Ryuichi Yabe
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 17
- Blood groups and transfusion 17
- Physiology 11
- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Makoto Uchikawa (14 shared papers)Kenichi Ogasawara (14 shared papers)Katsushi Tokunaga (6 shared papers)Makoto Bannai (6 shared papers)Michiko Takenaka (5 shared papers)Kenichi Nakata (5 shared papers)Takeo Juji (4 shared papers)Yoshihide Ishikawa (3 shared papers)
- Journals
- Vox Sanguinis (7 papers)Transfusion Medicine (3 papers)Transfusion (2 papers)Human Genetics (2 papers)Annals of Hematology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Ryuichi Yabe
24 papers receiving 702 citations
Peers
Comparison fields: 5 of 61
- Hematology 455
- Physiology 193
- Genetics 68
- Immunology 93
- Transplantation 11
Countries citing papers authored by Ryuichi Yabe
This map shows the geographic impact of Ryuichi Yabe'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 Ryuichi Yabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryuichi Yabe more than expected).
Fields of papers citing papers by Ryuichi Yabe
This network shows the impact of papers produced by Ryuichi Yabe. 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 Ryuichi Yabe. The network helps show where Ryuichi Yabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryuichi Yabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 139 | |
| 2 | 2008 | 112 | |
| 3 | 1996 | 105 | |
| 4 | 2001 | 66 | |
| 5 | 2006 | 54 | |
| 6 | 1998 | 43 | |
| 7 | 1998 | 39 | |
| 8 | 2001 | 39 | |
| 9 | 2007 | 35 | |
| 10 | 2004 | 15 | |
| 11 | 1995 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 1996 | 10 | |
| 15 | 2016 | 10 | |
| 16 | 1996 | 10 | |
| 17 | 1989 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 4 | |
| 20 | 2004 | 4 |
About Ryuichi Yabe
Ryuichi Yabe is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Genetics, having authored 24 papers that have together received 744 indexed citations. Recurring topics across this work include Blood groups and transfusion (17 papers), Erythrocyte Function and Pathophysiology (11 papers), Glycosylation and Glycoproteins Research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Innovations in Aquaponics and Hydroponics Systems (2 papers), Galectins and Cancer Biology (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Hematology (455 citations), Physiology (193 citations), Genetics (68 citations), Immunology (93 citations) and Transplantation (11 citations). Ryuichi Yabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Makoto Uchikawa, Kenichi Ogasawara, Katsushi Tokunaga, Makoto Bannai, Michiko Takenaka, Kenichi Nakata, Takeo Juji, Yoshihide Ishikawa, Naruya Saitou and Kiyoshi Fujisawa. Their work appears in journals such as Vox Sanguinis, Transfusion Medicine, Transfusion, Human Genetics and Annals of Hematology.
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.