T. Seno
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Physiology top 10%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 16
- Blood groups and transfusion 16
- Physiology 12
- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Yasuto OkuboTakao AndoHiroko IwasakiShoko NishiharaShin YazawaSuguru AkamatsuHisashi NarimatsuHideo Yamaguchi
- Journals
- Transfusion (7 papers)Annals of the Rheumatic Diseases (5 papers)Vox Sanguinis (3 papers)Annals of Hematology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited KingdomChina
In The Last Decade
T. Seno
24 papers receiving 404 citations
Peers
Comparison fields: 5 of 52
- Hematology 257
- Physiology 192
- Genetics 63
- Genetics 78
- Immunology 52
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2016 | 2 | |
| 4 | 2013 | 1 | |
| 5 | 2001 | 8 | |
| 6 | 1998 | 5 | |
| 7 | 1997 | 109 | |
| 8 | Genotyping for RhC/c and RhE/e by PCR using allele-specific oligonucleotide primers. | 1997 | 8 |
| 9 | 1993 | 2 | |
| 10 | Gangliosides and sialoglycoproteins carrying a rare blood group antigen determinant, Cad, associated with human cancers as detected by specific monoclonal antibodies. | 1990 | 12 |
| 11 | 1989 | 11 | |
| 12 | 1989 | 7 | |
| 13 | 1988 | 0 | |
| 14 | 1988 | 23 | |
| 15 | 1988 | 7 | |
| 16 | 1986 | 35 | |
| 17 | 1984 | 3 | |
| 18 | 1983 | 1 | |
| 19 | 1979 | 5 | |
| 20 | 1968 | 1 |
About T. Seno
T. Seno is a scholar working on Hematology, Physiology, Microbiology, Immunology and Biochemistry, having authored 25 papers that have together received 414 indexed citations. Recurring topics across this work include Blood groups and transfusion (16 papers), Erythrocyte Function and Pathophysiology (11 papers), Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Immune Cell Function and Interaction (2 papers), Microbial infections and disease research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Hematology (257 citations), Physiology (192 citations), Genetics (63 citations), Genetics (78 citations) and Immunology (52 citations). T. Seno has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yasuto Okubo, Takao Ando, Hiroko Iwasaki, Shoko Nishihara, Shin Yazawa, Suguru Akamatsu, Hisashi Narimatsu, Hideo Yamaguchi, Eiji Kajii and Sadahiko Iwamoto. Their work appears in journals such as Transfusion, Annals of the Rheumatic Diseases, Vox Sanguinis, Annals of Hematology and Journal of Biological Chemistry.
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.