Jun Murai
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
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- Diabetes Management and Research 18
- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Diabetes Treatment and Management 8
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 3
- Genetics 8
- Diabetes and associated disorders 8
- Co-authors
- Masafumi Koga (24 shared papers)Soji Kasayama (21 shared papers)Hiroshi Saito (9 shared papers)Hiroshi Saitō (12 shared papers)Mikio Mukai (10 shared papers)Hirohisa Saito (3 shared papers)Norikazu Maeda (3 shared papers)Iichiro Shimomura (3 shared papers)
In The Last Decade
Jun Murai
29 papers receiving 646 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 458
- Clinical Biochemistry 80
- Nephrology 30
- Physiology 103
- Genetics 110
Countries citing papers authored by Jun Murai
This map shows the geographic impact of Jun Murai'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 Murai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Murai more than expected).
Fields of papers citing papers by Jun Murai
This network shows the impact of papers produced by Jun Murai. 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 Murai. The network helps show where Jun Murai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Murai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 79 | |
| 2 | 2009 | 68 | |
| 3 | 2010 | 65 | |
| 4 | 2018 | 62 | |
| 5 | 2017 | 62 | |
| 6 | 2010 | 35 | |
| 7 | 2013 | 31 | |
| 8 | 2013 | 28 | |
| 9 | 2009 | 27 | |
| 10 | 2010 | 25 | |
| 11 | 2011 | 19 | |
| 12 | 2009 | 19 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 15 | |
| 15 | 2010 | 15 | |
| 16 | 2010 | 15 | |
| 17 | 2011 | 15 | |
| 18 | 2010 | 11 | |
| 19 | 2011 | 11 | |
| 20 | 2021 | 11 |
About Jun Murai
Jun Murai is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Molecular Biology and Epidemiology, having authored 29 papers that have together received 680 indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes and associated disorders (8 papers), Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (458 citations), Clinical Biochemistry (80 citations), Nephrology (30 citations), Physiology (103 citations) and Genetics (110 citations). Jun Murai has collaborated with scholars based in Japan and Australia. Frequent co-authors include Masafumi Koga, Soji Kasayama, Hiroshi Saito, Hiroshi Saitō, Mikio Mukai, Hirohisa Saito, Norikazu Maeda, Iichiro Shimomura, Yuya Fujishima and Hitoshi Nishizawa. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes Research and Clinical Practice, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Biochemistry and Clinica Chimica Acta.
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.