Naoki Takeda

9.6k citations
97 papers · 7.4k indexed · 3 hit papers · h-index 38

Impact in

Papers in

Naoki Takeda

93 papers receiving 7.3k citations

Hit Papers

Histone methyltransferases G9a and GLP form heteromeric complexes and are both crucial for methylation of euchromatin at H3-K9 2005 · 645 citations
645199520262005201550010001.5k

Peers

Naoki Takeda
Comparison fields: 5 of 128
  • Immunology and Allergy 1.4k
  • Cell Biology 1.5k
  • Molecular Biology 4.8k
  • Immunology 936
  • Cancer Research 656
Replace Michael D. Henry with:
Michael D. Henry United States
Gregory D. Plowman United States
Urban Deutsch Germany
Stefan Butz Germany
Dianqing Wu United States
Paola Defilippi Italy
Caroline S. Hill United Kingdom
John G. Collard Netherlands
Pier Carlo Marchisio Italy
Arthur S. Alberts United States
Naoki Takeda relative to Michael D. Henry United States Michael D. Henry's profile →
Citations per field
00.5×1.7×
Michael D. Henry · 1×
Citations per year

Countries citing papers authored by Naoki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20239
4 20236
5 202282
6 202214
7 202014
8 201820
9 201713
10 2014126
11 20129
12 2007241
13 200740
14 2005101
15 200446
16 200324
17 200252
18 200281
19 200166
20 199513

About Naoki Takeda

Naoki Takeda is a scholar working on Immunology and Allergy, Cell Biology, Immunology, Molecular Biology and Reproductive Medicine, having authored 97 papers that have together received 7.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (7 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Epigenetics and DNA Methylation (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Immunology and Allergy (1.4k citations), Cell Biology (1.5k citations), Molecular Biology (4.8k citations), Immunology (936 citations) and Cancer Research (656 citations). Naoki Takeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shinichi Aizawa, Yoichi Shinkai, Makoto Tachibana, Mikiko Fukuda, Jun Ueda, Tsutomu Ohta, Masami Nozaki, Yasuhide Furuta, Jiro Fujimoto and Kenji Sobue. Their work appears in journals such as Scientific Reports, Nature, Molecular and Cellular Biology, Nature Communications 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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