Tetsuo Nakamura
- Immunology top 5%
- Epidemiology top 10%
- Biochemistry top 2%
- Molecular Biology
- Hepatology top 5%
- Co-authors
- Mercedes RincónRichard A. FlavellJuan AnguítaErol FikrigToshio TakizawaNaomi OsakabeMidori NatsumeSeigo Baba
- Topics
- Monoclonal and Polyclonal Antibodies Research (10 papers)Algebraic Geometry and Number Theory (7 papers)Hepatitis B Virus Studies (5 papers)
- Cited by
- BiochemistryHepatologyImmunology
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Tetsuo Nakamura
61 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Immunology 546
- Epidemiology 409
- Biochemistry 299
- Molecular Biology 256
- Hepatology 215
Countries citing papers authored by Tetsuo Nakamura
This map shows the geographic impact of Tetsuo 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 Tetsuo Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Nakamura more than expected).
Fields of papers citing papers by Tetsuo Nakamura
This network shows the impact of papers produced by Tetsuo 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 Tetsuo Nakamura. The network helps show where Tetsuo Nakamura may publish in the future.
Co-authorship network of co-authors of Tetsuo Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Nakamura. A scholar is included among the top collaborators of Tetsuo 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 Tetsuo Nakamura. Tetsuo 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 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 11 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | Molecular Cloning of PCR Amplified BMP-Related Genes (GDF-5,6 and 7) from Rat Tooth Cells Using Modified pBluescript SK_+Vector | 3 |
| 16 | 8 | |
| 17 | 83 | |
| 18 | Method of Evaluating Measurement Error of Three-Coordinate Measuring Machines | 1 |
| 19 | 0 | |
| 20 | 0 |
About Tetsuo Nakamura
Tetsuo Nakamura is a scholar working on Algebra and Number Theory, Geometry and Topology and Discrete Mathematics and Combinatorics, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Algebraic Geometry and Number Theory (7 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Biochemistry (299 citations), Hepatology (215 citations) and Immunology (546 citations). Tetsuo Nakamura has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Mercedes Rincón, Richard A. Flavell, Juan Anguíta, Erol Fikrig, Toshio Takizawa, Naomi Osakabe, Midori Natsume, Seigo Baba, Akiko Yasuda and Kiyoshi Yasuda. Their work appears in journals such as The Journal of Experimental Medicine, Applied Physics Letters and The Journal of Immunology.
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.