Y Kawai
- Hematology top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Internal Medicine top 2%
- Surgery
- Co-authors
- Makoto HandaMitsuru MurataKazuhiro WatanabeY. IkedaHironobu AnboYusuke ArakiK KawanoIchiro Itagaki
- Topics
- Platelet Disorders and Treatments (8 papers)Acute Myeloid Leukemia Research (6 papers)Venous Thromboembolism Diagnosis and Management (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Y Kawai
35 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Hematology 636
- Cardiology and Cardiovascular Medicine 320
- Molecular Biology 257
- Internal Medicine 211
- Surgery 194
Countries citing papers authored by Y Kawai
This map shows the geographic impact of Y Kawai'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 Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Kawai more than expected).
Fields of papers citing papers by Y Kawai
This network shows the impact of papers produced by Y Kawai. 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 Kawai. The network helps show where Y Kawai may publish in the future.
Co-authorship network of co-authors of Y Kawai
This figure shows the co-authorship network connecting the top 25 collaborators of Y Kawai. A scholar is included among the top collaborators of Y Kawai 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 Kawai. Y Kawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 13 | |
| 4 | 49 | |
| 5 | 102 | |
| 6 | 5 | |
| 7 | [Accuracy, precision and clinically acceptable level of complete blood cell count by an automated multichannel hematology analyzer]. | 2 |
| 8 | 79 | |
| 9 | 11 | |
| 10 | 6 | |
| 11 | [Effect of shear stress on hemostatic regulation in endothelium]. | 2 |
| 12 | 36 | |
| 13 | 32 | |
| 14 | [Extramedullary diseases as presenting features of aleukemic acute monocytic leukemia]. | 0 |
| 15 | The role of von Willebrand factor and fibrinogen in platelet aggregation under varying shear stress.breakdown → | 512 |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 38 | |
| 19 | Role of membrane glycoproteins in the interaction of blood platelets with the vessel wall--the study on platelet adhesion to in vitro cultured subendothelial matrix. | 3 |
| 20 | 48 |
About Y Kawai
Y Kawai is a scholar working on Internal Medicine, Hematology and Genetics, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Acute Myeloid Leukemia Research (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Hematology (636 citations), Internal Medicine (211 citations) and Immunology and Allergy (101 citations). Y Kawai has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Makoto Handa, Mitsuru Murata, Kazuhiro Watanabe, Y. Ikeda, Hironobu Anbo, Yusuke Araki, K Kawano, Ichiro Itagaki, Tamihiro Kamata and Takeshi Fuji. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Cell Biology 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.