Takashi Wagata

1.0k citations
15 papers · 899 indexed · h-index 8

Takashi Wagata

13 papers receiving 891 citations

Peers

Takashi Wagata
Comparison fields: 5 of 63
  • Oncology 422
  • Cancer Research 200
  • Molecular Biology 539
  • Pathology and Forensic Medicine 130
  • Otorhinolaryngology 26
Replace Liyan Xue with:
Liyan Xue China
Audrey Rasmussen United States
Y. Doki Japan
Tzu‐Ju Chen Taiwan
Shih Hwa Chiou Taiwan
Mitsukazu Gotoh Japan
Shiwu Wu China
Paraskevi Alexandrou Greece
Jin‐Hui Shen China
Marianne Berg Norway
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Citations per field
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Citations per year

Countries citing papers authored by Takashi Wagata

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Wagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20091
2 20080
3 20082
4 20071
5 199644
6 19961
7
p53 mutation, murine double minute 2 amplification, and human papillomavirus infection are frequently involved but not associated with each other in esophageal squamous cell carcinoma.
199548
8 19944
9
Allelotype analysis of esophageal squamous cell carcinoma.
199496
10
Loss of 17p, mutation of the p53 gene, and overexpression of p53 protein in esophageal squamous cell carcinomas.
1993136
11 1992450
12 199235
13
[Protein-free culture of esophageal cancer cell lines].
19912
14
Deletion of 17p and amplification of the int-2 gene in esophageal carcinomas.
199162
15 199017

About Takashi Wagata

Takashi Wagata is a scholar working on Oncology, Biotechnology and Cancer Research, having authored 15 papers that have together received 899 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (3 papers), Esophageal Cancer Research and Treatment (3 papers), RNA modifications and cancer (2 papers), Cancer Research and Treatments (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Oncology (422 citations), Cancer Research (200 citations) and Molecular Biology (539 citations). Takashi Wagata has collaborated with scholars based in Japan. Frequent co-authors include Yutaka Shimada, Masayuki Imamura, Ichio Shibagaki, Kanji Ishizaki, Mituo Ikenaga, Takayoshi Tobe, M Imamura, Kimitsune Ishizaki, Junya Toguchida and David W. Yandell. Their work appears in journals such as International Journal of Cancer, Cancer, Pancreas, World Journal of Gastroenterology and World Journal of Surgery.

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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