Teruo Iwamasa
- Molecular Biology
- Epidemiology top 10%
- Oncology top 10%
- Immunology top 10%
- Rheumatology top 5%
- Co-authors
- Tadao TakeuchiTakao KinjoYoshihiko KamadaNaomi NakamuraNaoki YamamotoJun‐ichi KiraYasuto ItoyamaIkuo Goto
- Topics
- Glycogen Storage Diseases and Myoclonus (15 papers)Viral-associated cancers and disorders (12 papers)Glycosylation and Glycoproteins Research (10 papers)
- Journals
- NeurologyCancerAnnals of Neurology
In The Last Decade
Teruo Iwamasa
91 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 414
- Epidemiology 310
- Oncology 296
- Immunology 233
- Rheumatology 176
Countries citing papers authored by Teruo Iwamasa
This map shows the geographic impact of Teruo Iwamasa'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 Teruo Iwamasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teruo Iwamasa more than expected).
Fields of papers citing papers by Teruo Iwamasa
This network shows the impact of papers produced by Teruo Iwamasa. 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 Teruo Iwamasa. The network helps show where Teruo Iwamasa may publish in the future.
Co-authorship network of co-authors of Teruo Iwamasa
This figure shows the co-authorship network connecting the top 25 collaborators of Teruo Iwamasa. A scholar is included among the top collaborators of Teruo Iwamasa 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 Teruo Iwamasa. Teruo Iwamasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 26 | |
| 3 | 21 | |
| 4 | 36 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 38 | |
| 8 | 14 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 177 | |
| 12 | 13 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 186. Immunohistochemistry of acid α-glucosidase of human liver | 1 |
| 17 | Study on the Mechanism of Glycogenosome Formation (8) : Molecular Diversity of α-Glucosidases | 1 |
| 18 | Study on the Mechanism of the Glycogenosome Formation (7) : Heterogeneity of Glycogen Macromolecules and Autophagic Activity | 0 |
| 19 | Histochemical Application of Fluorene Derivatives : (2) Detection of Peroxidase Activity of Intracellular Granules in Rat Hepatocytes and Renal Tubular Epithelial Cells | 1 |
| 20 | A Cytochemical Study of the Intracellular Localization of Uridine Diphosphate Glucose Glycogen Glucosyltransferase, Using the Centrifugal Fraction Techniques and Electron Microscope | 1 |
About Teruo Iwamasa
Teruo Iwamasa is a scholar working on Rheumatology, Reproductive Medicine and Clinical Biochemistry, having authored 94 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (15 papers), Viral-associated cancers and disorders (12 papers) and Glycosylation and Glycoproteins Research (10 papers). The work is most often cited by research in Otorhinolaryngology (87 citations), Agronomy and Crop Science (144 citations) and Rheumatology (176 citations). Teruo Iwamasa has collaborated with scholars based in Japan, Australia and India. Frequent co-authors include Tadao Takeuchi, Takao Kinjo, Yoshihiko Kamada, Naomi Nakamura, Naoki Yamamoto, Jun‐ichi Kira, Yasuto Itoyama, Ikuo Goto, Tetsuo Hamada and Keiichiro Genka. Their work appears in journals such as Neurology, Cancer and Annals of Neurology.
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.