Jun Aoi

2.3k citations
67 papers · 1.2k · 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

62 papers receiving 1.2k citations

Peers

Jun Aoi
Comparison fields: 5 of 77
  • Cancer Research 322
  • Dermatology 169
  • Oncology 321
  • Cardiology and Cardiovascular Medicine 233
  • Immunology 171
Replace Mikio Masuzawa with:
Mikio Masuzawa Japan
Lukasz Stawski United States
Le Qu China
Mary E. Aronow United States
Racquel Corpuz United States
YongYao Xu United States
Alejandro Morales United States
Zelian Qin China
Shengping Huang United States
Stefania Lenna United States
Jun Aoi relative to Mikio Masuzawa Japan Mikio Masuzawa's profile →
Citations per field
00.5×2×4×6×
Mikio Masuzawa · 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016153
2 2011114
3 2014102
4 201275
5 201256
6 201356
7 201352
8 201239
9 202039
10 201438
11 201234
12 201333
13 201533
14 201927
15 201225
16 201625
17 201820
18 201420
19 201715
20 202115

About Jun Aoi

Jun Aoi is a scholar working on Oncology, Dermatology, Molecular Biology, Pathology and Forensic Medicine and Epidemiology, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer and Skin Lesions (12 papers), Vascular Tumors and Angiosarcomas (7 papers), Nonmelanoma Skin Cancer Studies (7 papers), Immunotherapy and Immune Responses (6 papers), Systemic Sclerosis and Related Diseases (6 papers), Cutaneous lymphoproliferative disorders research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Fungal Infections and Studies (4 papers). The work is most often cited by research in Cancer Research (322 citations), Dermatology (169 citations), Oncology (321 citations), Cardiology and Cardiovascular Medicine (233 citations) and Immunology (171 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, Katsunari Makino, Yuichi Oike and Motoyoshi Endo. Their work appears in journals such as The Journal of Dermatology, Drug Discoveries & Therapeutics, Journal of Investigative Dermatology, Journal of Dermatological Science and BioScience Trends.

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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