Tao Hu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- Ubiquitin and proteasome pathways 12
- RNA modifications and cancer 5
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Ziming Dong (11 shared papers)Ping Chen (14 shared papers)Deyin Guo (5 shared papers)Xiao Yang (4 shared papers)Yue Xu (4 shared papers)Tingting Dai (4 shared papers)Musarat Ishaq (2 shared papers)Yueying Wang (1 shared paper)
- Journals
- Cell Death and Disease (4 papers)Oncotarget (3 papers)European Journal of Medicinal Chemistry (2 papers)Scientific Reports (2 papers)Aging (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Tao Hu
79 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 445
- Molecular Biology 934
- Cell Biology 174
- Immunology 214
- Epidemiology 307
Countries citing papers authored by Tao Hu
This map shows the geographic impact of Tao Hu'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 Tao Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Hu more than expected).
Fields of papers citing papers by Tao Hu
This network shows the impact of papers produced by Tao Hu. 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 Tao Hu. The network helps show where Tao Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tao Hu, 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 | 2016 | 145 | |
| 2 | 2009 | 119 | |
| 3 | 2016 | 102 | |
| 4 | 2015 | 92 | |
| 5 | 2019 | 82 | |
| 6 | 2015 | 80 | |
| 7 | 2017 | 66 | |
| 8 | 2017 | 64 | |
| 9 | 2008 | 56 | |
| 10 | 2015 | 55 | |
| 11 | 2017 | 53 | |
| 12 | 2018 | 48 | |
| 13 | 2015 | 43 | |
| 14 | 2019 | 40 | |
| 15 | 2021 | 40 | |
| 16 | 2022 | 33 | |
| 17 | 2024 | 32 | |
| 18 | 2015 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2020 | 26 |
About Tao Hu
Tao Hu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Oncology, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), MicroRNA in disease regulation (7 papers), Autophagy in Disease and Therapy (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (5 papers), interferon and immune responses (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Cancer Research (445 citations), Molecular Biology (934 citations), Cell Biology (174 citations), Immunology (214 citations) and Epidemiology (307 citations). Tao Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ziming Dong, Ping Chen, Deyin Guo, Xiao Yang, Yue Xu, Tingting Dai, Musarat Ishaq, Yueying Wang, Huan Liu and Pei Li. Their work appears in journals such as Cell Death and Disease, Oncotarget, European Journal of Medicinal Chemistry, Scientific Reports and Aging.
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.