Junko Aimi

3.2k citations
63 papers · 2.6k · h-index 25

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Conducting polymers and applications

Papers in

Junko Aimi

63 papers receiving 2.6k citations

Peers

Junko Aimi
Comparison fields: 5 of 110
  • Oncology 541
  • Polymers and Plastics 273
  • Genetics 459
  • Immunology 295
  • Materials Chemistry 673
Replace Zhaopei Guo with:
Zhaopei Guo China
Christopher A. Alabi United States
Jihong Sun China
Nasha Qiu China
Gerben A. Koning Netherlands
Takahiro Nomoto Japan
Kris C. Wood United States
Oleh Taratula United States
Hu Xiong China
Junko Aimi relative to Zhaopei Guo China Zhaopei Guo's profile →
Citations per field
00.5×1.5×2.4×
Zhaopei Guo · 1×
Citations per year

Countries citing papers authored by Junko Aimi

Since Specialization
Citations

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

Fields of papers citing papers by Junko Aimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016223
2 2012196
3 2006186
4 2012184
5 2013177
6 2008165
7 2006143
8 1987130
9 2017106
10 199294
11 199069
12 201957
13 200855
14 201554
15 200154
16 200753
17 202043
18 201441
19 201241
20 201839

About Junko Aimi

Junko Aimi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Organic Chemistry and Genetics, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (10 papers), Porphyrin and Phthalocyanine Chemistry (8 papers), Advanced Memory and Neural Computing (8 papers), Advanced Polymer Synthesis and Characterization (7 papers), Conducting polymers and applications (6 papers), Luminescence and Fluorescent Materials (6 papers), Virus-based gene therapy research (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Oncology (541 citations), Polymers and Plastics (273 citations), Genetics (459 citations), Immunology (295 citations) and Materials Chemistry (673 citations). Junko Aimi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Takashi Nakanishi, Jack E. Dixon, Akinori Saeki, Shu Seki, Sukumaran Santhosh Babu, Hiroaki Ozawa, Chih‐Feng Huang, Helmuth Möhwald, Eric J. Small and James M. Burke. Their work appears in journals such as Journal of Clinical Oncology, Angewandte Chemie International Edition, Polymer Chemistry, The Journal of Urology and Cancer Research.

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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