Mitsuo Imura
Impact in
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- Metabolism and Genetic Disorders
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- Genetic Associations and Epidemiology
- Digestive system and related health
Papers in
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- Diet and metabolism studies 4
- Surgery 3
- Pancreatic function and diabetes 2
- Co-authors
- Hidetoshi Takada (1 shared paper)Koichi Ohshima (1 shared paper)Shouichi Ohga (1 shared paper)Toshiro Hara (1 shared paper)Shunji Hikino (1 shared paper)A Nomura (1 shared paper)Takashi Hashimoto (2 shared papers)O Takatani (3 shared papers)
- Journals
- Hormone and Metabolic Research (2 papers)Scientific Reports (1 paper)Clinical Chemistry (1 paper)Diabetes (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Mitsuo Imura
11 papers receiving 187 citations
Peers
Comparison fields: 5 of 60
- Clinical Biochemistry 19
- Genetics 70
- Rheumatology 37
- Periodontics 11
- Geriatrics and Gerontology 9
Countries citing papers authored by Mitsuo Imura
This map shows the geographic impact of Mitsuo Imura'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 Mitsuo Imura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Imura more than expected).
Fields of papers citing papers by Mitsuo Imura
This network shows the impact of papers produced by Mitsuo Imura. 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 Mitsuo Imura. The network helps show where Mitsuo Imura may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitsuo Imura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 61 | |
| 2 | 2003 | 42 | |
| 3 | 1983 | 32 | |
| 4 | 1975 | 23 | |
| 5 | 2022 | 14 | |
| 6 | 2009 | 10 | |
| 7 | 2019 | 7 | |
| 8 | The effect of tryptophan administration on fatty acid synthesis in the livers of rats under various nutritional conditions. | 1975 | 2 |
| 9 | 1981 | 2 | |
| 10 | 1983 | 1 | |
| 11 | [Two cases of the spontaneous hemopneumothorax with massive bleeding]. | 1984 | 1 |
About Mitsuo Imura
Mitsuo Imura is a scholar working on Physiology, Surgery, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 195 indexed citations. Recurring topics across this work include Diet and metabolism studies (4 papers), Metabolism and Genetic Disorders (2 papers), Pancreatic function and diabetes (2 papers), Biochemical Acid Research Studies (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic Associations and Epidemiology (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (19 citations), Genetics (70 citations), Rheumatology (37 citations), Periodontics (11 citations) and Geriatrics and Gerontology (9 citations). Mitsuo Imura has collaborated with scholars based in Japan and United States. Frequent co-authors include Hidetoshi Takada, Koichi Ohshima, Shouichi Ohga, Toshiro Hara, Shunji Hikino, A Nomura, Takashi Hashimoto, O Takatani, Masuo Funabashi and Naoyuki Kamatani. Their work appears in journals such as Hormone and Metabolic Research, Scientific Reports, Clinical Chemistry, Diabetes and Clinical & Experimental Immunology.
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.