Mika Irino

1.5k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 8
Topics
Genetics, Aging, and Longevity in Model Organisms (3 papers)Birth, Development, and Health (3 papers)Trace Elements in Health (2 papers)

In The Last Decade

Mika Irino

12 papers receiving 1.2k citations

Hit Papers

A new murine model of accelerated senescence19812026199620111981200400600

Peers

Mika Irino
Comparison fields: 5 of 99
  • Molecular Biology 477
  • Physiology 468
  • Neurology 244
  • Aging 205
  • Cellular and Molecular Neuroscience 171
Replace Hajime Hamamoto with:
Hajime Hamamoto Japan
Sharlene Rakoczy United States
Sudarshana Purkayastha United States
Yoichi Chiba Japan
Edoardo Parrella Italy
Sujira Mukda Thailand
Kevin B. Koronowski United States
Sun Shin Yi South Korea
Ryan T. Hamilton United States
Jonathan J. Halloran United States
Mika Irino relative to Hajime Hamamoto Japan Hajime Hamamoto's profile →
Citations per field
00.5×1.5×
Hajime Hamamoto · 1×
Citations per year

Countries citing papers authored by Mika Irino

Since Specialization
Citations

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

Fields of papers citing papers by Mika Irino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Irino

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 11
3
Isolation and morphologic characterization in vitro of Schwann cells of the twitcher mouse.
11
4 107
5 25
6 186
7 61
8 4
9 4
10 98
11
A new murine model of accelerated senescencebreakdown →
732
12 7

About Mika Irino

Mika Irino is a scholar working on Aging, Developmental Neuroscience and Behavioral Neuroscience, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Birth, Development, and Health (3 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Aging (205 citations), Biological Psychiatry (77 citations) and Neurology (244 citations). Mika Irino has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kimio Yasuhira, Hajime Hamamoto, Kazuo Shimizu, Toshio Matsushita, Katsuhiko Higuchi, T. Takeda, Masakiyo Hosokawa, S Takeshita, Yasuhiko Tomita and Toshio Takeda. Their work appears in journals such as Journal of Nutrition, Toxicology and Applied Pharmacology and Journal of Neuropathology & Experimental Neurology.

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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