Yuya Wada

591 citations
11 papers · 531 · h-index 10

Impact in

    • Synthesis and Properties of Aromatic Compounds
    • Supramolecular Chemistry and Complexes
    • Axial and Atropisomeric Chirality Synthesis
    • Polydiacetylene-based materials and applications
  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials

Papers in

    • Synthesis and Properties of Aromatic Compounds 9
    • Supramolecular Chemistry and Complexes 3
    • Axial and Atropisomeric Chirality Synthesis 2
    • Luminescence and Fluorescent Materials 5

Yuya Wada

11 papers receiving 527 citations

Peers

Yuya Wada
Comparison fields: 5 of 31
  • Organic Chemistry 438
  • Biomaterials 138
  • Spectroscopy 109
  • Materials Chemistry 265
  • Electronic, Optical and Magnetic Materials 46
Replace Kuo Fu with:
Kuo Fu China
Gui‐Fei Huo China
Takahiro Kaseyama Japan
Ramarani Sethy Japan
Jesse Roose Hong Kong
Cai‐Xin Zhao China
Kana Yoshida Japan
Laibing Wang China
Dian Niu China
Shinye Chia United States
Yuya Wada relative to Kuo Fu China Kuo Fu's profile →
Citations per field
00.5×6.7×
Kuo Fu · 1×
Citations per year

Countries citing papers authored by Yuya Wada

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Yuya Wada, 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 Yuya Wada Line = papers co-authored together Yuya Wada links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2020122
2 2018106
3 2019105
4 201861
5 201734
6 201930
7 201925
8 201916
9 201814
10 20169
11 20169

About Yuya Wada

Yuya Wada is a scholar working on Organic Chemistry, Materials Chemistry, Biomaterials, Spectroscopy and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 531 indexed citations. Recurring topics across this work include Synthesis and Properties of Aromatic Compounds (9 papers), Luminescence and Fluorescent Materials (5 papers), Supramolecular Chemistry and Complexes (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Axial and Atropisomeric Chirality Synthesis (2 papers), Molecular spectroscopy and chirality (2 papers), Photoreceptor and optogenetics research (2 papers) and Perovskite Materials and Applications (1 paper). The work is most often cited by research in Organic Chemistry (438 citations), Biomaterials (138 citations), Spectroscopy (109 citations), Materials Chemistry (265 citations) and Electronic, Optical and Magnetic Materials (46 citations). Yuya Wada has collaborated with scholars based in Japan and United States. Frequent co-authors include Tomoyuki Ikai, Ken‐ichi Shinohara, Timothy M. Swager, Katsuhiro Maeda, Tsuyoshi Taniguchi, Motohiro Mizuno, Shigeyoshi Kanoh, Daisuke Hirose, Kouhei Shimomura and Eiji Yashima. Their work appears in journals such as Journal of the American Chemical Society, Organic & Biomolecular Chemistry, Chemical Communications, Polymer Chemistry and RSC Advances.

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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