Yating Tu
Impact in
- Dermatology top 2%
- Cancer and Skin Lesions
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
Papers in
- Dermatology 12
- Cancer and Skin Lesions 7
- Immunology 12
- Psoriasis: Treatment and Pathogenesis 9
- Co-authors
- Juan Tao (22 shared papers)Masutaka Furue (23 shared papers)Guanxin Shen (6 shared papers)Yoichi Moroi (18 shared papers)Hiroshi Uchi (15 shared papers)Masakazu Takahara (13 shared papers)Jintao Zhu (5 shared papers)Liyun Dong (5 shared papers)
- Journals
- Journal of Dermatological Science (11 papers)Journal of Cutaneous Pathology (7 papers)European Journal of Dermatology (4 papers)The Journal of Dermatology (3 papers)Dermatologic Surgery (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yating Tu
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 89
- Dermatology 168
- Immunology 208
- Cancer Research 138
- Biomaterials 87
- Oncology 113
Countries citing papers authored by Yating Tu
This map shows the geographic impact of Yating Tu'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 Yating Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Tu more than expected).
Fields of papers citing papers by Yating Tu
This network shows the impact of papers produced by Yating Tu. 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 Yating Tu. The network helps show where Yating Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating Tu, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 104 | |
| 2 | 2015 | 95 | |
| 3 | 2016 | 91 | |
| 4 | 2011 | 58 | |
| 5 | 2011 | 50 | |
| 6 | 2009 | 47 | |
| 7 | 2008 | 45 | |
| 8 | 2013 | 41 | |
| 9 | 2014 | 39 | |
| 10 | 2009 | 31 | |
| 11 | 2008 | 30 | |
| 12 | 2013 | 30 | |
| 13 | 2001 | 29 | |
| 14 | 2007 | 28 | |
| 15 | 2012 | 28 | |
| 16 | 2013 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2017 | 25 | |
| 19 | 2008 | 23 | |
| 20 | 2007 | 21 |
About Yating Tu
Yating Tu is a scholar working on Dermatology, Immunology, Microbiology, Oncology and Epidemiology, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (9 papers), Cancer and Skin Lesions (7 papers), Nonmelanoma Skin Cancer Studies (7 papers), Reproductive tract infections research (5 papers), Cervical Cancer and HPV Research (4 papers), Vascular Tumors and Angiosarcomas (4 papers), Melanoma and MAPK Pathways (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Dermatology (168 citations), Immunology (208 citations), Cancer Research (138 citations), Biomaterials (87 citations) and Oncology (113 citations). Yating Tu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Juan Tao, Masutaka Furue, Guanxin Shen, Yoichi Moroi, Hiroshi Uchi, Masakazu Takahara, Jintao Zhu, Liyun Dong, Nengxing Lin and Xiangjie An. Their work appears in journals such as Journal of Dermatological Science, Journal of Cutaneous Pathology, European Journal of Dermatology, The Journal of Dermatology and Dermatologic Surgery.
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.