Hao Ji
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 18
- RNA Research and Splicing 8
- Circular RNAs in diseases 7
- Cancer-related gene regulation 5
-
- Cancer-related molecular mechanisms research 30
- MicroRNA in disease regulation 4
- Co-authors
- Bingqing Hui (9 shared papers)Ke‐Ming Wang (9 shared papers)Yifan Lian (8 shared papers)Zhonghua Ma (8 shared papers)Keming Wang (10 shared papers)Yun Tian (3 shared papers)Yong-Guo Shi (5 shared papers)Min Xie (3 shared papers)
- Journals
- Oncotarget (4 papers)Tumor Biology (2 papers)Cell Communication and Signaling (2 papers)Cancer Science (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Ji
71 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 1.3k
- Molecular Biology 1.5k
- Neurology 108
- Developmental Neuroscience 37
- Oncology 226
Countries citing papers authored by Hao Ji
This map shows the geographic impact of Hao Ji'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 Hao Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ji more than expected).
Fields of papers citing papers by Hao Ji
This network shows the impact of papers produced by Hao Ji. 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 Hao Ji. The network helps show where Hao Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ji, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 137 | |
| 2 | 2017 | 127 | |
| 3 | 2022 | 109 | |
| 4 | 2015 | 102 | |
| 5 | 2017 | 89 | |
| 6 | 2015 | 88 | |
| 7 | 2019 | 86 | |
| 8 | 2017 | 83 | |
| 9 | 2016 | 79 | |
| 10 | 2015 | 65 | |
| 11 | 2014 | 64 | |
| 12 | 2021 | 64 | |
| 13 | 2017 | 62 | |
| 14 | 2017 | 60 | |
| 15 | 2017 | 60 | |
| 16 | 2015 | 47 | |
| 17 | 2022 | 46 | |
| 18 | 2016 | 41 | |
| 19 | 2020 | 37 | |
| 20 | 2017 | 34 |
About Hao Ji
Hao Ji is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Immunology, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (30 papers), RNA modifications and cancer (18 papers), RNA Research and Splicing (8 papers), Circular RNAs in diseases (7 papers), Cancer-related gene regulation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), MicroRNA in disease regulation (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.5k citations), Neurology (108 citations), Developmental Neuroscience (37 citations) and Oncology (226 citations). Hao Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bingqing Hui, Ke‐Ming Wang, Yifan Lian, Zhonghua Ma, Keming Wang, Yun Tian, Yong-Guo Shi, Min Xie, Juan Li and Xuezhi He. Their work appears in journals such as Oncotarget, Tumor Biology, Cell Communication and Signaling, Cancer Science and Biochemical and Biophysical Research Communications.
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.