Jun Inaishi

507 citations
24 papers · 358 indexed · h-index 11
Topics
Diabetes Management and Research (13 papers)Pancreatic function and diabetes (12 papers)Diabetes and associated disorders (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
Partner nations
JapanUnited States

In The Last Decade

Jun Inaishi

23 papers receiving 357 citations

Peers

Jun Inaishi
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 205
  • Surgery 192
  • Genetics 117
  • Epidemiology 81
  • Molecular Biology 80
Replace Hisako Komada with:
Hisako Komada Japan
Miroslava Hučková Slovakia
Sílvia Bonàs‐Guarch Spain
María Luisa Ordóñez-Sánchez Mexico
G. Rayman United Kingdom
Jon C. Olson United States
Shogo Funakoshi Japan
Yunyi Le China
Marisela Villalobos‐Comparán Mexico
Christina A. Hedman Sweden
Jun Inaishi relative to Hisako Komada Japan Hisako Komada's profile →
Citations per field
00.5×1.5×2.4×
Hisako Komada · 1×
Citations per year

Countries citing papers authored by Jun Inaishi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Inaishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Inaishi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Inaishi. A scholar is included among the top collaborators of Jun Inaishi 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 Jun Inaishi. Jun Inaishi 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 1
2 5
3 7
4 1
5
Exenatide Once Weekly for Management of Type 2 Diabetes: A Review
6
6 2
7 5
8 23
9 18
10 7
11 69
12 12
13 10
14 13
15 17
16 27
17 30
18 47
19 21
20 6

About Jun Inaishi

Jun Inaishi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 24 papers that have together received 358 indexed citations. Recurring topics across this work include Diabetes Management and Research (13 papers), Pancreatic function and diabetes (12 papers) and Diabetes and associated disorders (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (205 citations), Surgery (192 citations) and Genetics (117 citations). Jun Inaishi has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshifumi Saisho, Hiroshi Itoh, Taketo Yamada, R. Murakami, Kinsei Kou, Seiji Sato, Minoru Kitago, Yuko Kitagawa, Hironobu Sasaki and Kazuhiro Kashiwagi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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