Makoto Nakamura
- Ophthalmology top 0.05%
- Retinal Diseases and Treatments 131
- Glaucoma and retinal disorders 128
- Ocular Diseases and Behçet’s Syndrome 31
- Retinal and Optic Conditions 29
- Physiology top 0.2%
-
- Retinal Imaging and Analysis 40
- Corneal surgery and disorders 39
- Retinal and Macular Surgery 33
- Orthodontics top 2%
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- Retinal Development and Disorders 68
- Co-authors
- Akira NegiAkiyasu KanamoriHiroko TerasakiHidetaka MaedaYuko YamadaYoshitaka NagahamaYozo MiyakeThomas W. Gardner
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Makoto Nakamura
469 papers receiving 8.7k citations
Peers
Comparison fields: 5 of 170
- Ophthalmology 4.1k
- Physiology 603
- Radiology, Nuclear Medicine and Imaging 2.4k
- Orthodontics 212
- Cellular and Molecular Neuroscience 767
Countries citing papers authored by Makoto Nakamura
This map shows the geographic impact of Makoto Nakamura'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 Makoto Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makoto Nakamura more than expected).
Fields of papers citing papers by Makoto Nakamura
This network shows the impact of papers produced by Makoto Nakamura. 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 Makoto Nakamura. The network helps show where Makoto Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makoto Nakamura, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 0 | |
| 10 | Comparison of the Accuracy of Intraoperative Aberrometry in Intraocular Lens Implantation Between Myopic Eyes with Emmetropia and Myopia Targets | 2022 | 3 |
| 11 | 2021 | 13 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 8 | |
| 15 | Ripasudil Hydrochloride Hydrate in the Treatment of Glaucoma: Safety, Efficacy, and Patient Selection | 2020 | 4 |
| 16 | 2019 | 7 | |
| 17 | 2018 | 23 | |
| 18 | 2017 | 9 | |
| 19 | Prevalence of Mutations in Nine Candidate Genes in Japanese Patients with Autosomal Dominant Retinitis Pigmentosa | 2004 | 1 |
| 20 | The properties of monoclonal antibody to Habutobin, a thrombin-like enzyme (TLE) derived from the venom of Trimeresurus flavoviridis (Habu) | 1992 | 5 |
About Makoto Nakamura
Makoto Nakamura is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 498 papers that have together received 9.0k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (131 papers), Glaucoma and retinal disorders (128 papers), Retinal Development and Disorders (68 papers), Retinal Imaging and Analysis (40 papers), Corneal surgery and disorders (39 papers), Retinal and Macular Surgery (33 papers), Ocular Diseases and Behçet’s Syndrome (31 papers) and Retinal and Optic Conditions (29 papers). The work is most often cited by research in Ophthalmology (4.1k citations), Physiology (603 citations) and Radiology, Nuclear Medicine and Imaging (2.4k citations). Makoto Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Akira Negi, Akiyasu Kanamori, Hiroko Terasaki, Hidetaka Maeda, Yuko Yamada, Yoshitaka Nagahama, Yozo Miyake, Thomas W. Gardner, Yasuhisa Kobayashi and Sentaro Kusuhara.
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.