Nobuyasu Suganuma
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Oncology top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Yasushi RinoHirotaka NakayamaKatsuhiko MasudoMunetaka MasudaKenichi MatsuzuNobuyuki WadaHiroyuki IwasakiToshio Imada
- Topics
- Thyroid Cancer Diagnosis and Treatment (32 papers)Thyroid and Parathyroid Surgery (14 papers)BRCA gene mutations in cancer (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Nobuyasu Suganuma
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 685
- Surgery 449
- Oncology 270
- Molecular Biology 195
- Pulmonary and Respiratory Medicine 152
Countries citing papers authored by Nobuyasu Suganuma
This map shows the geographic impact of Nobuyasu Suganuma'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 Nobuyasu Suganuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyasu Suganuma more than expected).
Fields of papers citing papers by Nobuyasu Suganuma
This network shows the impact of papers produced by Nobuyasu Suganuma. 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 Nobuyasu Suganuma. The network helps show where Nobuyasu Suganuma may publish in the future.
Co-authorship network of co-authors of Nobuyasu Suganuma
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuyasu Suganuma. A scholar is included among the top collaborators of Nobuyasu Suganuma 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 Nobuyasu Suganuma. Nobuyasu Suganuma 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 32 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | Factors Influencing the Chemo-Sensitivity of Weekly Paclitaxel for Anaplastic Thyroid Cancer: A Clinico-Pathologic Analysis of Cases Enrolled in a Clinical Trial | 1 |
| 13 | 43 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 3 | |
| 20 | 51 |
About Nobuyasu Suganuma
Nobuyasu Suganuma is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Cancer Research, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (32 papers), Thyroid and Parathyroid Surgery (14 papers) and BRCA gene mutations in cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (685 citations), Anatomy (31 citations) and Surgery (449 citations). Nobuyasu Suganuma has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yasushi Rino, Hirotaka Nakayama, Katsuhiko Masudo, Munetaka Masuda, Kenichi Matsuzu, Nobuyuki Wada, Hiroyuki Iwasaki, Toshio Imada, Haruhiko Yamazaki and Soji Toda. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.