Takuya Mohri

1.0k citations
7 papers · 819 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Pharmacogenetics and Drug Metabolism

Papers in

    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 2
    • RNA Research and Splicing 2
    • Peroxisome Proliferator-Activated Receptors 1

Takuya Mohri

7 papers receiving 806 citations

Peers

Takuya Mohri
Comparison fields: 5 of 74
  • Cancer Research 409
  • Pharmacology 116
  • Pathology and Forensic Medicine 123
  • Molecular Biology 451
  • Oncology 116
Replace Yan–Xin Chang with:
Yan–Xin Chang China
Siwei Tan China
Hanyong Sun China
Charles‐Henry Gattolliat France
Tomoki Yagai United States
E Farber Canada
Hansook Kim Chong United States
Sen Han China
Runchen Miao China
Wang‐Xiang Xu China
Takuya Mohri relative to Yan–Xin Chang China Yan–Xin Chang's profile →
Citations per field
00.5×2.9×
Yan–Xin Chang · 1×
Citations per year

Countries citing papers authored by Takuya Mohri

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Mohri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Takuya Mohri, 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 Takuya Mohri Line = papers co-authored together Takuya Mohri links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008226
2 2009165
3 2009128
4 2009124
5 2011112
6 201239
7 201525

About Takuya Mohri

Takuya Mohri is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pharmacology, having authored 7 papers that have together received 819 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Vitamin D Research Studies (2 papers), Cancer-related molecular mechanisms research (2 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Research and Splicing (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Estrogen and related hormone effects (1 paper) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Cancer Research (409 citations), Pharmacology (116 citations), Pathology and Forensic Medicine (123 citations), Molecular Biology (451 citations) and Oncology (116 citations). Takuya Mohri has collaborated with scholars based in Japan and United States. Frequent co-authors include Miki Nakajima, Tsuyoshi Yokoi, Shingo Takagi, Tatsuki Fukami, Yasuhiro Aoki, Masataka Takamiya, Yuki Oda, Takao Taniya, Masataka Nakano and Howard L. McLeod. Their work appears in journals such as Biochemical Pharmacology, Toxicology and Applied Pharmacology, International Journal of Cancer, Drug Metabolism and Disposition and Molecular Pharmacology.

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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