Noriko Tamura
- Molecular Biology top 10%
- Neurology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Ecology top 5%
- Hematology top 2%
- Co-authors
- Shinya GotoTomohiro TamuraFumio HayashiTakamichi HattoriSatoshi KuwabaraSonoko MisawaMiho NakataKazuaki Kanai
- Topics
- Animal Ecology and Behavior Studies (41 papers)Platelet Disorders and Treatments (22 papers)Plant and animal studies (18 papers)
- Journals
- ScienceCellCirculation
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Noriko Tamura
174 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 832
- Neurology 608
- Cardiology and Cardiovascular Medicine 487
- Ecology 481
- Hematology 480
Countries citing papers authored by Noriko Tamura
This map shows the geographic impact of Noriko 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 Noriko Tamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriko Tamura more than expected).
Fields of papers citing papers by Noriko Tamura
This network shows the impact of papers produced by Noriko 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 Noriko Tamura. The network helps show where Noriko Tamura may publish in the future.
Co-authorship network of co-authors of Noriko Tamura
This figure shows the co-authorship network connecting the top 25 collaborators of Noriko Tamura. A scholar is included among the top collaborators of Noriko 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 Noriko Tamura. Noriko 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 | 4 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | Usefulness of the Touch Panel-type Dementia Assessment Scale (TDAS) and Evaluation of Correlation between Hemoglobin A1c and TDAS in Middle-Aged and Older Women | 2 |
| 6 | 12 | |
| 7 | Possible mechanism of preventive effects of coffee intake on the formation of arterial occlusive thrombosis. | 4 |
| 8 | 36 | |
| 9 | Important Regulatory Role of Activated Platelet-Derived Procoagulant Activity in the Propagation of Thrombi Formed Under Arterial Blood Flow Conditions(Vascular Medicine) | 2 |
| 10 | 44 | |
| 11 | 17 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | Latest strategy of Gamma knife surgery for essential trigeminal neuralgia : Robotized micro-radiosurgery based on the evaluation and analysis of 220 patients experience | 1 |
| 15 | 77 | |
| 16 | 75 | |
| 17 | 10 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 8 |
About Noriko Tamura
Noriko Tamura is a scholar working on Developmental Biology, Hematology and Neurology, having authored 183 papers that have together received 3.4k indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (41 papers), Platelet Disorders and Treatments (22 papers) and Plant and animal studies (18 papers). The work is most often cited by research in Hematology (480 citations), Developmental Biology (92 citations) and Neurology (608 citations). Noriko Tamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shinya Goto, Tomohiro Tamura, Fumio Hayashi, Takamichi Hattori, Satoshi Kuwabara, Sonoko Misawa, Miho Nakata, Kazuaki Kanai, Wolfgang Baumeister and Hideyuki Ishida. Their work appears in journals such as Science, Cell and Circulation.
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.