Yuji Amagai

2.7k citations
19 papers · 2.4k indexed · 2 hit papers · h-index 12
Topics
Pluripotent Stem Cells Research (6 papers)Pancreatic function and diabetes (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
Partner nations
JapanUnited States

In The Last Decade

Yuji Amagai

19 papers receiving 2.4k citations

Hit Papers

In vitro differentiation and calcification in a new clona...19812026199620111983198150010001.5k

Peers

Yuji Amagai
Comparison fields: 5 of 105
  • Molecular Biology 1.5k
  • Biomedical Engineering 493
  • Oncology 422
  • Rheumatology 338
  • Genetics 243
Replace Hiroko Sudo with:
Hiroko Sudo Japan
S Kasai Japan
J.A. Gallagher United Kingdom
Chohei Shigeno Japan
Vishwas Paralkar United States
Shun-ichi Harada United States
Ken‐ichi Katsube Japan
Laurence Duplomb France
Cedric Minkin United States
Ryo Fukuyama Japan
Yuji Amagai relative to Hiroko Sudo Japan Hiroko Sudo's profile →
Citations per field
00.5×1.5×
Hiroko Sudo · 1×
Citations per year

Countries citing papers authored by Yuji Amagai

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Amagai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Amagai

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 9
2 36
3 81
4 15
5 12
6 8
7 12
8 1
9 25
10 3
11
[Effects of ascorbic acid deficiency on differentiation of osteogenic MC3T3-E1 cells].
1
12 6
13 55
14 13
15
In vitro differentiation and calcification in a new clonal osteogenic cell line derived from newborn mouse calvaria.breakdown →
1505
16 3
17 125
18 78
19
Establishment of a clonal osteogenic cell line from newborn mouse calvariabreakdown →
442

About Yuji Amagai

Yuji Amagai is a scholar working on Developmental Neuroscience, Hepatology and Orthodontics, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Pancreatic function and diabetes (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Rheumatology (338 citations), Molecular Biology (1.5k citations) and Immunology and Allergy (98 citations). Yuji Amagai has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroko Sudo, S. Yamamoto, Hiroaki Kodama, S Kasai, Shiro Kasai, Hidenori Koyama, Norio Nakatsuji, Kazuhiro Aiba, Itsunari Minami and Makoto Honda. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology and PLoS ONE.

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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