Masahiko Nezu
- Co-authors
- Fumio NomuraTakeshi TomonagaTakenori OchiaiHideaki ShimadaKinya YodaKazuyuki MatsushitaMasami IshibashiMasahiko Sunaga
- Topics
- Alcohol Consumption and Health Effects (5 papers)Advanced Proteomics Techniques and Applications (4 papers)Epigenetics and DNA Methylation (3 papers)
- Journals
- Journal of Clinical OncologyCancer ResearchBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Masahiko Nezu
17 papers receiving 337 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 226
- Oncology 63
- Cell Biology 62
- Pathology and Forensic Medicine 57
- Spectroscopy 48
Countries citing papers authored by Masahiko Nezu
This map shows the geographic impact of Masahiko Nezu'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 Masahiko Nezu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiko Nezu more than expected).
Fields of papers citing papers by Masahiko Nezu
This network shows the impact of papers produced by Masahiko Nezu. 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 Masahiko Nezu. The network helps show where Masahiko Nezu may publish in the future.
Co-authorship network of co-authors of Masahiko Nezu
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiko Nezu. A scholar is included among the top collaborators of Masahiko Nezu 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 Masahiko Nezu. Masahiko Nezu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | Protein profiling in pancreatic juice for detection of intraductal papillary mucinous neoplasm of the pancreas. | 12 |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 103 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 69 | |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 14 | |
| 18 | Deletion of the carboxyl-terminal exons of K-sam/FGFR2 by short homology-mediated recombination, generating preferential expression of specific messenger RNAs. | 32 |
| 19 | [The combination therapy with vinca-alkaloid slow infusion and cholchicine was effective to refractory idiopathic thrombocytopenic purpura. The patient could receive femoral head replacement in safety]. | 6 |
About Masahiko Nezu
Masahiko Nezu is a scholar working on Pharmacology, Pathology and Forensic Medicine and Spectroscopy, having authored 19 papers that have together received 342 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cell Biology (62 citations), Molecular Biology (226 citations) and Pathology and Forensic Medicine (57 citations). Masahiko Nezu has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Fumio Nomura, Takeshi Tomonaga, Takenori Ochiai, Hideaki Shimada, Kinya Yoda, Kazuyuki Matsushita, Masami Ishibashi, Masahiko Sunaga, Hideaki Shimada and Kazuyuki Sogawa. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Biochemical and Biophysical Research Communications.
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.