Jun Asai

4.4k citations
78 papers · 2.7k indexed · h-index 26

Impact in

    • Wound Healing and Treatments
  • Oncology top 5%
    • Lymphatic System and Diseases
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cutaneous lymphoproliferative disorders research 7
    • Cutaneous Melanoma Detection and Management 8
    • Cancer Immunotherapy and Biomarkers 8
    • Lymphatic System and Diseases 8

Jun Asai

73 papers receiving 2.6k citations

Peers

Jun Asai
Comparison fields: 5 of 121
  • Rehabilitation 431
  • Oncology 768
  • Dermatology 219
  • Occupational Therapy 82
  • Genetics 200
Replace Gaia Spinetti with:
Gaia Spinetti Italy
Matti Laato Finland
Jih‐Yang Ko Taiwan
Mansoor Hussain United States
E Seifter United States
Ronald H. Goldstein United States
Lisa Menegazzo Italy
Allan Sirsjö Sweden
Paul A.J. Krijnen Netherlands
Randy C. Mifflin United States
Jun Asai relative to Gaia Spinetti Italy Gaia Spinetti's profile →
Citations per field
00.5×6.1×
Gaia Spinetti · 1×
Citations per year

Countries citing papers authored by Jun Asai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Asai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007417
2 2006281
3 2006203
4 2006145
5 2006140
6 2018135
7 2012133
8 2006129
9 2016100
10 201175
11 201153
12 201944
13 201043
14 200641
15 196040
16 201238
17 201434
18 201933
19 202133
20 201731

About Jun Asai

Jun Asai is a scholar working on Dermatology, Oncology, Rehabilitation, Genetics and Epidemiology, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Lymphatic System and Diseases (8 papers), Wound Healing and Treatments (7 papers), Cutaneous lymphoproliferative disorders research (7 papers), Nonmelanoma Skin Cancer Studies (7 papers), Melanoma and MAPK Pathways (6 papers) and Diabetic Foot Ulcer Assessment and Management (6 papers). The work is most often cited by research in Rehabilitation (431 citations), Oncology (768 citations), Dermatology (219 citations), Occupational Therapy (82 citations) and Genetics (200 citations). Jun Asai has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Douglas W. Losordo, Tina Thorne, Masaaki Ii, Kazuichi Maruyama, Hideya Takenaka, Norito Katoh, Patrìcia A. D'Amore, Saburo Kishimoto, Hiromichi Hamada and Marcy Silver. Their work appears in journals such as The Journal of Dermatology, Journal of Dermatological Science, Journal of Clinical Oncology, American Journal Of Pathology and Journal of Investigative Dermatology.

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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