Naoki Kageyama
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Neurology top 2%
- Genetics top 2%
- Molecular Biology
- Co-authors
- Jun YoshidaAkio KuwayamaTatsuya KobayashiMasao WatanabeIsao YamamotoMasato ShibuyaYoshihisa KidaS. Nakamura
- Topics
- Pituitary Gland Disorders and Treatments (37 papers)Glioma Diagnosis and Treatment (25 papers)Cerebrospinal fluid and hydrocephalus (23 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismNeurology
- Partner nations
- JapanGreeceUnited Kingdom
In The Last Decade
Naoki Kageyama
135 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 732
- Surgery 565
- Neurology 563
- Genetics 521
- Molecular Biology 343
Countries citing papers authored by Naoki Kageyama
This map shows the geographic impact of Naoki Kageyama'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 Naoki Kageyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Kageyama more than expected).
Fields of papers citing papers by Naoki Kageyama
This network shows the impact of papers produced by Naoki Kageyama. 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 Naoki Kageyama. The network helps show where Naoki Kageyama may publish in the future.
Co-authorship network of co-authors of Naoki Kageyama
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kageyama. A scholar is included among the top collaborators of Naoki Kageyama 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 Naoki Kageyama. Naoki Kageyama 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 | 6 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 35 | |
| 8 | 87 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | [Combination therapy with IFN-beta, ACNU and radiation (IAR) in malignant brain tumors]. | 8 |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 15 | |
| 16 | 10 | |
| 17 | Follow-up study with computerized tomography during and after irradiation in patients with pineal tumors | 2 |
| 18 | 1 | |
| 19 | [Clinical problems of pituitary adenoma and craniopharyngioma]. | 1 |
| 20 | Immunoelectrophoretic Analysis of Serum Proteins in the Edematous Brain Tissue | 1 |
About Naoki Kageyama
Naoki Kageyama is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 147 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (37 papers), Glioma Diagnosis and Treatment (25 papers) and Cerebrospinal fluid and hydrocephalus (23 papers). The work is most often cited by research in Genetics (521 citations), Endocrinology, Diabetes and Metabolism (732 citations) and Neurology (563 citations). Naoki Kageyama has collaborated with scholars based in Japan, Greece and United Kingdom. Frequent co-authors include Jun Yoshida, Akio Kuwayama, Tatsuya Kobayashi, Masao Watanabe, Isao Yamamoto, Masato Shibuya, Yoshihisa Kida, S. Nakamura, Tatsuya Kobayashi and Takeichiro Nakane. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and 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.