Toshihide Monden
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Oncology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Yoshihiro NishiyamaMotoomi OhkawaYuka YamamotoYasuhiro SasakawaKatashi SatohKunihiko TsutsuiYoshitaka MatsumuraHisao Wakabayashi
- Topics
- Medical Imaging Techniques and Applications (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Advanced MRI Techniques and Applications (4 papers)
In The Last Decade
Toshihide Monden
15 papers receiving 350 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 214
- Pulmonary and Respiratory Medicine 89
- Oncology 82
- Surgery 62
- Endocrinology, Diabetes and Metabolism 50
Countries citing papers authored by Toshihide Monden
This map shows the geographic impact of Toshihide Monden'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 Toshihide Monden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihide Monden more than expected).
Fields of papers citing papers by Toshihide Monden
This network shows the impact of papers produced by Toshihide Monden. 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 Toshihide Monden. The network helps show where Toshihide Monden may publish in the future.
Co-authorship network of co-authors of Toshihide Monden
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihide Monden. A scholar is included among the top collaborators of Toshihide Monden 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 Toshihide Monden. Toshihide Monden 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 | 5 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 40 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 51 | |
| 11 | 51 | |
| 12 | 45 | |
| 13 | 20 | |
| 14 | 23 | |
| 15 | Clinical usefulness of fusion of 131I SPECT and CT images in patients with differentiated thyroid carcinoma. | 74 |
| 16 | 分化型の甲状腺癌患者におけるI-131 SPECTとCTの融合画像の臨床有用性 | 3 |
| 17 | 2 |
About Toshihide Monden
Toshihide Monden is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Genetics, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (214 citations), Endocrinology, Diabetes and Metabolism (50 citations) and Oncology (82 citations). Toshihide Monden has collaborated with scholars based in Japan, Tunisia and Greece. Frequent co-authors include Yoshihiro Nishiyama, Motoomi Ohkawa, Yuka Yamamoto, Yasuhiro Sasakawa, Katashi Satoh, Kunihiko Tsutsui, Yoshitaka Matsumura, Hisao Wakabayashi, Nobuyuki Kawai and Reiji Haba. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Nuclear Medicine Communications and Molecular Imaging and Biology.
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.