Junyan Tao
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 14
- Cancer-related gene regulation 10
- Ubiquitin and proteasome pathways 7
- Cell Biology 17
- Hippo pathway signaling and YAP/TAZ 17
- Co-authors
- Satdarshan P. Monga (31 shared papers)Xin Chen (17 shared papers)Lei Zhao (14 shared papers)Ji-Hua Dong (8 shared papers)Sucha Singh (15 shared papers)Diego F. Calvisi (12 shared papers)Yuan-Jin Guo (7 shared papers)Sarangarajan Ranganathan (5 shared papers)
- Journals
- American Journal Of Pathology (9 papers)Hepatology (6 papers)The FASEB Journal (4 papers)Gastroenterology (4 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junyan Tao
76 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 105
- Hepatology 242
- Cancer Research 385
- Pharmacology 222
- Cell Biology 321
- Molecular Biology 1.0k
Countries citing papers authored by Junyan Tao
This map shows the geographic impact of Junyan Tao'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 Junyan Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyan Tao more than expected).
Fields of papers citing papers by Junyan Tao
This network shows the impact of papers produced by Junyan Tao. 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 Junyan Tao. The network helps show where Junyan Tao may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyan Tao, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 228 | |
| 2 | 2008 | 106 | |
| 3 | 2016 | 95 | |
| 4 | 2013 | 80 | |
| 5 | 2019 | 76 | |
| 6 | 2016 | 75 | |
| 7 | 2016 | 67 | |
| 8 | 2017 | 65 | |
| 9 | 2022 | 56 | |
| 10 | 2010 | 54 | |
| 11 | 2015 | 53 | |
| 12 | 2016 | 52 | |
| 13 | 2009 | 51 | |
| 14 | 2017 | 47 | |
| 15 | 2015 | 47 | |
| 16 | 2007 | 45 | |
| 17 | 2016 | 43 | |
| 18 | 2014 | 43 | |
| 19 | 2019 | 41 | |
| 20 | 2021 | 41 |
About Junyan Tao
Junyan Tao is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Hepatology and Oncology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (17 papers), Wnt/β-catenin signaling in development and cancer (14 papers), Cancer-related gene regulation (10 papers), Ubiquitin and proteasome pathways (7 papers), Liver physiology and pathology (6 papers), Phytochemistry and Bioactivity Studies (4 papers), MicroRNA in disease regulation (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (242 citations), Cancer Research (385 citations), Pharmacology (222 citations), Cell Biology (321 citations) and Molecular Biology (1.0k citations). Junyan Tao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Satdarshan P. Monga, Xin Chen, Lei Zhao, Ji-Hua Dong, Sucha Singh, Diego F. Calvisi, Yuan-Jin Guo, Sarangarajan Ranganathan, Feng Jin and Ran Pang. Their work appears in journals such as American Journal Of Pathology, Hepatology, The FASEB Journal, Gastroenterology and Oncotarget.
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.