Junpei Sanada

647 citations
66 papers · 406 · h-index 10

Impact in

Papers in

    • Diabetes Treatment and Management 17
    • Diabetes Management and Research 11
    • Hormonal Regulation and Hypertension 3
    • Diabetes, Cardiovascular Risks, and Lipoproteins 2
    • Pancreatic function and diabetes 11

Junpei Sanada

56 papers receiving 402 citations

Peers

Junpei Sanada
Comparison fields: 5 of 59
  • Endocrinology, Diabetes and Metabolism 191
  • Epidemiology 79
  • Surgery 92
  • Physiology 42
  • Nephrology 9
Replace Yoshiro Fushimi with:
Yoshiro Fushimi Japan
Fuminori Tatsumi Japan
Motohiro Sasaki Japan
Jin Hee Kim South Korea
Kazuhiko Matsuzawa Japan
Hannes Manell Sweden
Seizo Okauchi Japan
He‐Jiun Jiang Taiwan
Sofie Hædersdal Denmark
Jingyu Jin China
Junpei Sanada relative to Yoshiro Fushimi Japan Yoshiro Fushimi's profile →
Citations per field
00.5×1.5×
Yoshiro Fushimi · 1×
Citations per year

Countries citing papers authored by Junpei Sanada

Since Specialization
Citations

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

Fields of papers citing papers by Junpei Sanada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202234
3 202131
4 202131
5 201625
6 201918
7 201717
8 202215
9 201810
10 202110
11 20199
12 20188
13 20198
14 20246
15 20216
16 20246
17 20236
18 20215
19 20205
20 20235

About Junpei Sanada

Junpei Sanada is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Molecular Biology and Oncology, having authored 66 papers that have together received 406 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (17 papers), Pancreatic function and diabetes (11 papers), Diabetes Management and Research (11 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Hormonal Regulation and Hypertension (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Epidemiology (79 citations), Surgery (92 citations), Physiology (42 citations) and Nephrology (9 citations). Junpei Sanada has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Masashi Shimoda, Hideaki Kaneto, Yoshiro Fushimi, Kohei Kaku, Tomoatsu Mune, Shuhei Nakanishi, Atsushi Obata, Tomohiko Kimura, Kenji Kohara and Fuminori Tatsumi. Their work appears in journals such as Journal of Diabetes Investigation, Scientific Reports, Frontiers in Endocrinology, Diabetes Obesity and Metabolism and Diabetes Therapy.

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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