Masayoshi Sawaki
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Epidemiology
- Immunology
- Molecular Medicine top 10%
- Co-authors
- Nobuhiro NaritaKeiichi MikasaEiji KitaMitsuru KonishiShuzo KashibaShoji TakeuchiKaoru HamadaRiichiro Mikami
- Topics
- Tracheal and airway disorders (7 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers)Mycobacterium research and diagnosis (4 papers)
In The Last Decade
Masayoshi Sawaki
37 papers receiving 338 citations
Peers
Comparison fields: 5 of 73
- Pulmonary and Respiratory Medicine 132
- Molecular Biology 115
- Epidemiology 101
- Immunology 67
- Molecular Medicine 43
Countries citing papers authored by Masayoshi Sawaki
This map shows the geographic impact of Masayoshi Sawaki'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 Masayoshi Sawaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Sawaki more than expected).
Fields of papers citing papers by Masayoshi Sawaki
This network shows the impact of papers produced by Masayoshi Sawaki. 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 Masayoshi Sawaki. The network helps show where Masayoshi Sawaki may publish in the future.
Co-authorship network of co-authors of Masayoshi Sawaki
This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Sawaki. A scholar is included among the top collaborators of Masayoshi Sawaki 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 Masayoshi Sawaki. Masayoshi Sawaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expression of IL-12 mRNA in peripheral blood mononuclear cells from inoperable non-small cell lung cancer patients treated with clarithromycin. | 3 |
| 2 | 0 | |
| 3 | Clinical aerosol inhalation cine-scintigraphy to evaluate mucociliary transport system in diffuse panbronchiolitis. | 3 |
| 4 | [Effect of clarithromycin treatment of natural killer cell activity in patients with advanced non-small cell lung cancer]. | 9 |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | Fever induced by antibacterial drugs | 1 |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Masayoshi Sawaki
Masayoshi Sawaki is a scholar working on Pulmonary and Respiratory Medicine, Microbiology and Critical Care and Intensive Care Medicine, having authored 39 papers that have together received 359 indexed citations. Recurring topics across this work include Tracheal and airway disorders (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Molecular Medicine (43 citations), Microbiology (39 citations) and Pulmonary and Respiratory Medicine (132 citations). Masayoshi Sawaki has collaborated with scholars based in Japan, Singapore and Bulgaria. Frequent co-authors include Nobuhiro Narita, Keiichi Mikasa, Eiji Kita, Mitsuru Konishi, Shuzo Kashiba, Shoji Takeuchi, Kaoru Hamada, Kaoru Hamada, Riichiro Mikami and Masashi Emoto. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Pharmacology and Chemotherapy.
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.