Hao Ji
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Cancer-related molecular mechanisms research 14
-
- RNA modifications and cancer 8
- Circular RNAs in diseases 5
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
- Protein Degradation and Inhibitors 2
- Co-authors
- Bingqing Hui (9 shared papers)Zhonghua Ma (6 shared papers)Ke‐Ming Wang (4 shared papers)Yetao Xu (3 shared papers)Yan Zhou (2 shared papers)Michael S. Shtutman (9 shared papers)Xuezhi He (2 shared papers)Jirong Wang (3 shared papers)
- Journals
- Oncotarget (3 papers)Cancer Science (2 papers)Cell Death and Disease (2 papers)Cell Communication and Signaling (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Ji
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 590
- Neurology 117
- Molecular Biology 752
- Developmental Neuroscience 41
- Biological Psychiatry 21
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 144 | |
| 2 | 2017 | 131 | |
| 3 | 2017 | 101 | |
| 4 | 2019 | 89 | |
| 5 | 2015 | 88 | |
| 6 | 2021 | 70 | |
| 7 | 2017 | 63 | |
| 8 | 2017 | 61 | |
| 9 | 2022 | 52 | |
| 10 | 2020 | 41 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2018 | 30 | |
| 14 | 2018 | 30 | |
| 15 | 2023 | 30 | |
| 16 | 2016 | 28 | |
| 17 | 2020 | 27 | |
| 18 | 2024 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2019 | 23 |
About Hao Ji
Hao Ji is a scholar working on Cancer Research, Molecular Biology, Oncology, Neurology and Immunology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (8 papers), Circular RNAs in diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer-related gene regulation (4 papers), Nanoplatforms for cancer theranostics (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (590 citations), Neurology (117 citations), Molecular Biology (752 citations), Developmental Neuroscience (41 citations) and Biological Psychiatry (21 citations). Hao Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bingqing Hui, Zhonghua Ma, Ke‐Ming Wang, Yetao Xu, Yan Zhou, Michael S. Shtutman, Xuezhi He, Jirong Wang, Eugenia V. Broude and David J. Oliver. Their work appears in journals such as Oncotarget, Cancer Science, Cell Death and Disease, Cell Communication and Signaling and Proceedings of the National Academy of Sciences.
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.