Tsukasa Seya

1.0k citations
12 papers · 869 indexed · 1 hit paper · h-index 8
Topics
Complement system in diseases (6 papers)Immune Response and Inflammation (3 papers)RNA Interference and Gene Delivery (3 papers)
Partner nations
JapanItalyUnited States

In The Last Decade

Tsukasa Seya

12 papers receiving 856 citations

Hit Papers

TLR3: Interferon induction by double-stranded RNA includi...20082026201420202008100200300400500

Peers

Tsukasa Seya
Comparison fields: 5 of 86
  • Immunology 563
  • Molecular Biology 249
  • Epidemiology 148
  • Surgery 99
  • Genetics 87
Replace Colette Kanellopoulos‐Langevin with:
Colette Kanellopoulos‐Langevin France
Henry Hess Germany
Mohammed Oukka United States
S K Narula United States
Sofia V. Gearty United States
Andrea Iellem Italy
Anne‐Sophie Bergot Australia
Javier Cote-Sierra United States
Silvia Ariotti Italy
Kate S. Smigiel United States
Tsukasa Seya relative to Colette Kanellopoulos‐Langevin France Colette Kanellopoulos‐Langevin's profile →
Citations per field
00.5×3.8×
Colette Kanellopoulos‐Langevin · 1×
Citations per year

Countries citing papers authored by Tsukasa Seya

Since Specialization
Citations

This map shows the geographic impact of Tsukasa Seya'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 Tsukasa Seya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsukasa Seya more than expected).

Fields of papers citing papers by Tsukasa Seya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsukasa Seya. 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 Tsukasa Seya. The network helps show where Tsukasa Seya may publish in the future.

Co-authorship network of co-authors of Tsukasa Seya

This figure shows the co-authorship network connecting the top 25 collaborators of Tsukasa Seya. A scholar is included among the top collaborators of Tsukasa Seya 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 Tsukasa Seya. Tsukasa Seya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1
TLR3: Interferon induction by double-stranded RNA including poly(I:C)☆breakdown →
562
2 5
3 7
4 33
5 4
6 19
7 48
8 1
9 45
10 19
11 105
12 21

About Tsukasa Seya

Tsukasa Seya is a scholar working on Immunology, Hematology and Nephrology, having authored 12 papers that have together received 869 indexed citations. Recurring topics across this work include Complement system in diseases (6 papers), Immune Response and Inflammation (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Immunology (563 citations), Biological Psychiatry (15 citations) and Microbiology (34 citations). Tsukasa Seya has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Masayuki Matsumoto, Misako Matsumoto, Ichiro Koni, Ryota Shirakura, Hironori Izutani, Seizoh Nakata, Kazunori Iwata, Shigeharu Nagasawa, Goro Matsumiya and Hikaru Matsuda. Their work appears in journals such as Advanced Drug Delivery Reviews, Annals of Neurology and Biochemical Journal.

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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