Yating Tu
Impact in
- Dermatology top 2%
- Cancer and Skin Lesions
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 4
- S100 Proteins and Annexins 4
- Oncology 16
- Vascular Tumors and Angiosarcomas 5
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Juan Tao (20 shared papers)Masutaka Furue (16 shared papers)Guanxin Shen (5 shared papers)Yoichi Moroi (13 shared papers)Hiroshi Uchi (11 shared papers)Jintao Zhu (5 shared papers)Masakazu Takahara (7 shared papers)Liyun Dong (5 shared papers)
In The Last Decade
Yating Tu
84 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Dermatology 209
- Cancer Research 231
- Immunology 272
- Oncology 193
- Molecular Biology 523
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 102 | |
| 2 | 2015 | 95 | |
| 3 | 2016 | 86 | |
| 4 | 2011 | 54 | |
| 5 | 2011 | 50 | |
| 6 | 2009 | 47 | |
| 7 | 2008 | 44 | |
| 8 | 2014 | 36 | |
| 9 | 2013 | 35 | |
| 10 | 2018 | 34 | |
| 11 | 2009 | 31 | |
| 12 | 2013 | 30 | |
| 13 | 2001 | 29 | |
| 14 | 2008 | 28 | |
| 15 | 2013 | 28 | |
| 16 | 2007 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2012 | 25 | |
| 19 | 2017 | 23 | |
| 20 | 2007 | 21 |
About Yating Tu
Yating Tu is a scholar working on Molecular Biology, Oncology, Cancer Research, Epidemiology and Immunology, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Cancer and Skin Lesions (6 papers), Vascular Tumors and Angiosarcomas (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cancer-related molecular mechanisms research (4 papers), Reproductive tract infections research (4 papers), RNA modifications and cancer (4 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Dermatology (209 citations), Cancer Research (231 citations), Immunology (272 citations), Oncology (193 citations) and Molecular Biology (523 citations). Yating Tu has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Juan Tao, Masutaka Furue, Guanxin Shen, Yoichi Moroi, Hiroshi Uchi, Jintao Zhu, Masakazu Takahara, Liyun Dong, Xiangjie An and Nengxing Lin. Their work appears in journals such as Journal of Cutaneous Pathology, Journal of Dermatological Science, The Journal of Dermatology, Biological and Pharmaceutical Bulletin and Lasers in Surgery and Medicine.
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.