 citations) and Hepatology (101 citations). Toshie Iijima has collaborated with scholars based in Japan and United States. Frequent co-authors include Teruo Jojima, Yoshimasa Aso, Kunihiro Suzuki, Isao Usui, Kanako Kato, Kazumi Akimoto, Masanori Shimizu, Hideyuki Hiraishi, Toshimitsu Murohisa and Makoto Iijima. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes and International Journal of Molecular Sciences.

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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