Jun Asai
Impact in
- Rehabilitation top 0.5%
- Wound Healing and Treatments
- Oncology top 5%
- Lymphatic System and Diseases
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 32
- Lymphatic System and Diseases 9
- Cancer Immunotherapy and Biomarkers 8
- Cutaneous Melanoma Detection and Management 7
- Vascular Tumors and Angiosarcomas 5
- Dermatology 17
- Co-authors
- Douglas W. Losordo (8 shared papers)Tina Thorne (7 shared papers)Masaaki Ii (7 shared papers)Kazuichi Maruyama (4 shared papers)Hideya Takenaka (24 shared papers)Norito Katoh (35 shared papers)Patrìcia A. D'Amore (1 shared paper)Saburo Kishimoto (11 shared papers)
- Journals
- The Journal of Dermatology (13 papers)Journal of Dermatological Science (6 papers)American Journal Of Pathology (3 papers)Journal of Clinical Oncology (3 papers)British Journal of Dermatology (2 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Jun Asai
73 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 116
- Rehabilitation 392
- Oncology 693
- Dermatology 180
- Genetics 169
- Clinical Biochemistry 102
Countries citing papers authored by Jun Asai
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
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.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 419 | |
| 2 | 2006 | 284 | |
| 3 | 2006 | 203 | |
| 4 | 2006 | 144 | |
| 5 | 2018 | 140 | |
| 6 | 2006 | 140 | |
| 7 | 2012 | 136 | |
| 8 | 2006 | 129 | |
| 9 | 2016 | 103 | |
| 10 | 2011 | 77 | |
| 11 | 2011 | 53 | |
| 12 | 2019 | 45 | |
| 13 | 2010 | 43 | |
| 14 | 2006 | 41 | |
| 15 | 1960 | 40 | |
| 16 | 2012 | 38 | |
| 17 | 2014 | 36 | |
| 18 | 2017 | 35 | |
| 19 | 2021 | 33 | |
| 20 | 2019 | 33 |
About Jun Asai
Jun Asai is a scholar working on Oncology, Dermatology, Molecular Biology, Epidemiology and Surgery, having authored 78 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Wound Healing and Treatments (7 papers), Melanoma and MAPK Pathways (6 papers), Diabetic Foot Ulcer Assessment and Management (6 papers), Angiogenesis and VEGF in Cancer (5 papers) and Vascular Tumors and Angiosarcomas (5 papers). The work is most often cited by research in Rehabilitation (392 citations), Oncology (693 citations), Dermatology (180 citations), Genetics (169 citations) and Clinical Biochemistry (102 citations). Jun Asai has collaborated with scholars based in Japan, United States and Sweden. 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, American Journal Of Pathology, Journal of Clinical Oncology and British Journal of 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.