Taichi Kimura

2.8k citations
90 papers · 2.2k · h-index 26

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer-related gene regulation 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Epigenetics and DNA Methylation 3
    • Glioma Diagnosis and Treatment 14

Taichi Kimura

89 papers receiving 2.2k citations

Peers

Taichi Kimura
Comparison fields: 5 of 115
  • Genetics 268
  • Cancer Research 281
  • Oncology 446
  • Molecular Biology 961
  • Pathology and Forensic Medicine 176
Replace Zu‐Xi Yu with:
Zu‐Xi Yu United States
Anja Nohe United States
Puviindran Nadesan Canada
Emmet McCormack Norway
Laura F. Gibson United States
Xiaoyan Xie China
Johbu Itoh Japan
Paweł Włodarski Poland
Isao Kii Japan
David I. Israel United States
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Citations per field
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Citations per year

Countries citing papers authored by Taichi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Taichi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016192
2 2012170
3 2007164
4 2013146
5 200895
6 201664
7 201061
8 201453
9 202150
10 201442
11 200940
12 201040
13 201639
14 201439
15 200737
16 201436
17 201634
18 202332
19 201532
20 201531

About Taichi Kimura

Taichi Kimura is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 90 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cancer Cells and Metastasis (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Advanced Polymer Synthesis and Characterization (4 papers), Cancer-related gene regulation (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Genetics (268 citations), Cancer Research (281 citations), Oncology (446 citations), Molecular Biology (961 citations) and Pathology and Forensic Medicine (176 citations). Taichi Kimura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shinya Tanaka, Hiroshi Nishihara, Mishie Tanino, Masumi Tsuda, Shinji Kohsaka, Roshan Mahabir, Tamio Itoh, Makoto Ouchi, Kouichi Tabu and Ryosuke Tsunematsu. Their work appears in journals such as Brain Tumor Pathology, Biochemical and Biophysical Research Communications, Molecular Cancer, Neuro-Oncology and Neuropathology.

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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