Mitsuharu Murase
- Epidemiology
- Pharmacology top 10%
- Infectious Diseases
- Nephrology top 10%
- Molecular Biology
- Co-authors
- Tatsuya NishimiyaAkihiro TanakaTakashi OtsukaKatsuya SuemaruTomoyoshi InoueHiroaki ArakiNozomu TakeuchiHitoshi Umezawa
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Antibiotics Pharmacokinetics and Efficacy (6 papers)Chronic Kidney Disease and Diabetes (4 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Mitsuharu Murase
37 papers receiving 347 citations
Peers
Comparison fields: 5 of 75
- Epidemiology 118
- Pharmacology 97
- Infectious Diseases 59
- Nephrology 58
- Molecular Biology 55
Countries citing papers authored by Mitsuharu Murase
This map shows the geographic impact of Mitsuharu Murase'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 Mitsuharu Murase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuharu Murase more than expected).
Fields of papers citing papers by Mitsuharu Murase
This network shows the impact of papers produced by Mitsuharu Murase. 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 Mitsuharu Murase. The network helps show where Mitsuharu Murase may publish in the future.
Co-authorship network of co-authors of Mitsuharu Murase
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuharu Murase. A scholar is included among the top collaborators of Mitsuharu Murase 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 Mitsuharu Murase. Mitsuharu Murase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 53 | |
| 3 | 7 | |
| 4 | 20 | |
| 5 | 12 | |
| 6 | 33 | |
| 7 | 0 | |
| 8 | 20 | |
| 9 | URINARY TRACT INFECTION FOLLOWING RENAL TRANSPLANTATION | 2 |
| 10 | 1 | |
| 11 | 14 | |
| 12 | [Antimicrobial activities of roxithromycin against recently obtained clinical isolates]. | 1 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | Peptimycin,a product of streptomyces exhibiting apparent inhibition against Ehrlich carcinoma. | 7 |
| 20 | Identification of an antibiotic produced by S. galbus, n. sp. with streptomycin. | 1 |
About Mitsuharu Murase
Mitsuharu Murase is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Nephrology, having authored 43 papers that have together received 361 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Nephrology (58 citations), Clinical Biochemistry (39 citations) and Pharmacology (97 citations). Mitsuharu Murase has collaborated with scholars based in Japan and United States. Frequent co-authors include Tatsuya Nishimiya, Akihiro Tanaka, Takashi Otsuka, Katsuya Suemaru, Tomoyoshi Inoue, Hiroaki Araki, Nozomu Takeuchi, Hitoshi Umezawa, Tetsuya Aiba and Hideichi Makino. Their work appears in journals such as Endocrinology, Antimicrobial Agents and Chemotherapy and British Journal of Haematology.
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.