Seiji Nakamura
- Surgery top 1%
- Molecular Biology top 5%
- Rheumatology top 0.5%
- Oncology top 2%
- Epidemiology top 2%
- Co-authors
- Masafumi MoriyamaTakashi MaeharaMasanori ShinoharaAkihiko TanakaShintaro KawanoJun‐Nosuke HayashidaYukiko OhyamaHitoshi Nakashima
- Topics
- Salivary Gland Tumors Diagnosis and Treatment (46 papers)IgG4-Related and Inflammatory Diseases (39 papers)Oral and Maxillofacial Pathology (33 papers)
- Cited by
- RheumatologyPeriodonticsOral Surgery
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Seiji Nakamura
373 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 172
- Surgery 2.0k
- Molecular Biology 2.0k
- Rheumatology 1.8k
- Oncology 1.5k
- Epidemiology 1.1k
Countries citing papers authored by Seiji Nakamura
This map shows the geographic impact of Seiji 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 Seiji Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Nakamura more than expected).
Fields of papers citing papers by Seiji Nakamura
This network shows the impact of papers produced by Seiji 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 Seiji Nakamura. The network helps show where Seiji Nakamura may publish in the future.
Co-authorship network of co-authors of Seiji Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Nakamura. A scholar is included among the top collaborators of Seiji 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 Seiji Nakamura. Seiji 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 59 | |
| 12 | 18 | |
| 13 | Assessment of Cytotoxicity of Imatinib for Oral Squamous CellCarcinoma by a Real-Time Cell Analysis System. | 1 |
| 14 | 2 | |
| 15 | 51 | |
| 16 | Dentigerous cyst in primary dentition: case report of a 4-year-old girl. | 7 |
| 17 | 5 | |
| 18 | Plasmid profiles of lactose-, citrate- and proteinase-negative mutants of Lactococcus lactis subsp. lactis biovar diacetylactis strain N-7 | 1 |
| 19 | 47 | |
| 20 | 14 |
About Seiji Nakamura
Seiji Nakamura is a scholar working on Oral Surgery, Periodontics and Rheumatology, having authored 409 papers that have together received 7.7k indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (46 papers), IgG4-Related and Inflammatory Diseases (39 papers) and Oral and Maxillofacial Pathology (33 papers). The work is most often cited by research in Rheumatology (1.8k citations), Periodontics (409 citations) and Oral Surgery (534 citations). Seiji Nakamura has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Masafumi Moriyama, Takashi Maehara, Masanori Shinohara, Akihiko Tanaka, Shintaro Kawano, Jun‐Nosuke Hayashida, Yukiko Ohyama, Hitoshi Nakashima, Shinichi Kurahara and Tamotsu Kiyoshima. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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.