Ken-ichi Arai

1.7k citations
23 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
T-cell and Retrovirus Studies (3 papers)Immune Cell Function and Interaction (3 papers)Bacterial Genetics and Biotechnology (3 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Ken-ichi Arai

23 papers receiving 1.4k citations

Hit Papers

Sharing of the Interleukin-2 (IL-2) Receptor γ Chain Betw...19932026200420151993200400600

Peers

Ken-ichi Arai
Comparison fields: 5 of 88
  • Immunology 750
  • Molecular Biology 640
  • Oncology 328
  • Cancer Research 146
  • Genetics 145
Replace T Kojima with:
T Kojima Japan
Hélène Bœuf France
Chun Jeih Ryu South Korea
Viktor Wixler Germany
David Lapointe United States
Emmanuèle Barras Switzerland
Ravi Misra United States
Paula Bertram United States
Rickard Glas Sweden
Dejun Lin United States
Ken-ichi Arai relative to T Kojima Japan T Kojima's profile →
Citations per field
00.5×1.5×
T Kojima · 1×
Citations per year

Countries citing papers authored by Ken-ichi Arai

Since Specialization
Citations

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

Fields of papers citing papers by Ken-ichi Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken-ichi Arai. 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 Ken-ichi Arai. The network helps show where Ken-ichi Arai may publish in the future.

Co-authorship network of co-authors of Ken-ichi Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichi Arai. A scholar is included among the top collaborators of Ken-ichi Arai 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 Ken-ichi Arai. Ken-ichi Arai 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 14
2 51
3 18
4 13
5 6
6 47
7 52
8 35
9 60
10 42
11 20
12 7
13 196
14 45
15 12
16
Sharing of the Interleukin-2 (IL-2) Receptor γ Chain Between Receptors for IL-2 and IL-4breakdown →
636
17 9
18 24
19 52
20 12

About Ken-ichi Arai

Ken-ichi Arai is a scholar working on Aging, Immunology and Cell Biology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Immunology (750 citations), Oncology (328 citations) and Aging (21 citations). Ken-ichi Arai has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Sumiko Watanabe, Motonari Kondo, Naoto Ishii, Kazuo Sugamura, Masataka Nakamura, Toshikazu Takeshita, Naoko Arai, Hiroshi Tokumitsu, Esteban S. Masuda and Yoshiyuki Naito. Their work appears in journals such as Science, Nucleic Acids Research 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.

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