Naoko Mori
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Biomedical Engineering
- Co-authors
- Shunji MugikuraKei TakaseYu MoriShoki TakahashiHiroyuki AbéChiaki TakasawaTakanori IshidaMotoko Yamaguchi
- Topics
- Physics of Superconductivity and Magnetism (25 papers)MRI in cancer diagnosis (19 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsRadiology
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Naoko Mori
181 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 144
- Radiology, Nuclear Medicine and Imaging 639
- Surgery 404
- Molecular Biology 274
- Pathology and Forensic Medicine 222
- Biomedical Engineering 194
Countries citing papers authored by Naoko Mori
This map shows the geographic impact of Naoko 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 Naoko Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Mori more than expected).
Fields of papers citing papers by Naoko Mori
This network shows the impact of papers produced by Naoko 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 Naoko Mori. The network helps show where Naoko Mori may publish in the future.
Co-authorship network of co-authors of Naoko Mori
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Mori. A scholar is included among the top collaborators of Naoko 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 Naoko Mori. Naoko 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 37 | |
| 18 | Evaluation of genes encoding 4-N-trimethylaminobutyraldehyde dehydrogenase and 4-N-trimethylamino-1-butanol dehydrogenase from Pseudomonas sp. 13CM. | 1 |
| 19 | 8 | |
| 20 | 5 |
About Naoko Mori
Naoko Mori is a scholar working on Condensed Matter Physics, Obstetrics and Gynecology and Rheumatology, having authored 211 papers that have together received 2.4k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (25 papers), MRI in cancer diagnosis (19 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (639 citations), Developmental Neuroscience (66 citations) and Obstetrics and Gynecology (124 citations). Naoko Mori has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Shunji Mugikura, Kei Takase, Yu Mori, Shoki Takahashi, Hiroyuki Abé, Chiaki Takasawa, Takanori Ishida, Motoko Yamaguchi, Keiko Tsuchiya and Toshimi Aizawa. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.
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.