Ichiro Maruyama

4.1k citations
80 papers · 3.2k · h-index 28

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Biophysics top 1%

Papers in

    • Glycosylation and Glycoproteins Research 8
    • RNA and protein synthesis mechanisms 7
    • Genetics, Aging, and Longevity in Model Organisms 22

Ichiro Maruyama

78 papers receiving 3.1k citations

Peers

Ichiro Maruyama
Comparison fields: 5 of 116
  • Aging 424
  • Biophysics 210
  • Radiology, Nuclear Medicine and Imaging 700
  • Endocrine and Autonomic Systems 201
  • Molecular Medicine 150
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Citations per field
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Citations per year

Countries citing papers authored by Ichiro Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ichiro Maruyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ichiro Maruyama Line = papers co-authored together Ichiro Maruyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001274
2 1991206
3 2008166
4 2014161
5 2017146
6 2007128
7 1995114
8 1994112
9 1996109
10 1983103
11 1989103
12 1999101
13 1977101
14
Caenorhabditis elegansのunc‐13遺伝子がコードするホルボールエステル/ジアシルグリセロール結合蛋白質
199191
15 200780
16 200671
17 200070
18 197867
19 199263
20 201556

About Ichiro Maruyama

Ichiro Maruyama is a scholar working on Molecular Biology, Aging, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Oncology, having authored 80 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Circadian rhythm and melatonin (9 papers), Glycosylation and Glycoproteins Research (8 papers), Bacterial Genetics and Biotechnology (7 papers), RNA and protein synthesis mechanisms (7 papers), Bacteriophages and microbial interactions (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). The work is most often cited by research in Aging (424 citations), Biophysics (210 citations), Radiology, Nuclear Medicine and Imaging (700 citations), Endocrine and Autonomic Systems (201 citations) and Molecular Medicine (150 citations). Ichiro Maruyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sydney Brenner, Hiroko Maruyama, Takanori Moriki, Rong-Hua Tao, Ei‐ichiro Saita, Thorsten Wohland, Jianying Shen, S. Brenner, Sohail Ahmed and Thankiah Sudhaharan. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Gene, The FASEB Journal and The Journal of Biochemistry.

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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