Masanori Daibata
- Oncology top 2%
- Molecular Biology
- Epidemiology top 5%
- Ecology top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Hirokuni TaguchiShigenobu MatsuzakiIsao MiyoshiJumpei UchiyamaTakahiro TaguchiYuiko NemotoTakako UjiharaYumiko Hashida
- Topics
- Viral-associated cancers and disorders (38 papers)Lymphoma Diagnosis and Treatment (35 papers)Bacteriophages and microbial interactions (24 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masanori Daibata
132 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Oncology 1.1k
- Molecular Biology 655
- Epidemiology 532
- Ecology 523
- Pathology and Forensic Medicine 457
Countries citing papers authored by Masanori Daibata
This map shows the geographic impact of Masanori Daibata'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 Masanori Daibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanori Daibata more than expected).
Fields of papers citing papers by Masanori Daibata
This network shows the impact of papers produced by Masanori Daibata. 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 Masanori Daibata. The network helps show where Masanori Daibata may publish in the future.
Co-authorship network of co-authors of Masanori Daibata
This figure shows the co-authorship network connecting the top 25 collaborators of Masanori Daibata. A scholar is included among the top collaborators of Masanori Daibata 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 Masanori Daibata. Masanori Daibata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | Therapeutic effects of intravitreous bacteriophage on Enterococcus faecalis endophthalmitis in mice | 1 |
| 8 | 15 | |
| 9 | 11 | |
| 10 | 69 | |
| 11 | 10 | |
| 12 | 8 | |
| 13 | 54 | |
| 14 | Involvement of KRAS G12A mutation in the IL-2-independent growth of a human T-LGL leukemia cell line, PLT-2. | 7 |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 20 | |
| 19 | 5 | |
| 20 | 21 |
About Masanori Daibata
Masanori Daibata is a scholar working on Microbiology, Oncology and Pathology and Forensic Medicine, having authored 135 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (38 papers), Lymphoma Diagnosis and Treatment (35 papers) and Bacteriophages and microbial interactions (24 papers). The work is most often cited by research in Microbiology (261 citations), Oncology (1.1k citations) and Pathology and Forensic Medicine (457 citations). Masanori Daibata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hirokuni Taguchi, Shigenobu Matsuzaki, Isao Miyoshi, Jumpei Uchiyama, Takahiro Taguchi, Yuiko Nemoto, Takako Ujihara, Yumiko Hashida, Robert E. Humphreys and Takeshi Sairenji. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.