Takeaki Oda

400 citations
12 papers · 290 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • TGF-β signaling in diseases
    • RNA Research and Splicing
    • Protein Tyrosine Phosphatases
    • Epigenetics and DNA Methylation

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 2
    • Pancreatic and Hepatic Oncology Research 2
    • Cancer-related Molecular Pathways 2

Takeaki Oda

11 papers receiving 289 citations

Peers

Takeaki Oda
Comparison fields: 5 of 58
  • Cancer Research 67
  • Molecular Biology 190
  • Immunology 53
  • Oncology 44
  • Hepatology 10
Replace Deyang Li with:
Deyang Li China
Hsin-Hwa Tsai Taiwan
Jingrong Xian China
Min Sook Ryu South Korea
Xiang-Yuan Wu China
Yiji Liao China
Wei Wen China
Xiaojiao Guan China
Aurélie Drouet France
Qinghua Xi China
Takeaki Oda relative to Deyang Li China Deyang Li's profile →
Citations per field
00.5×1.6×
Deyang Li · 1×
Citations per year

Countries citing papers authored by Takeaki Oda

Since Specialization
Citations

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

Fields of papers citing papers by Takeaki Oda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 200483
2 201243
3 201139
4 201134
5 201932
6 201629
7 201812
8 20108
9 20235
10 20194
11 20111
12 20250

About Takeaki Oda

Takeaki Oda is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Surgery, having authored 12 papers that have together received 290 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Pancreatic and Hepatic Oncology Research (2 papers), Cancer-related Molecular Pathways (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA Research and Splicing (2 papers), Sirtuins and Resveratrol in Medicine (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (190 citations), Immunology (53 citations), Oncology (44 citations) and Hepatology (10 citations). Takeaki Oda has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Tetsu Akiyama, Takashi Sekiya, Ken Matsuura, Kosuke Funato, Yusuke Yamazumi, Kenzui Taniue, Tomoatsu Hayashi, Lumi Negishi, M. Matsui and Hiroyuki Aburatani. Their work appears in journals such as Biochemical and Biophysical Research Communications, EMBO Reports, Oncogene, Cell Reports and Current Issues in Molecular Biology.

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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