Hidetoshi Ikeda
Impact in
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Rheumatology top 2%
- Moyamoya disease diagnosis and treatment
Papers in
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- Pituitary Gland Disorders and Treatments 65
- Growth Hormone and Insulin-like Growth Factors 35
- Genetics 17
- Glioma Diagnosis and Treatment 15
- Virus-based gene therapy research 7
- Co-authors
- Takashi YoshimotoTadao ArinamiToru SasakiMasashi FukuiTakeshi OdakaTaichiro YoshimotoJirô SuzukiTeiji Tominaga
- Journals
- Neurologia medico-chirurgica (5 papers)European Radiology (3 papers)International Journal of Cancer (3 papers)Clinical Neurology and Neurosurgery (3 papers)Acta Neuropathologica (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hidetoshi Ikeda
121 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 827
- Rheumatology 504
- Genetics 349
- Neurology 447
- Psychiatry and Mental health 279
Countries citing papers authored by Hidetoshi Ikeda
This map shows the geographic impact of Hidetoshi Ikeda'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 Hidetoshi Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Ikeda more than expected).
Fields of papers citing papers by Hidetoshi Ikeda
This network shows the impact of papers produced by Hidetoshi Ikeda. 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 Hidetoshi Ikeda. The network helps show where Hidetoshi Ikeda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hidetoshi Ikeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 6 | |
| 2 | 2015 | 21 | |
| 3 | Demonstration of improved surgical outcome in patients with both ACTH and GH secreting adenomas diagnosed by a new sensitive method of MET-PET fusion 3T-MRI | 2013 | 1 |
| 4 | 2013 | 33 | |
| 5 | 2012 | 3 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 7 | |
| 8 | 2008 | 122 | |
| 9 | 2007 | 8 | |
| 10 | 2006 | 4 | |
| 11 | 2006 | 7 | |
| 12 | 2005 | 13 | |
| 13 | 2002 | 40 | |
| 14 | 1999 | 199 | |
| 15 | 1997 | 43 | |
| 16 | 1995 | 18 | |
| 17 | 1995 | 8 | |
| 18 | 1992 | 9 | |
| 19 | 1990 | 105 | |
| 20 | 1988 | 68 |
About Hidetoshi Ikeda
Hidetoshi Ikeda is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Neurology, Virology and Rheumatology, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (65 papers), Growth Hormone and Insulin-like Growth Factors (35 papers), Glioma Diagnosis and Treatment (15 papers), Adrenal and Paraganglionic Tumors (13 papers), Virus-based gene therapy research (7 papers), Hedgehog Signaling Pathway Studies (6 papers), TGF-β signaling in diseases (6 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (827 citations), Rheumatology (504 citations), Genetics (349 citations), Neurology (447 citations) and Psychiatry and Mental health (279 citations). Hidetoshi Ikeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Yoshimoto, Tadao Arinami, Toru Sasaki, Masashi Fukui, Takeshi Odaka, Taichiro Yoshimoto, Jirô Suzuki, Teiji Tominaga, Hiroshi Niizuma and Akio Matsuzawa. Their work appears in journals such as Neurologia medico-chirurgica, European Radiology, International Journal of Cancer, Clinical Neurology and Neurosurgery and Acta Neuropathologica.
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.