Kenta Moriwaki
- Molecular Biology top 1%
- Immunology top 1%
- Genetics top 1%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Francis Ka-Ming ChanEiji MiyoshiMarı́a José De RosaTakatoshi NakagawaThomas J. McQuadeNívea F. LuzJohn BertinPeter J. Gough
- Topics
- Glycosylation and Glycoproteins Research (28 papers)Cell death mechanisms and regulation (21 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)
- Cited by
- ImmunologyMolecular BiologyGenetics
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Kenta Moriwaki
127 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 4.6k
- Immunology 2.1k
- Genetics 1.4k
- Oncology 647
- Epidemiology 626
Countries citing papers authored by Kenta Moriwaki
This map shows the geographic impact of Kenta Moriwaki'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 Kenta Moriwaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Moriwaki more than expected).
Fields of papers citing papers by Kenta Moriwaki
This network shows the impact of papers produced by Kenta Moriwaki. 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 Kenta Moriwaki. The network helps show where Kenta Moriwaki may publish in the future.
Co-authorship network of co-authors of Kenta Moriwaki
This figure shows the co-authorship network connecting the top 25 collaborators of Kenta Moriwaki. A scholar is included among the top collaborators of Kenta Moriwaki 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 Kenta Moriwaki. Kenta Moriwaki 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 | 2 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | 46 | |
| 6 | 288 | |
| 7 | 66 | |
| 8 | 38 | |
| 9 | 2 | |
| 10 | 85 | |
| 11 | 27 | |
| 12 | 82 | |
| 13 | Nucleotide sequence of the non-coding region between b1 and b2 gene of Hbbp haplotype.(Taxonomy and Systematics)(Proceeding of the Seventy-Third Annual Meeting of the Zoological Society of Japan) | 1 |
| 14 | 18 | |
| 15 | 28 | |
| 16 | 12 | |
| 17 | Diatoms in water column and sea-ice in Lützow-Holm Bay, Antarctica, and their preservation in the underlying sediments | 27 |
| 18 | 44 | |
| 19 | 74 | |
| 20 | Cytogenetical and biochemical studies of 19 primary plasma cell neo- plasms induced in balb/c mice. | 1 |
About Kenta Moriwaki
Kenta Moriwaki is a scholar working on Immunology, Genetics and Molecular Biology, having authored 131 papers that have together received 7.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (28 papers), Cell death mechanisms and regulation (21 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). The work is most often cited by research in Immunology (2.1k citations), Molecular Biology (4.6k citations) and Genetics (1.4k citations). Kenta Moriwaki has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Francis Ka-Ming Chan, Eiji Miyoshi, Marı́a José De Rosa, Takatoshi Nakagawa, Thomas J. McQuade, Nívea F. Luz, John Bertin, Peter J. Gough, Johanna Napetschnig and Thomas Walz. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.