Akio Mantani

969 citations
12 papers · 779 indexed · h-index 9
Topics
TGF-β signaling in diseases (4 papers)Moyamoya disease diagnosis and treatment (2 papers)Cancer-related gene regulation (2 papers)

In The Last Decade

Akio Mantani

12 papers receiving 765 citations

Peers

Akio Mantani
Comparison fields: 5 of 78
  • Molecular Biology 445
  • Immunology 157
  • Genetics 138
  • Oncology 113
  • Developmental Neuroscience 77
Replace Leta S. Steffen with:
Leta S. Steffen United States
Joseph D. Dekker United States
Susana de Vega Japan
Emma Fiorini Switzerland
Rebecca Haffner‐Krausz Israel
Reinhard Grausenburger Austria
Caroline J. Formstone United Kingdom
Anton Novak Canada
Josée Aubin Canada
Yakop Jacobs United States
Akio Mantani relative to Leta S. Steffen United States Leta S. Steffen's profile →
Citations per field
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Leta S. Steffen · 1×
Citations per year

Countries citing papers authored by Akio Mantani

Since Specialization
Citations

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

Fields of papers citing papers by Akio Mantani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Mantani

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Mantani. A scholar is included among the top collaborators of Akio Mantani 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 Akio Mantani. Akio Mantani 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 33
2 50
3 46
4
Id2 and Id4 expression and function in glioblastoma multiforme and neural stem cells
1
5 98
6 220
7
Id gene expression as a key mediator of tumor cell biology.
67
8 9
9 1
10 30
11 216
12
[Aneurysm arising from the cortical branch of the superior cerebellar artery: case report].
8

About Akio Mantani

Akio Mantani is a scholar working on Developmental Neuroscience, Sensory Systems and Endocrine and Autonomic Systems, having authored 12 papers that have together received 779 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Moyamoya disease diagnosis and treatment (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (77 citations), Immunology (157 citations) and Molecular Biology (445 citations). Akio Mantani has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mark A. Israel, Kuniya Abe, Misao Suzuki, Shigeru Kuratani, Yasutaka Yamauchi, Yasuyuki Hitoshi, Ken–ichi Yamamura, Kyuson Yun, Sonia Garel and John L.R. Rubenstein. Their work appears in journals such as Journal of Neuroscience, Blood and Development.

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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