Yumiko Takada
- Cancer Research top 1%
- Hematology top 1%
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Akikazu TakadaTetsumei UranoNobuo NagaiKenichi SumiyoshiYoshiaki SugawaraJulian L. AmbrusM.H. PietraszekHayato Ihara
- Topics
- Protease and Inhibitor Mechanisms (98 papers)Blood Coagulation and Thrombosis Mechanisms (49 papers)Blood properties and coagulation (42 papers)
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Yumiko Takada
211 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 1.2k
- Hematology 887
- Molecular Biology 751
- Pulmonary and Respiratory Medicine 712
- Cardiology and Cardiovascular Medicine 406
Countries citing papers authored by Yumiko Takada
This map shows the geographic impact of Yumiko Takada'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 Yumiko Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumiko Takada more than expected).
Fields of papers citing papers by Yumiko Takada
This network shows the impact of papers produced by Yumiko Takada. 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 Yumiko Takada. The network helps show where Yumiko Takada may publish in the future.
Co-authorship network of co-authors of Yumiko Takada
This figure shows the co-authorship network connecting the top 25 collaborators of Yumiko Takada. A scholar is included among the top collaborators of Yumiko Takada 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 Yumiko Takada. Yumiko Takada 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 | 16 | |
| 3 | 43 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | Peripheral and central serotonergic systems in rats subjected to footshock or water-immersion restraint stress | 16 |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 19 | |
| 15 | 5 | |
| 16 | 23 | |
| 17 | 27 | |
| 18 | Membrane characteristics of established human T- and B-cell lines. Cross-reactivity of human T-antigenic determinants with peripheral lymphocytes of non-human primates and the presence of MLC antigens on cultured T-cell lines. | 1 |
| 19 | Antigenic determinants common to established human B-cell lines, but not shared by human T-cell lines (molt and sommer). | 6 |
| 20 | 65 |
About Yumiko Takada
Yumiko Takada is a scholar working on Cancer Research, Hematology and Immunology and Allergy, having authored 217 papers that have together received 3.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (98 papers), Blood Coagulation and Thrombosis Mechanisms (49 papers) and Blood properties and coagulation (42 papers). The work is most often cited by research in Hematology (887 citations), Cancer Research (1.2k citations) and Biological Psychiatry (99 citations). Yumiko Takada has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Akikazu Takada, Tetsumei Urano, Nobuo Nagai, Kenichi Sumiyoshi, Yoshiaki Sugawara, Julian L. Ambrus, M.H. Pietraszek, Hayato Ihara, K. Serizawa and Andrzej Rydzewski. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.
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.