Takayuki Abe

6.5k citations
160 papers · 5.1k indexed · 1 hit paper · h-index 37
Topics
Hepatitis C virus research (31 papers)Advancements in Photolithography Techniques (25 papers)interferon and immune responses (17 papers)

In The Last Decade

Takayuki Abe

148 papers receiving 5.0k citations

Hit Papers

Cytosolic-DNA-Mediated, STING-Dependent Proinflammatory G...20142026201820222014200400600

Peers

Takayuki Abe
Comparison fields: 5 of 140
  • Molecular Biology 2.1k
  • Immunology 1.7k
  • Epidemiology 1.3k
  • Infectious Diseases 1.0k
  • Hepatology 795
Replace Mi‐Hua Tao with:
Mi‐Hua Tao Taiwan
H. Mario Geysen Australia
Michael Steward United Kingdom
C. Cheng Kao United States
Patrick England France
Darrell L. Peterson United States
Steeve Boulant Germany
Masaki Imai Japan
William W. Hall Ireland
Eric Rubinstein France
Takayuki Abe relative to Mi‐Hua Tao Taiwan Mi‐Hua Tao's profile →
Citations per field
00.5×1.5×1.9×
Mi‐Hua Tao · 1×
Citations per year

Countries citing papers authored by Takayuki Abe

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Abe

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Abe. A scholar is included among the top collaborators of Takayuki Abe 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 Abe. Takayuki Abe 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 2
2 1
3 2
4 13
5 2
6 33
7 6
8 215
9 12
10 34
11 10
12 4
13 198
14 1
15 57
16 15
17 7
18 1
19 1
20
Nature of the Macerating Enzymes from Rhizopus sp.
2

About Takayuki Abe

Takayuki Abe is a scholar working on Hepatology, Surfaces, Coatings and Films and Immunology, having authored 160 papers that have together received 5.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (31 papers), Advancements in Photolithography Techniques (25 papers) and interferon and immune responses (17 papers). The work is most often cited by research in Hepatology (795 citations), Immunology (1.7k citations) and Infectious Diseases (1.0k citations). Takayuki Abe has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Glen N. Barber, Yoshiharu Matsuura, Kohji Moriishi, Shizuo Akira, Hiroshi Takaku, Yoshio Mori, Taro Kawai, Naoko Miyano‐Kurosaki, Toru Okamoto and Tetsuro Suzuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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