Motoki Nakamura
- Immunology top 5%
- Epidemiology top 5%
- Molecular Biology
- Hepatology top 2%
- Oncology top 10%
- Co-authors
- Abner Louis NotkinsAkimichi MoritaShinji ShimodaSamuele E. BurasteroPaolo CasaliY NihoKentaro HayashidaHiromi Ishibashi
- Topics
- melanin and skin pigmentation (10 papers)T-cell and Retrovirus Studies (9 papers)Skin Protection and Aging (9 papers)
- Cited by
- HepatologyImmunologyDermatology
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Motoki Nakamura
89 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 108
- Immunology 906
- Epidemiology 548
- Molecular Biology 470
- Hepatology 450
- Oncology 414
Countries citing papers authored by Motoki Nakamura
This map shows the geographic impact of Motoki 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 Motoki Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Motoki Nakamura more than expected).
Fields of papers citing papers by Motoki Nakamura
This network shows the impact of papers produced by Motoki 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 Motoki Nakamura. The network helps show where Motoki Nakamura may publish in the future.
Co-authorship network of co-authors of Motoki Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Motoki Nakamura. A scholar is included among the top collaborators of Motoki Nakamura 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 Motoki Nakamura. Motoki Nakamura 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 143 | |
| 13 | 10 | |
| 14 | Association of c.*372_815del443ins54 Polymorphism in the ARMS2 (LOC387715) Gene With Neovascular Age-Related Macular Degeneration (AMD) and Polypoidal Choroidal Vasculopathy (PCV) in a Japanese Population | 1 |
| 15 | Coexistence of familial Mediterranean fever and Sjögren's syndrome in a Japanese patient. | 17 |
| 16 | 212 | |
| 17 | 12 | |
| 18 | 250 | |
| 19 | [Pharmacokinetic and clinical study of cefpirome in children]. | 1 |
| 20 | 162 |
About Motoki Nakamura
Motoki Nakamura is a scholar working on Dermatology, Immunology and Oncology, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include melanin and skin pigmentation (10 papers), T-cell and Retrovirus Studies (9 papers) and Skin Protection and Aging (9 papers). The work is most often cited by research in Hepatology (450 citations), Immunology (906 citations) and Dermatology (225 citations). Motoki Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Abner Louis Notkins, Akimichi Morita, Shinji Shimoda, Samuele E. Burastero, Paolo Casali, Y Niho, Kentaro Hayashida, Hiromi Ishibashi, Eishi Baba and Yoshiyuki Niho. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.