Mikio Mukai
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Surgery
- Epidemiology
- Co-authors
- Soji KasayamaMasafumi KogaToru OkaHiroshi SaitōMichio OtsukiTakumi SumimotoJun MuraiKunio Hiwada
- Topics
- Glycosylation and Glycoproteins Research (9 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Carbohydrate Chemistry and Synthesis (7 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismInternal MedicineCardiology and Cardiovascular Medicine
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Mikio Mukai
69 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 485
- Cardiology and Cardiovascular Medicine 343
- Molecular Biology 321
- Surgery 181
- Epidemiology 153
Countries citing papers authored by Mikio Mukai
This map shows the geographic impact of Mikio Mukai'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 Mikio Mukai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikio Mukai more than expected).
Fields of papers citing papers by Mikio Mukai
This network shows the impact of papers produced by Mikio Mukai. 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 Mikio Mukai. The network helps show where Mikio Mukai may publish in the future.
Co-authorship network of co-authors of Mikio Mukai
This figure shows the co-authorship network connecting the top 25 collaborators of Mikio Mukai. A scholar is included among the top collaborators of Mikio Mukai 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 Mikio Mukai. Mikio Mukai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 131 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 20 | |
| 8 | 15 | |
| 9 | 65 | |
| 10 | 25 | |
| 11 | 15 | |
| 12 | 40 | |
| 13 | 27 | |
| 14 | 15 | |
| 15 | 6 | |
| 16 | 57 | |
| 17 | 118 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | CLINICAL EVALUATION OF FOSFOMYCIN NATRIUM SALT IN CHILDREN | 1 |
About Mikio Mukai
Mikio Mukai is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Carbohydrate Chemistry and Synthesis (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (485 citations), Internal Medicine (85 citations) and Cardiology and Cardiovascular Medicine (343 citations). Mikio Mukai has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Soji Kasayama, Masafumi Koga, Toru Oka, Hiroshi Saitō, Michio Otsuki, Takumi Sumimoto, Jun Murai, Kunio Hiwada, Hiroshi Saito and Mareomi Hamada. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
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.