Naoki Mori
- Immunology top 0.5%
- Molecular Biology top 5%
- Ecology, Evolution, Behavior and Systematics top 1%
- Agronomy and Crop Science top 0.5%
- Cancer Research top 2%
- Co-authors
- Chie IshikawaMasachika SenbaNaoki YamamotoMariko TomitaMasahiro FujiiYasuaki YamadaMasao TomonagaDiane Prager
- Topics
- T-cell and Retrovirus Studies (108 papers)Vector-Borne Animal Diseases (77 papers)Animal Disease Management and Epidemiology (59 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Naoki Mori
238 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 137
- Immunology 2.6k
- Molecular Biology 2.2k
- Ecology, Evolution, Behavior and Systematics 1.1k
- Agronomy and Crop Science 1.1k
- Cancer Research 799
Countries citing papers authored by Naoki Mori
This map shows the geographic impact of Naoki Mori'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 Naoki Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Mori more than expected).
Fields of papers citing papers by Naoki Mori
This network shows the impact of papers produced by Naoki Mori. 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 Naoki Mori. The network helps show where Naoki Mori may publish in the future.
Co-authorship network of co-authors of Naoki Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Mori. A scholar is included among the top collaborators of Naoki Mori 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 Naoki Mori. Naoki Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 14 | |
| 7 | 18 | |
| 8 | 29 | |
| 9 | 42 | |
| 10 | 30 | |
| 11 | 16 | |
| 12 | Mutation in HRG4 (UNC119) Leads To Mitochondrial ANT1–Mediated Apoptosis and Retinal Degeneration | 2 |
| 13 | POSITIONING TECHNOLOGIES FOR PEDESTRIAN NAVIGATION -- DEVELOPING THE PEDESTRIAN ITS | 1 |
| 14 | 79 | |
| 15 | 33 | |
| 16 | 36 | |
| 17 | 9 | |
| 18 | Inhibitory effect of interleukin 4 on production of interleukin 6 by adult T-cell leukemia cells. | 12 |
| 19 | 9 | |
| 20 | 4 |
About Naoki Mori
Naoki Mori is a scholar working on Immunology, Agronomy and Crop Science and Sensory Systems, having authored 243 papers that have together received 6.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (108 papers), Vector-Borne Animal Diseases (77 papers) and Animal Disease Management and Epidemiology (59 papers). The work is most often cited by research in Immunology (2.6k citations), Agronomy and Crop Science (1.1k citations) and Sensory Systems (375 citations). Naoki Mori has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Chie Ishikawa, Masachika Senba, Naoki Yamamoto, Mariko Tomita, Masahiro Fujii, Yasuaki Yamada, Masao Tomonaga, Diane Prager, Yuetsu Tanaka and Shu‐ichi Ikeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.