Takuya Ichikawa

512 citations
20 papers · 424 · h-index 11

Impact in

    • Sulfur-Based Synthesis Techniques
    • Chemical Synthesis and Reactions
    • Catalytic C–H Functionalization Methods
    • Synthesis and Catalytic Reactions
    • Fluorine in Organic Chemistry

Papers in

Takuya Ichikawa

19 papers receiving 417 citations

Peers

Takuya Ichikawa
Comparison fields: 5 of 84
  • Organic Chemistry 151
  • Pharmaceutical Science 31
  • Spectroscopy 83
  • Toxicology 14
  • Process Chemistry and Technology 8
Replace Vanessa Petrucci with:
Vanessa Petrucci Switzerland
Alexander Kühl Germany
Steven Dabbs United States
Annalisa Lippi Italy
M. LANGLOIS France
Nicole Kennedy United States
Vivian W. Y. Liao Australia
Jegadeesan Vaigunda Ragavendran India
Mansoor Chishty United Kingdom
Börje Egestad Sweden
Takuya Ichikawa relative to Vanessa Petrucci Switzerland Vanessa Petrucci's profile →
Citations per field
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Vanessa Petrucci · 1×
Citations per year

Countries citing papers authored by Takuya Ichikawa

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201099
2 201152
3 201251
4 201739
5 201231
6 201030
7 201529
8 201116
9 201713
10 201912
11 201611
12 20139
13 20118
14 20126
15 20186
16 20125
17 20123
18 20123
19 20251
20 20120

About Takuya Ichikawa

Takuya Ichikawa is a scholar working on Molecular Biology, Organic Chemistry, Social Psychology, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 424 indexed citations. Recurring topics across this work include Sulfur-Based Synthesis Techniques (6 papers), Robotics and Automated Systems (4 papers), Synthesis and Catalytic Reactions (4 papers), Social Robot Interaction and HRI (4 papers), Context-Aware Activity Recognition Systems (3 papers), Human-Animal Interaction Studies (2 papers), Metabolism and Genetic Disorders (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Organic Chemistry (151 citations), Pharmaceutical Science (31 citations), Spectroscopy (83 citations), Toxicology (14 citations) and Process Chemistry and Technology (8 citations). Takuya Ichikawa has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Mieko Arisawa, Masahiko Yamaguchi, Tatsuya Higashi, Shinsuke Inagaki, Jun Zhe Min, Takeshi Fukushima, Toshimasa Toyo’oka, Hidetoh Toki, Junichi Yamaguchi and Tōru Yamada. Their work appears in journals such as Chemical Communications, Journal of Pharmaceutical and Biomedical Analysis, Tetrahedron, Synthesis and ChemElectroChem.

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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