M Kawase
- Infectious Diseases top 10%
- Molecular Biology
- Dermatology top 5%
- Genetics
- Pediatrics, Perinatology and Child Health
- Co-authors
- Neal S. YoungMikio MomoedaSachiko KajigayaKeijiro SamejimaMasashi OkadaYasuko TakedaSusan WongStacie M. Anderson
- Topics
- Virus-based gene therapy research (5 papers)Parvovirus B19 Infection Studies (5 papers)Polyamine Metabolism and Applications (5 papers)
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
M Kawase
25 papers receiving 410 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 190
- Molecular Biology 176
- Dermatology 117
- Genetics 85
- Pediatrics, Perinatology and Child Health 55
Countries citing papers authored by M Kawase
This map shows the geographic impact of M Kawase'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 M Kawase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kawase more than expected).
Fields of papers citing papers by M Kawase
This network shows the impact of papers produced by M Kawase. 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 M Kawase. The network helps show where M Kawase may publish in the future.
Co-authorship network of co-authors of M Kawase
This figure shows the co-authorship network connecting the top 25 collaborators of M Kawase. A scholar is included among the top collaborators of M Kawase 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 M Kawase. M Kawase is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cytotoxic activity of azulenequinones against human oral tumor cell lines | 2 |
| 2 | 14 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | Plasmid elimination and immunomodulation by 3-benzazepines in vitro. | 7 |
| 6 | The in vitro antitumor assay of "half-mustard type" phenothiazines in screens of AIDS-related leukemia and lymphomas. | 2 |
| 7 | The primary in vitro anticancer activity of "half-mustard type" phenothiazines in NCI's revised anticancer screening paradigm. | 15 |
| 8 | 45 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 59 | |
| 12 | 31 | |
| 13 | 73 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 3 | |
| 18 | 47 | |
| 19 | 4 | |
| 20 | [Hormone-binding proteins]. | 1 |
About M Kawase
M Kawase is a scholar working on Biochemistry, Infectious Diseases and Genetics, having authored 25 papers that have together received 443 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Parvovirus B19 Infection Studies (5 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Dermatology (117 citations), Infectious Diseases (190 citations) and Biochemistry (54 citations). M Kawase has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Neal S. Young, Mikio Momoeda, Sachiko Kajigaya, Keijiro Samejima, Masashi Okada, Yasuko Takeda, Susan Wong, Stacie M. Anderson, Yoshimasa Kyōgoku and Shunji Sakamoto. Their work appears in journals such as Analytical Biochemistry, Journal of Virology and Journal of Agricultural 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.