Suzuka Taki
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Co-authors
- Itaru YamamotoHisao TonamiKotaro HigashiManabu OguchiYoshimichi UedaHiroyasu SekiYoshihiro NambuTsutomu Sakuma
- Topics
- Medical Imaging and Pathology Studies (5 papers)Medical Imaging Techniques and Applications (4 papers)Radiopharmaceutical Chemistry and Applications (2 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineEndocrinology, Diabetes and Metabolism
- Journals
- Journal of the Neurological SciencesEuropean Journal of Nuclear Medicine and Molecular ImagingAnnals of Nuclear Medicine
- Partner nations
- Japan
In The Last Decade
Suzuka Taki
16 papers receiving 712 citations
Peers
Comparison fields: 5 of 71
- Pulmonary and Respiratory Medicine 357
- Radiology, Nuclear Medicine and Imaging 345
- Surgery 140
- Endocrinology, Diabetes and Metabolism 101
- Oncology 92
Countries citing papers authored by Suzuka Taki
This map shows the geographic impact of Suzuka Taki'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 Suzuka Taki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzuka Taki more than expected).
Fields of papers citing papers by Suzuka Taki
This network shows the impact of papers produced by Suzuka Taki. 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 Suzuka Taki. The network helps show where Suzuka Taki may publish in the future.
Co-authorship network of co-authors of Suzuka Taki
This figure shows the co-authorship network connecting the top 25 collaborators of Suzuka Taki. A scholar is included among the top collaborators of Suzuka Taki 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 Suzuka Taki. Suzuka Taki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | In vitro proton magnetic resonance spectroscopic lactate and choline measurements, 18F-FDG uptake, and prognosis in patients with lung adenocarcinoma. | 20 |
| 3 | 76 | |
| 4 | 87 | |
| 5 | 23 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 22 | |
| 11 | 18F-FDG uptake as a biologic prognostic factor for recurrence in patients with surgically resected non-small cell lung cancer. | 220 |
| 12 | 2 | |
| 13 | Comparison of [(18)F]FDG PET and (201)Tl SPECT in evaluation of pulmonary nodules. | 51 |
| 14 | 179 | |
| 15 | 3 | |
| 16 | 2 |
About Suzuka Taki
Suzuka Taki is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 731 indexed citations. Recurring topics across this work include Medical Imaging and Pathology Studies (5 papers), Medical Imaging Techniques and Applications (4 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (345 citations), Pulmonary and Respiratory Medicine (357 citations) and Endocrinology, Diabetes and Metabolism (101 citations). Suzuka Taki has collaborated with scholars based in Japan. Frequent co-authors include Itaru Yamamoto, Hisao Tonami, Kotaro Higashi, Manabu Oguchi, Yoshimichi Ueda, Hiroyasu Seki, Yoshihiro Nambu, Tsutomu Sakuma, Yukiko Arisaka and Shogo Katsuda. Their work appears in journals such as Journal of the Neurological Sciences, European Journal of Nuclear Medicine and Molecular Imaging and Annals of Nuclear Medicine.
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.