Kenji Tanigaki

6.2k citations
47 papers · 4.8k indexed · 5 hit papers · h-index 29

Kenji Tanigaki

46 papers receiving 4.8k citations

Hit Papers

Forebrain ependymal cells are Notch-dependent and generat...3522002202620102018200400600

Peers

Kenji Tanigaki
Comparison fields: 5 of 129
  • Developmental Neuroscience 593
  • Immunology 1.4k
  • Molecular Biology 2.7k
  • Sensory Systems 166
  • Cancer Research 500
Replace Corrinne G. Lobe with:
Corrinne G. Lobe Canada
Vasso Episkopou United Kingdom
Dieter Riethmacher Germany
Giorgio Corte Italy
Karen Niederreither France
Ryo Kominami Japan
Onur Başak Netherlands
Valerie A. Wallace Canada
Achim Gossler Germany
Kirk R. Thomas United States
Kenji Tanigaki relative to Corrinne G. Lobe Canada Corrinne G. Lobe's profile →
Citations per field
00.5×1.5×2.2×
Corrinne G. Lobe · 1×
Citations per year

Countries citing papers authored by Kenji Tanigaki

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Tanigaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kenji Tanigaki, 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 Kenji Tanigaki Line = papers co-authored together Kenji Tanigaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 202112
4 20186
5 20185
6 20176
7 20153
8 201241
9 201225
10 20116
11
Forebrain ependymal cells are Notch-dependent and generate neuroblasts and astrocytes after strokebreakdown →
2009352
12 200728
13 2006107
14 2006112
15 2005131
16
Haploinsufficient lethality and formation of arteriovenous malformations in Notch pathway mutantsbreakdown →
2004418
17 2004261
18
Instruction of Distinct CD4 T Helper Cell Fates by Different Notch Ligands on Antigen-Presenting Cellsbreakdown →
2004729
19 2003109
20 2003222

About Kenji Tanigaki

Kenji Tanigaki is a scholar working on Developmental Neuroscience, Aging and Cancer Research, having authored 47 papers that have together received 4.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (11 papers), Congenital heart defects research (10 papers), Genetics and Neurodevelopmental Disorders (8 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Pluripotent Stem Cells Research (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Developmental Neuroscience (593 citations), Immunology (1.4k citations) and Molecular Biology (2.7k citations). Kenji Tanigaki has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tasuku Honjo, Norio Yamamoto, Hua Han, Kazuki Kuroda, J. Magarian Blander, Gap Ryol Lee, Derk Amsen, Richard A. Flavell, Kei Tashiro and Hisanori Kurooka. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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