Kei‐ichiro Arimoto

1.6k citations
21 papers · 1.2k indexed · h-index 15
Topics
interferon and immune responses (12 papers)Cytokine Signaling Pathways and Interactions (7 papers)Immune Response and Inflammation (5 papers)

In The Last Decade

Kei‐ichiro Arimoto

21 papers receiving 1.2k citations

Peers

Kei‐ichiro Arimoto
Comparison fields: 5 of 73
  • Immunology 873
  • Molecular Biology 644
  • Oncology 279
  • Cancer Research 189
  • Epidemiology 136
Replace Nilushi S. De Silva with:
Nilushi S. De Silva United States
Gordon F. Heidkamp Germany
Ulrike Samulowitz Germany
Sjef Verbeek Netherlands
Josiane Ragimbeau France
Joyce Hu United States
Huansha Yu China
Mikhail V. Pogorelyy Russia
Krzysztof Masternak Switzerland
Timothy C. Cheung United States
Kei‐ichiro Arimoto relative to Nilushi S. De Silva United States Nilushi S. De Silva's profile →
Citations per field
00.5×
Nilushi S. De Silva · 1×
Citations per year

Countries citing papers authored by Kei‐ichiro Arimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kei‐ichiro Arimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kei‐ichiro Arimoto. 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 Kei‐ichiro Arimoto. The network helps show where Kei‐ichiro Arimoto may publish in the future.

Co-authorship network of co-authors of Kei‐ichiro Arimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kei‐ichiro Arimoto. A scholar is included among the top collaborators of Kei‐ichiro Arimoto 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 Kei‐ichiro Arimoto. Kei‐ichiro Arimoto 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 1
2 35
3 46
4 14
5 42
6 9
7 16
8 10
9 21
10 135
11 26
12 41
13 2
14 35
15 13
16 39
17 76
18 141
19 387
20 48

About Kei‐ichiro Arimoto

Kei‐ichiro Arimoto is a scholar working on Immunology, Oncology and Cancer Research, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (12 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Immunology (873 citations), Cancer Research (189 citations) and Oncology (279 citations). Kei‐ichiro Arimoto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Kunitada Shimotohno, Dong‐Er Zhang, Takayuki Hishiki, Hitoshi Takahashi, Takashi Fujita, Sayuri Miyauchi, Jun-Bao Fan, Samuel A. Stoner, Ming Yan and Christoph Burkart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

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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