Masutaka Furue
- Dermatology top 0.01%
- Dermatology and Skin Diseases 181
- Cancer and Skin Lesions 60
- Immunology and Allergy top 0.05%
- Allergic Rhinitis and Sensitization 91
- Immunology top 0.5%
- Immunotherapy and Immune Responses 48
- Rehabilitation top 0.2%
- Rheumatology top 0.2%
- Urticaria and Related Conditions 53
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- Asthma and respiratory diseases 67
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- Toxic Organic Pollutants Impact 46
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- Carcinogens and Genotoxicity Assessment 38
Masutaka Furue
685 papers receiving 16.8k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Dermatology 8.0k
- Immunology and Allergy 3.8k
- Immunology 4.2k
- Rehabilitation 1.0k
- Rheumatology 1.9k
Countries citing papers authored by Masutaka Furue
This map shows the geographic impact of Masutaka Furue'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 Masutaka Furue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masutaka Furue more than expected).
Fields of papers citing papers by Masutaka Furue
This network shows the impact of papers produced by Masutaka Furue. 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 Masutaka Furue. The network helps show where Masutaka Furue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masutaka Furue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 16 | |
| 4 | 2020 | 8 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 8 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 101 | |
| 11 | 2015 | 21 | |
| 12 | 2014 | 6 | |
| 13 | 2014 | 68 | |
| 14 | 2014 | 76 | |
| 15 | Using the Japanese Version of Skindex-16 and DLQI to Measure the QOL of New Outpatients with Atopic Dermatitis | 2010 | 1 |
| 16 | Quality of Life in Patients with Atopic Dermatitis | 2009 | 20 |
| 17 | A Consensus Conference Report on Psoriasis Therapy with Cyclosporine MEPC | 2004 | 7 |
| 18 | Solitary Malignant Peripheral Nerve Sheath tumor Not Associated with Neurofibromatosis. | 2001 | 1 |
| 19 | 2000 | 225 | |
| 20 | Expression of tetra-spans transmembrane family (CD9, CD37, CD53, CD63, CD81 and CD82) in normal and neoplastic human keratinocytes: an association of CD9 with alpha 3 beta 1 integrin. | 1997 | 38 |
About Masutaka Furue
Masutaka Furue is a scholar working on Dermatology, Immunology and Allergy and Immunology, having authored 741 papers that have together received 17.3k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (181 papers), Allergic Rhinitis and Sensitization (91 papers), Asthma and respiratory diseases (67 papers), Cancer and Skin Lesions (60 papers), Urticaria and Related Conditions (53 papers), Immunotherapy and Immune Responses (48 papers), Toxic Organic Pollutants Impact (46 papers) and Carcinogens and Genotoxicity Assessment (38 papers). The work is most often cited by research in Dermatology (8.0k citations), Immunology and Allergy (3.8k citations) and Immunology (4.2k citations). Masutaka Furue has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Uchi, Takeshi Nakahara, Gaku Tsuji, Takamichi Ito, Yoichi Moroi, Akiko Hashimoto‐Hachiya, Takafumi Kadono, Satoshi Takeuchi, Kazunori Urabe and Takahito Chiba. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.
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.