Tetsumei Urano
- Cancer Research top 1%
- Hematology top 0.5%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Akikazu TakadaYumiko TakadaYuko SuzukiHayato IharaKazuo UmemuraNobuo NagaiFrancis CastellinoAtsuhiko Sato
- Topics
- Protease and Inhibitor Mechanisms (90 papers)Blood Coagulation and Thrombosis Mechanisms (73 papers)Blood properties and coagulation (40 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tetsumei Urano
230 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 1.3k
- Hematology 1.2k
- Molecular Biology 1.2k
- Pulmonary and Respiratory Medicine 1.1k
- Cardiology and Cardiovascular Medicine 592
Countries citing papers authored by Tetsumei Urano
This map shows the geographic impact of Tetsumei Urano'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 Tetsumei Urano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsumei Urano more than expected).
Fields of papers citing papers by Tetsumei Urano
This network shows the impact of papers produced by Tetsumei Urano. 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 Tetsumei Urano. The network helps show where Tetsumei Urano may publish in the future.
Co-authorship network of co-authors of Tetsumei Urano
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsumei Urano. A scholar is included among the top collaborators of Tetsumei Urano 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 Tetsumei Urano. Tetsumei Urano 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 | 5 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 20 | |
| 8 | 51 | |
| 9 | Secretory dynamics of tPA and its modulation by PAI-1 in vascular endothelial cells : regulation of fibrinolytic activity on vascular endothelial cells and in plasma | 1 |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 73 | |
| 14 | 135 | |
| 15 | 49 | |
| 16 | 124 | |
| 17 | Peripheral and central serotonergic systems in rats subjected to footshock or water-immersion restraint stress | 16 |
| 18 | 4 | |
| 19 | 20 | |
| 20 | 11 |
About Tetsumei Urano
Tetsumei Urano is a scholar working on Hematology, Cancer Research and Internal Medicine, having authored 239 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (90 papers), Blood Coagulation and Thrombosis Mechanisms (73 papers) and Blood properties and coagulation (40 papers). The work is most often cited by research in Hematology (1.2k citations), Internal Medicine (333 citations) and Cancer Research (1.3k citations). Tetsumei Urano has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akikazu Takada, Yumiko Takada, Yuko Suzuki, Hayato Ihara, Kazuo Umemura, Nobuo Nagai, Francis Castellino, Yumiko Takada, Akikazu Takada and Atsuhiko Sato. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.