Gaiko Ueda
- Co-authors
- Masaki InoueOsamu TanizawaMasato YamasakiYoshiaki TanakaK KurachiJunko SaitoMasumi SawadaMasami Fujita
- Topics
- Ovarian cancer diagnosis and treatment (12 papers)Neuroendocrine Tumor Research Advances (11 papers)Neuroblastoma Research and Treatments (6 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Gaiko Ueda
50 papers receiving 538 citations
Peers
Comparison fields: 5 of 72
- Reproductive Medicine 192
- Epidemiology 178
- Surgery 162
- Molecular Biology 145
- Oncology 122
Countries citing papers authored by Gaiko Ueda
This map shows the geographic impact of Gaiko Ueda'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 Gaiko Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaiko Ueda more than expected).
Fields of papers citing papers by Gaiko Ueda
This network shows the impact of papers produced by Gaiko Ueda. 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 Gaiko Ueda. The network helps show where Gaiko Ueda may publish in the future.
Co-authorship network of co-authors of Gaiko Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Gaiko Ueda. A scholar is included among the top collaborators of Gaiko Ueda 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 Gaiko Ueda. Gaiko Ueda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 41 | |
| 3 | 58 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | Correlative light and immunohistological study of the HCG-like antigen in the squamous cell carcinoma of the human uterine cervix. | 2 |
| 12 | A MALIGNANT PAROVARIAN TUMOR ACCOMPANIED BY OVARIAN SEROUS CYSTADENOMA OF LOW POTENTIAL MALIGNANCY | 1 |
| 13 | Juvenile granulosa cell tumor of the ovary. | 2 |
| 14 | ULTRASTRUCTURAL DEMONSTRATION OF ARGYROPHIL NATURE OF SECRETORY GRANULES IN ENDOMETRIAL CARCINOMAS WITH ARGYROPHIL CELLS | 2 |
| 15 | A STUDY OF BASEMENT MEMBRANES OF NORMAL EPITHELIUM AND INVASIVE CARCINOMA OF MOUSE UTERINE CERVIX UTILIZ~NG IMMUNOFLUORESCENT METHOD | 1 |
| 16 | Immunohistological Study of Carcinoembryonic Antigen (CEA) in Cervical Carcinomas | 1 |
| 17 | Immunohistopathological Study of Carcinoembryonic Antigen (CEA) in Ovarian Tumors | 2 |
| 18 | 0 | |
| 19 | 11 | |
| 20 | 13 |
About Gaiko Ueda
Gaiko Ueda is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Neurology, having authored 53 papers that have together received 607 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Neuroendocrine Tumor Research Advances (11 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Reproductive Medicine (192 citations), Obstetrics and Gynecology (72 citations) and Neurology (83 citations). Gaiko Ueda has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Masaki Inoue, Osamu Tanizawa, Masato Yamasaki, Yoshiaki Tanaka, K Kurachi, Junko Saito, Masumi Sawada, Masami Fujita, Masaki Inoue and Masakí Inoue. Their work appears in journals such as Cancer, American Journal of Obstetrics and Gynecology and International Journal of Cancer.
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.