Haiting Liu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Cancer-related gene regulation
Papers in
-
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 9
-
- RNA modifications and cancer 14
- RNA Research and Splicing 6
- Circular RNAs in diseases 6
- Ubiquitin and proteasome pathways 4
- Co-authors
- Peng Gao (23 shared papers)Ran‐Ran Ma (16 shared papers)Rong Gui (15 shared papers)Guo-Hao Zhang (7 shared papers)Hui Zhang (6 shared papers)Sen Liu (2 shared papers)Lei Liu (1 shared paper)Wenjie Zhu (7 shared papers)
- Journals
- Oncogene (5 papers)Cell Death and Disease (4 papers)Journal of Nanobiotechnology (4 papers)Frontiers in Chemistry (3 papers)ACS Applied Materials & Interfaces (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiting Liu
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 135
- Cancer Research 555
- Molecular Biology 790
- Biomaterials 101
- Drug Discovery 1
- Neurology 41
Countries citing papers authored by Haiting Liu
This map shows the geographic impact of Haiting Liu'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 Haiting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiting Liu more than expected).
Fields of papers citing papers by Haiting Liu
This network shows the impact of papers produced by Haiting Liu. 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 Haiting Liu. The network helps show where Haiting Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiting Liu, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 154 | |
| 2 | 2021 | 149 | |
| 3 | 2021 | 86 | |
| 4 | 2014 | 77 | |
| 5 | 2015 | 77 | |
| 6 | 2020 | 62 | |
| 7 | 2021 | 62 | |
| 8 | 2019 | 58 | |
| 9 | 2017 | 49 | |
| 10 | 2020 | 48 | |
| 11 | 2020 | 47 | |
| 12 | 2020 | 38 | |
| 13 | 2018 | 37 | |
| 14 | 2021 | 36 | |
| 15 | 2022 | 36 | |
| 16 | 2019 | 33 | |
| 17 | 2021 | 33 | |
| 18 | 2014 | 26 | |
| 19 | 2016 | 24 | |
| 20 | 2021 | 23 |
About Haiting Liu
Haiting Liu is a scholar working on Cancer Research, Molecular Biology, Safety, Risk, Reliability and Quality, Immunology and Biomedical Engineering, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (20 papers), RNA modifications and cancer (14 papers), MicroRNA in disease regulation (9 papers), RNA Research and Splicing (6 papers), Circular RNAs in diseases (6 papers), Nanoplatforms for cancer theranostics (5 papers), Ubiquitin and proteasome pathways (4 papers) and Geotechnical Engineering and Analysis (3 papers). The work is most often cited by research in Cancer Research (555 citations), Molecular Biology (790 citations), Biomaterials (101 citations), Drug Discovery (1 citation) and Neurology (41 citations). Haiting Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Peng Gao, Ran‐Ran Ma, Rong Gui, Guo-Hao Zhang, Hui Zhang, Sen Liu, Lei Liu, Wenjie Zhu, Xiangyu Guo and Xinmin Nie. Their work appears in journals such as Oncogene, Cell Death and Disease, Journal of Nanobiotechnology, Frontiers in Chemistry and ACS Applied Materials & Interfaces.
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.