T. Seno
Impact in
- Hematology top 5%
- Blood groups and transfusion
-
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 17
- Blood groups and transfusion 17
- Physiology 11
- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Yasuto Okubo (7 shared papers)Hideo Yamaguchi (10 shared papers)Takao Ando (1 shared paper)Shoko Nishihara (1 shared paper)Hisashi Narimatsu (1 shared paper)Hiroko Iwasaki (1 shared paper)Shin Yazawa (1 shared paper)Suguru Akamatsu (1 shared paper)
- Journals
- Transfusion (9 papers)Vox Sanguinis (3 papers)BMC Ophthalmology (1 paper)Journal of Biological Chemistry (1 paper)Human Heredity (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
T. Seno
22 papers receiving 446 citations
Peers
Comparison fields: 5 of 54
- Hematology 283
- Physiology 179
- Genetics 57
- Pediatrics, Perinatology and Child Health 52
- Genetics 78
Countries citing papers authored by T. Seno
This map shows the geographic impact of T. Seno'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 T. Seno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Seno more than expected).
Fields of papers citing papers by T. Seno
This network shows the impact of papers produced by T. Seno. 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 T. Seno. The network helps show where T. Seno may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Seno, 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 | 1994 | 162 | |
| 2 | 1997 | 117 | |
| 3 | 1986 | 39 | |
| 4 | 1988 | 24 | |
| 5 | 1991 | 21 | |
| 6 | 1991 | 17 | |
| 7 | Gangliosides and sialoglycoproteins carrying a rare blood group antigen determinant, Cad, associated with human cancers as detected by specific monoclonal antibodies. | 1990 | 14 |
| 8 | 1989 | 14 | |
| 9 | 2001 | 9 | |
| 10 | 1984 | 9 | |
| 11 | Genotyping for RhC/c and RhE/e by PCR using allele-specific oligonucleotide primers. | 1997 | 8 |
| 12 | 1998 | 8 | |
| 13 | 1988 | 7 | |
| 14 | 1989 | 7 | |
| 15 | 1979 | 6 | |
| 16 | 1984 | 4 | |
| 17 | 1984 | 3 | |
| 18 | 1993 | 2 | |
| 19 | 2003 | 2 | |
| 20 | 1983 | 2 |
About T. Seno
T. Seno is a scholar working on Hematology, Physiology, Biochemistry, Microbiology and Molecular Biology, having authored 24 papers that have together received 477 indexed citations. Recurring topics across this work include Blood groups and transfusion (17 papers), Erythrocyte Function and Pathophysiology (11 papers), Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune Cell Function and Interaction (2 papers), Blood transfusion and management (2 papers), Blood disorders and treatments (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Hematology (283 citations), Physiology (179 citations), Genetics (57 citations), Pediatrics, Perinatology and Child Health (52 citations) and Genetics (78 citations). T. Seno has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yasuto Okubo, Hideo Yamaguchi, Takao Ando, Shoko Nishihara, Hisashi Narimatsu, Hiroko Iwasaki, Shin Yazawa, Suguru Akamatsu, Eiji Kajii and Sadahiko Iwamoto. Their work appears in journals such as Transfusion, Vox Sanguinis, BMC Ophthalmology, Journal of Biological Chemistry and Human Heredity.
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.