Takayuki Ota

5.6k citations
75 papers · 4.2k indexed · 2 hit papers · h-index 30
Topics
Immune Cell Function and Interaction (16 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers)T-cell and B-cell Immunology (15 papers)

In The Last Decade

Takayuki Ota

73 papers receiving 4.2k citations

Hit Papers

Rational HIV Immunogen Design to Target Specific Germlin...200620262012201920132006100200300400500

Peers

Takayuki Ota
Comparison fields: 5 of 121
  • Immunology 2.2k
  • Molecular Biology 1.2k
  • Virology 751
  • Pathology and Forensic Medicine 673
  • Epidemiology 534
Replace David N. Posnett with:
David N. Posnett United States
James B. Rottman United States
Dorothy E. Scott United States
Nasim Kassam United States
Marcel Loetscher Switzerland
Claude Des̀granges France
Sem Saeland France
F. Dianzani Italy
Marvin S. Reitz United States
Michelle A. Linterman United Kingdom
Takayuki Ota relative to David N. Posnett United States David N. Posnett's profile →
Citations per field
00.5×10.1×
David N. Posnett · 1×
Citations per year

Countries citing papers authored by Takayuki Ota

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Ota

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 16
5 6
6 12
7 31
8 17
9 3
10 143
11 75
12 36
13 18
14 43
15 256
16 14
17 76
18 36
19 170
20 4

About Takayuki Ota

Takayuki Ota is a scholar working on Virology, Genetics and Microbiology, having authored 75 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers) and T-cell and B-cell Immunology (15 papers). The work is most often cited by research in Virology (751 citations), Immunology (2.2k citations) and Genetics (492 citations). Takayuki Ota has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include David Nemazee, Shigeo Koyasu, Bao Duong, Masayuki Amagai, Amanda L. Gavin, Takeji Nishikawa, Kazuyuki Tsunoda, William R. Schief, Kasper Hoebe and Christopher E. Martin. Their work appears in journals such as Science, Journal of Clinical Investigation and The Journal of Experimental Medicine.

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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