Keiichi Mikasa
- Epidemiology top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Molecular Medicine top 5%
- Co-authors
- Kei KasaharaNobuhiro NaritaEiji KitaMitsuru KonishiMasayoshi SawakiKoichi MaedaHisakazu YanoShuzo Kashiba
- Topics
- Pneumonia and Respiratory Infections (15 papers)Antimicrobial Resistance in Staphylococcus (10 papers)Mycobacterium research and diagnosis (10 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Keiichi Mikasa
100 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Epidemiology 420
- Infectious Diseases 309
- Molecular Biology 252
- Pulmonary and Respiratory Medicine 208
- Molecular Medicine 137
Countries citing papers authored by Keiichi Mikasa
This map shows the geographic impact of Keiichi Mikasa'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 Keiichi Mikasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Mikasa more than expected).
Fields of papers citing papers by Keiichi Mikasa
This network shows the impact of papers produced by Keiichi Mikasa. 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 Keiichi Mikasa. The network helps show where Keiichi Mikasa may publish in the future.
Co-authorship network of co-authors of Keiichi Mikasa
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Mikasa. A scholar is included among the top collaborators of Keiichi Mikasa 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 Keiichi Mikasa. Keiichi Mikasa 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 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | Expression of IL-12 mRNA in peripheral blood mononuclear cells from inoperable non-small cell lung cancer patients treated with clarithromycin. | 3 |
| 8 | 0 | |
| 9 | Clinical aerosol inhalation cine-scintigraphy to evaluate mucociliary transport system in diffuse panbronchiolitis. | 3 |
| 10 | 1 | |
| 11 | Fever induced by antibacterial drugs | 1 |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | Nutritional assessment of active pulmonary tuberculosis patients. | 1 |
| 16 | 19 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Keiichi Mikasa
Keiichi Mikasa is a scholar working on Microbiology, Infectious Diseases and Endocrinology, having authored 111 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (15 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Mycobacterium research and diagnosis (10 papers). The work is most often cited by research in Microbiology (24 citations), Molecular Medicine (137 citations) and Endocrinology (96 citations). Keiichi Mikasa has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Kei Kasahara, Nobuhiro Narita, Eiji Kita, Mitsuru Konishi, Masayoshi Sawaki, Koichi Maeda, Hisakazu Yano, Shuzo Kashiba, Kaoru Hamada and Kenji Uno. Their work appears in journals such as PLoS ONE, Scientific Reports and Food Chemistry.
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.