Keimei Mashimo
- Co-authors
- Shoichi NakagawaIsao MakinoKenjiro ShinozakiKoji NakagawaYoshihiko HoriuchiKoichi YoshinoHidetaka NakayamaTakashi Sasaki
- Topics
- Growth Hormone and Insulin-like Growth Factors (6 papers)Drug Transport and Resistance Mechanisms (5 papers)Stress Responses and Cortisol (3 papers)
- Partner nations
- Japan
In The Last Decade
Keimei Mashimo
29 papers receiving 847 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 447
- Surgery 218
- Oncology 201
- Molecular Biology 153
- Epidemiology 132
Countries citing papers authored by Keimei Mashimo
This map shows the geographic impact of Keimei Mashimo'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 Keimei Mashimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keimei Mashimo more than expected).
Fields of papers citing papers by Keimei Mashimo
This network shows the impact of papers produced by Keimei Mashimo. 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 Keimei Mashimo. The network helps show where Keimei Mashimo may publish in the future.
Co-authorship network of co-authors of Keimei Mashimo
This figure shows the co-authorship network connecting the top 25 collaborators of Keimei Mashimo. A scholar is included among the top collaborators of Keimei Mashimo 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 Keimei Mashimo. Keimei Mashimo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Clinical study on CS-807 in respiratory infections | 1 |
| 2 | Clinical trials with cefoperazone in the field of internal medicine in Japan. | 16 |
| 3 | Penetration of antibiotics into bile. | 5 |
| 4 | 4 | |
| 5 | The enhancement of phagocytosis and intra-cellular killing of Pseudomonas aeruginosa and its common antigen (OEP) coated latex particles by mouse spleen macrophages to which anti-OEP-IgG and gentamicin have been added. | 1 |
| 6 | 5 | |
| 7 | 27 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 329 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 56 | |
| 17 | 15 | |
| 18 | 167 | |
| 19 | 2 | |
| 20 | 7 |
About Keimei Mashimo
Keimei Mashimo is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Medicine, having authored 30 papers that have together received 949 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (447 citations), Behavioral Neuroscience (71 citations) and Clinical Biochemistry (56 citations). Keimei Mashimo has collaborated with scholars based in Japan. Frequent co-authors include Shoichi Nakagawa, Isao Makino, Kenjiro Shinozaki, Koji Nakagawa, Yoshihiko Horiuchi, Koichi Yoshino, Hidetaka Nakayama, Takashi Sasaki, Shin Aoki and Kazuo Takebe. Their work appears in journals such as The Lancet, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.