Y. Takeda
- Pulmonary and Respiratory Medicine
- Hematology top 10%
- Cardiology and Cardiovascular Medicine
- Surgery
- Molecular Biology
- Co-authors
- E. B. ReeveNorio KobayashiMasao NakabayashiToshio NishikimiHirotsugu FukudaNaoto MinaminoToshihiko IshimitsuYu Horiuchi
- Topics
- Blood properties and coagulation (5 papers)Blood Coagulation and Thrombosis Mechanisms (5 papers)Enzyme Production and Characterization (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Y. Takeda
24 papers receiving 321 citations
Peers
Comparison fields: 5 of 79
- Pulmonary and Respiratory Medicine 107
- Hematology 80
- Cardiology and Cardiovascular Medicine 63
- Surgery 55
- Molecular Biology 45
Countries citing papers authored by Y. Takeda
This map shows the geographic impact of Y. Takeda'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 Y. Takeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Takeda more than expected).
Fields of papers citing papers by Y. Takeda
This network shows the impact of papers produced by Y. Takeda. 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 Y. Takeda. The network helps show where Y. Takeda may publish in the future.
Co-authorship network of co-authors of Y. Takeda
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Takeda. A scholar is included among the top collaborators of Y. Takeda 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 Y. Takeda. Y. Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 11 | |
| 3 | 3 | |
| 4 | [Estimation of 1-hexylcarbamoyl-5-fluorouracil (HCFU) and 5-FU concentrations in sera and resected specimens from patients with ovarian tumors]. | 0 |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Studies of the effects of heparin, Coumadin, and vitamin K on prothrombin metabolism and distribution in calves with the use of iodine-125-prothrombin. Characterization of the prothrombin system. | 11 |
| 16 | Studies of the metabolism and distribution of fibrinogen in patients with rheumatoid arthritis. | 23 |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | Distribution and excretion of I-131-iodide in men on pharmacologic doses of iodides. | 12 |
About Y. Takeda
Y. Takeda is a scholar working on Equine, Biotechnology and Hematology, having authored 27 papers that have together received 367 indexed citations. Recurring topics across this work include Blood properties and coagulation (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Hematology (80 citations), Critical Care and Intensive Care Medicine (21 citations) and Internal Medicine (13 citations). Y. Takeda has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include E. B. Reeve, Norio Kobayashi, Masao Nakabayashi, Toshio Nishikimi, Hirotsugu Fukuda, Naoto Minamino, Toshihiko Ishimitsu, Yu Horiuchi, Masashi Ikeda and Ikuko Shibasaki. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology and Heart.
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.