Hidetaka Noma
- Ophthalmology top 0.05%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology
- Neurology top 5%
- Immunology
- Co-authors
- Tatsuya MimuraHideharu FunatsuSadao HoriHidetoshi YamashitaMasahiko ShimuraKanako YasudaShuichiro EguchiSeiyo Harino
- Topics
- Retinal Diseases and Treatments (118 papers)Retinal Imaging and Analysis (54 papers)Retinal and Optic Conditions (53 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Hidetaka Noma
125 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Ophthalmology 4.0k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Molecular Biology 593
- Neurology 300
- Immunology 165
Countries citing papers authored by Hidetaka Noma
This map shows the geographic impact of Hidetaka Noma'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 Hidetaka Noma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetaka Noma more than expected).
Fields of papers citing papers by Hidetaka Noma
This network shows the impact of papers produced by Hidetaka Noma. 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 Hidetaka Noma. The network helps show where Hidetaka Noma may publish in the future.
Co-authorship network of co-authors of Hidetaka Noma
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Noma. A scholar is included among the top collaborators of Hidetaka Noma 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 Hidetaka Noma. Hidetaka Noma 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 | 13 | |
| 3 | Dynamics of inflammatory factors in aqueous humor under Ranibizumab or Aflibercept treatment for age-related macular degeneration | 1 |
| 4 | 8 | |
| 5 | 12 | |
| 6 | Role of Soluble Vascular Endothelial Growth Factor Receptor Signaling and Other Factors or Cytokines in Diabetic Macular Edema | 1 |
| 7 | 14 | |
| 8 | 19 | |
| 9 | Dynamic change of aqueous concentrations of VEGF and its soluble receptors during the treatment of aflibercept in patients with age-related macular degeneration | 0 |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | 25 | |
| 14 | 20 | |
| 15 | 24 | |
| 16 | 13 | |
| 17 | 27 | |
| 18 | 15 | |
| 19 | 311 | |
| 20 | Ultrastructure of basal cell adenoma in the parotid gland. | 1 |
About Hidetaka Noma
Hidetaka Noma is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 130 papers that have together received 4.4k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (118 papers), Retinal Imaging and Analysis (54 papers) and Retinal and Optic Conditions (53 papers). The work is most often cited by research in Ophthalmology (4.0k citations), Radiology, Nuclear Medicine and Imaging (2.4k citations) and Neurology (300 citations). Hidetaka Noma has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Tatsuya Mimura, Hideharu Funatsu, Sadao Hori, Hidetoshi Yamashita, Masahiko Shimura, Kanako Yasuda, Shuichiro Eguchi, Seiyo Harino, Katsunori Shimada and Hiromu K. Mishima. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Ophthalmology.
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.