Ichiro Nakano

3.9k citations
34 papers · 2.8k indexed · 1 hit paper · h-index 28
Topics
MicroRNA in disease regulation (9 papers)FOXO transcription factor regulation (9 papers)Glioma Diagnosis and Treatment (8 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Ichiro Nakano

34 papers receiving 2.8k citations

Hit Papers

Phosphorylation of EZH2 Activates STAT3 Signaling via STA...20132026201720212013200400600

Peers

Ichiro Nakano
Comparison fields: 5 of 94
  • Molecular Biology 1.9k
  • Oncology 798
  • Cancer Research 738
  • Immunology 504
  • Genetics 461
Replace Rajeev Vibhakar with:
Rajeev Vibhakar United States
Massimo Squatrito United States
Alan H. Shih United States
Pedro J. Real Spain
Luca Persano Italy
Ana C. deCarvalho United States
Lucia Di Marcotullio Italy
N. Shaun B. Thomas United Kingdom
Olga A. Guryanova United States
Dominique B. Hoelzinger United States
Ichiro Nakano relative to Rajeev Vibhakar United States Rajeev Vibhakar's profile →
Citations per field
00.5×1.5×2.1×
Rajeev Vibhakar · 1×
Citations per year

Countries citing papers authored by Ichiro Nakano

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Nakano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ichiro Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Ichiro Nakano. A scholar is included among the top collaborators of Ichiro Nakano 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 Ichiro Nakano. Ichiro Nakano 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 49
2 280
3 39
4 41
5 32
6 140
7 70
8 233
9 34
10 49
11 37
12 62
13 16
14
Phosphorylation of EZH2 Activates STAT3 Signaling via STAT3 Methylation and Promotes Tumorigenicity of Glioblastoma Stem-like Cellsbreakdown →
626
15 79
16 42
17 27
18 54
19 112
20 51

About Ichiro Nakano

Ichiro Nakano is a scholar working on Cancer Research, Genetics and Developmental Neuroscience, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), FOXO transcription factor regulation (9 papers) and Glioma Diagnosis and Treatment (8 papers). The work is most often cited by research in Cancer Research (738 citations), Genetics (461 citations) and Oncology (798 citations). Ichiro Nakano has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Kaushal Joshi, Harley I. Kornblum, Xiaona Liu, Biplab Dasgupta, Rishi Raj Chhipa, Sung-Hak Kim, Jeongwu Lee, Do‐Hyun Nam, Jeremy N. Rich and Misuk Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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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