Masahiro Noda
- Epidemiology top 2%
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Hirokazu KimuraKatsumi MizutaHiroyuki TsukagoshiYoko AokiKunihisa KozawaChieko AbikoTsutomu ItagakiTatsuya Ikeda
- Topics
- Respiratory viral infections research (50 papers)Viral Infections and Immunology Research (19 papers)Viral gastroenteritis research and epidemiology (19 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaACS Nano
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Masahiro Noda
137 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 123
- Epidemiology 986
- Infectious Diseases 707
- Pulmonary and Respiratory Medicine 370
- Cardiology and Cardiovascular Medicine 365
- Molecular Biology 239
Countries citing papers authored by Masahiro Noda
This map shows the geographic impact of Masahiro Noda'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 Masahiro Noda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Noda more than expected).
Fields of papers citing papers by Masahiro Noda
This network shows the impact of papers produced by Masahiro Noda. 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 Masahiro Noda. The network helps show where Masahiro Noda may publish in the future.
Co-authorship network of co-authors of Masahiro Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Noda. A scholar is included among the top collaborators of Masahiro Noda 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 Masahiro Noda. Masahiro Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 14 | |
| 6 | 41 | |
| 7 | 52 | |
| 8 | 14 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 61 | |
| 13 | Separation of vascular endothelial cells from peripheral blood through porous polymeric membranes | 1 |
| 14 | 4 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | The influence of grinding oil viscosity on grinding heat and burn damage in creep-feed grinding{copyright} | 5 |
| 19 | 2 | |
| 20 | 1 |
About Masahiro Noda
Masahiro Noda is a scholar working on Infectious Diseases, Epidemiology and Microbiology, having authored 145 papers that have together received 1.9k indexed citations. Recurring topics across this work include Respiratory viral infections research (50 papers), Viral Infections and Immunology Research (19 papers) and Viral gastroenteritis research and epidemiology (19 papers). The work is most often cited by research in Infectious Diseases (707 citations), Epidemiology (986 citations) and Cardiology and Cardiovascular Medicine (365 citations). Masahiro Noda has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Hirokazu Kimura, Katsumi Mizuta, Hiroyuki Tsukagoshi, Yoko Aoki, Kunihisa Kozawa, Chieko Abiko, Tsutomu Itagaki, Tatsuya Ikeda, Tadayuki Ahiko and Yoko Matsuzaki. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and ACS Nano.
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.