Jun Aoi

2.3k citations
66 papers · 1.1k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Vascular Tumors and Angiosarcomas 7
    • Cancer Immunotherapy and Biomarkers 5
    • Cancer and Skin Lesions 12
    • Cutaneous lymphoproliferative disorders research 6

Jun Aoi

61 papers receiving 1.1k citations

Peers

Jun Aoi
Comparison fields: 5 of 81
  • Cancer Research 385
  • Dermatology 184
  • Oncology 358
  • Cardiology and Cardiovascular Medicine 244
  • Immunology 191
Replace Suat Hoon Tan with:
Suat Hoon Tan Singapore
Ikko Kajihara Japan
Katsunari Makino Japan
Shinichi Masuguchi Japan
Manuel J. Del Rey Spain
Mikio Masuzawa Japan
Lukasz Stawski United States
Dorit Nahari United States
An‐Fang Huang China
Xianbo Zuo China
Jun Aoi relative to Suat Hoon Tan Singapore Suat Hoon Tan's profile →
Citations per field
00.5×2.9×
Suat Hoon Tan · 1×
Citations per year

Countries citing papers authored by Jun Aoi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Aoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016149
2 2011113
3 2014100
4 201272
5 201355
6 201253
7 201352
8 201239
9 202037
10 201436
11 201234
12 201532
13 201332
14 201225
15 201624
16 201924
17 201819
18 201417
19 202115
20 201714

About Jun Aoi

Jun Aoi is a scholar working on Oncology, Dermatology, Molecular Biology, Epidemiology and Pathology and Forensic Medicine, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer and Skin Lesions (12 papers), Nonmelanoma Skin Cancer Studies (9 papers), Immunotherapy and Immune Responses (8 papers), Vascular Tumors and Angiosarcomas (7 papers), Systemic Sclerosis and Related Diseases (6 papers), Cutaneous lymphoproliferative disorders research (6 papers), Melanoma and MAPK Pathways (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Cancer Research (385 citations), Dermatology (184 citations), Oncology (358 citations), Cardiology and Cardiovascular Medicine (244 citations) and Immunology (191 citations). Jun Aoi has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Hironobu Ihn, Satoshi Fukushima, Masatoshi Jinnin, Azusa Miyashita, Shinichi Masuguchi, Ikko Kajihara, Takamitsu Makino, Yuichi Oike, Katsunari Makino and Tsuyoshi Kadomatsu. Their work appears in journals such as The Journal of Dermatology, Drug Discoveries & Therapeutics, BioScience Trends, Journal of Investigative Dermatology and Journal of Dermatological Science.

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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