Akihiko Ito

4.1k citations
88 papers · 3.3k indexed · h-index 32
Topics
Mast cells and histamine (13 papers)Cell Adhesion Molecules Research (8 papers)Erythrocyte Function and Pathophysiology (7 papers)

In The Last Decade

Akihiko Ito

83 papers receiving 3.2k citations

Peers

Akihiko Ito
Comparison fields: 5 of 113
  • Molecular Biology 1.5k
  • Immunology 841
  • Hepatology 476
  • Epidemiology 471
  • Physiology 387
Replace Anne Dubart‐Kupperschmitt with:
Anne Dubart‐Kupperschmitt France
Jun Cheng China
Pekka Kurki Finland
Lynn A. Spruce United States
Paul W. Finch United States
G L Bennett United States
Naushin Waseem United Kingdom
C.D. Dijkstra Netherlands
Neil V. Morgan United Kingdom
Philippe Leboulch United States
Akihiko Ito relative to Anne Dubart‐Kupperschmitt France Anne Dubart‐Kupperschmitt's profile →
Citations per field
00.5×1.5×1.8×
Anne Dubart‐Kupperschmitt · 1×
Citations per year

Countries citing papers authored by Akihiko Ito

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Ito. A scholar is included among the top collaborators of Akihiko Ito 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 Akihiko Ito. Akihiko Ito 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 9
2 55
3
Abstract #291: Spontaeous development of lung adenocarcinoma in mice lacking the tumor suppressor gene, CADM1/TSLC1
1
4 94
5 33
6 54
7 51
8 19
9 5
10 22
11 15
12 27
13 18
14 144
15 1
16 22
17 118
18
Enhanced expression of CD34 messenger RNA by developing endothelial cells of mice.
50
19 0
20 1

About Akihiko Ito

Akihiko Ito is a scholar working on Immunology and Allergy, Immunology and Cell Biology, having authored 88 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mast cells and histamine (13 papers), Cell Adhesion Molecules Research (8 papers) and Erythrocyte Function and Pathophysiology (7 papers). The work is most often cited by research in Hepatology (476 citations), Immunology (841 citations) and Immunology and Allergy (233 citations). Akihiko Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yukihiko Kitamura, Eiichi Morii, Hiroshi Yokozaki, Norio Hayashi, Yutaka Sasaki, Shuho Semba, Akinori Kasahara, Tomohide Tatsumi, Tatsuya Kanto and Noriyoshi Kuzushita. 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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