T. Seno

24 papers and 402 indexed citations i.

About

T. Seno is a scholar working on Hematology, Physiology and Molecular Biology. According to data from OpenAlex, T. Seno has authored 24 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 12 papers in Physiology and 8 papers in Molecular Biology. Recurrent topics in T. Seno’s work include Blood groups and transfusion (16 papers), Erythrocyte Function and Pathophysiology (11 papers) and Glycosylation and Glycoproteins Research (6 papers). T. Seno is often cited by papers focused on Blood groups and transfusion (16 papers), Erythrocyte Function and Pathophysiology (11 papers) and Glycosylation and Glycoproteins Research (6 papers). T. Seno collaborates with scholars based in Japan, United Kingdom and China. T. Seno's co-authors include Yasuto Okubo, Takao Ando, Hiroko Iwasaki, Hisashi Narimatsu, Shin Yazawa, Shoko Nishihara, Suguru Akamatsu, Hideo Yamaguchi, Eiji Kajii and Hiroshi Okuda and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Annals of the Rheumatic Diseases.

In The Last Decade

Co-authorship network of co-authors of T. Seno i

Fields of papers citing papers by T. Seno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by T. Seno

Since Specialization
Citations

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).

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.

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2025