Tomoko Okuda
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Genetics top 1%
- Neurology top 5%
- Epidemiology top 10%
- Surgery top 10%
- Co-authors
- Takeshi SugaharaToshinori HiraiIchiro IkushimaMasato KochiYukunori KorogiYulin GeMutsumasa TakahashiLuxia Liang
- Topics
- Complement system in diseases (13 papers)Advanced MRI Techniques and Applications (13 papers)MRI in cancer diagnosis (11 papers)
- Partner nations
- JapanUnited StatesQatar
In The Last Decade
Tomoko Okuda
83 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Radiology, Nuclear Medicine and Imaging 1.6k
- Genetics 856
- Neurology 433
- Epidemiology 401
- Surgery 331
Countries citing papers authored by Tomoko Okuda
This map shows the geographic impact of Tomoko Okuda'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 Tomoko Okuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Okuda more than expected).
Fields of papers citing papers by Tomoko Okuda
This network shows the impact of papers produced by Tomoko Okuda. 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 Tomoko Okuda. The network helps show where Tomoko Okuda may publish in the future.
Co-authorship network of co-authors of Tomoko Okuda
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoko Okuda. A scholar is included among the top collaborators of Tomoko Okuda 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 Tomoko Okuda. Tomoko Okuda 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 | 8 | |
| 3 | 30 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 107 | |
| 8 | 144 | |
| 9 | 17 | |
| 10 | Detection of the binding sites on a cell membrane using atomic force microscopy with tip modification combined with background subtraction | 1 |
| 11 | 85 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 49 | |
| 15 | 13 | |
| 16 | 6 | |
| 17 | 25 | |
| 18 | 8 | |
| 19 | MR topography of the striate cortex - Correlation with anatomic sections | 2 |
| 20 | It is increased carriage on red cell c'R IND.1' and not solubilization that is the main function of complement in the handling of immunocomplexes | 1 |
About Tomoko Okuda
Tomoko Okuda is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Genetics, having authored 85 papers that have together received 2.9k indexed citations. Recurring topics across this work include Complement system in diseases (13 papers), Advanced MRI Techniques and Applications (13 papers) and MRI in cancer diagnosis (11 papers). The work is most often cited by research in Genetics (856 citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Neurology (433 citations). Tomoko Okuda has collaborated with scholars based in Japan, United States and Qatar. Frequent co-authors include Takeshi Sugahara, Toshinori Hirai, Ichiro Ikushima, Masato Kochi, Yukunori Korogi, Yulin Ge, Mutsumasa Takahashi, Luxia Liang, Yasuyuki Komohara and Yukitaka Ushio. Their work appears in journals such as Radiology, The Journal of Organic Chemistry and American Journal of Roentgenology.
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.