N Tamura
- Immunology top 10%
- Hematology top 5%
- Molecular Biology
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- T FujitaK IidaTakatoshi InoueTakaichi ShimozatoMasayuki IwataTakuya FujitaAkiko ShimadaAtsuo Nakagawa
- Topics
- Complement system in diseases (11 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Glycosylation and Glycoproteins Research (3 papers)
- Cited by
- ImmunologyHematologyNephrology
- Journals
- The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- JapanUnited States
In The Last Decade
N Tamura
32 papers receiving 793 citations
Peers
Comparison fields: 5 of 103
- Immunology 410
- Hematology 192
- Molecular Biology 122
- Oncology 115
- Radiology, Nuclear Medicine and Imaging 84
Countries citing papers authored by N Tamura
This map shows the geographic impact of N Tamura'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 N Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Tamura more than expected).
Fields of papers citing papers by N Tamura
This network shows the impact of papers produced by N Tamura. 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 N Tamura. The network helps show where N Tamura may publish in the future.
Co-authorship network of co-authors of N Tamura
This figure shows the co-authorship network connecting the top 25 collaborators of N Tamura. A scholar is included among the top collaborators of N Tamura 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 N Tamura. N Tamura 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 | 7 | |
| 3 | 130 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 24 | |
| 12 | 44 | |
| 13 | 165 | |
| 14 | C4 nephritic factor in a patient with chronic glomerulonephritis. | 10 |
| 15 | 28 | |
| 16 | 34 | |
| 17 | 44 | |
| 18 | Reaction of an activated complex of guinea-pig complement components, C56, with unsensitized erythrocytes and with erythrocytes carrying C3b molecule. | 6 |
| 19 | Comparison of inhibition of the action of C1 on C4 by two synthetic substrates of C1 esterase, TAMe and ATEe. | 3 |
| 20 | The ninth component of guinea-pig complement. Isolation and identification as an alpha 2-globulin. | 14 |
About N Tamura
N Tamura is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Nephrology, having authored 34 papers that have together received 841 indexed citations. Recurring topics across this work include Complement system in diseases (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (410 citations), Hematology (192 citations) and Nephrology (74 citations). N Tamura has collaborated with scholars based in Japan and United States. Frequent co-authors include T Fujita, K Iida, Takatoshi Inoue, Takaichi Shimozato, Masayuki Iwata, Takuya Fujita, Akiko Shimada, Atsuo Nakagawa, Y. Takata and Daisuke Fujisawa. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología 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.