Shuji Takada

14.1k citations
138 papers · 10.6k indexed · 3 hit papers · h-index 35

Shuji Takada

134 papers receiving 10.4k citations

Hit Papers

MicroRNA-140 plays dual roles in both cartilage developme...522200720262013201910002.0k3.0k4.0k

Peers

Shuji Takada
Comparison fields: 5 of 140
  • Cancer Research 2.8k
  • Oncology 3.9k
  • Pulmonary and Respiratory Medicine 4.5k
  • Molecular Biology 5.9k
  • Genetics 2.0k
Replace Elizabeth P. Henske with:
Elizabeth P. Henske United States
Rachel H. Giles Netherlands
Kenneth J. Hillan United States
Farida Latif United Kingdom
Catharina Larsson Sweden
Laura S. Schmidt United States
John K. Cowell United States
Akiko Hata United States
Jorge Filmus Canada
Rosemary J. Akhurst United States
Shuji Takada relative to Elizabeth P. Henske United States Elizabeth P. Henske's profile →
Citations per field
00.5×2.9×
Elizabeth P. Henske · 1×
Citations per year

Countries citing papers authored by Shuji Takada

Since Specialization
Citations

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

Fields of papers citing papers by Shuji Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 202210
5 202221
6 202111
7 202117
8 202010
9 201918
10 201923
11 201924
12 201920
13 201911
14 201526
15 201413
16
KIF5B-ALK, a Novel Fusion Oncokinase Identified by an Immunohistochemistry-based Diagnostic System for ALK-positive Lung Cancerbreakdown →
2009557
17 2008346
18 2008396
19 2008397
20
Identification of the transforming EML4–ALK fusion gene in non-small-cell lung cancerbreakdown →
20074018

About Shuji Takada

Shuji Takada is a scholar working on Aging, Genetics and Reproductive Medicine, having authored 138 papers that have together received 10.6k indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (30 papers), Epigenetics and DNA Methylation (24 papers), Genetic Syndromes and Imprinting (18 papers), CRISPR and Genetic Engineering (16 papers), Prenatal Screening and Diagnostics (14 papers), RNA modifications and cancer (13 papers), Sexual Differentiation and Disorders (12 papers) and Sperm and Testicular Function (12 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (3.9k citations) and Pulmonary and Respiratory Medicine (4.5k citations). Shuji Takada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroyuki Mano, Young Lim Choi, Yoshihiro Yamashita, Manabu Soda, Yuichi Ishikawa, Munehiro Enomoto, Yukihiko Sugiyama, Hisashi Hatanaka, Kentaro Kurashina and Hideki Watanabe. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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