Zhenyu Ji
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
- Immunology 13
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 5
- Immune Cell Function and Interaction 5
- Co-authors
- Dandan Fan (18 shared papers)Yaxin Guo (9 shared papers)Weitang Yuan (3 shared papers)Zhenhe Suo (6 shared papers)Jahn M. Nesland (5 shared papers)Quanbo Zhou (2 shared papers)Guixian Wang (2 shared papers)Jinbo Liu (2 shared papers)
- Journals
- Oncotarget (4 papers)Immunology (3 papers)Experimental Cell Research (3 papers)Biomedicine & Pharmacotherapy (2 papers)Molecular Cancer (2 papers)
- Partner nations
- ChinaNorwayUnited States
In The Last Decade
Zhenyu Ji
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 523
- Molecular Biology 807
- Immunology 185
- Pulmonary and Respiratory Medicine 232
- Oncology 165
Countries citing papers authored by Zhenyu Ji
This map shows the geographic impact of Zhenyu 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 Zhenyu Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Ji more than expected).
Fields of papers citing papers by Zhenyu Ji
This network shows the impact of papers produced by Zhenyu 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 Zhenyu Ji. The network helps show where Zhenyu Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenyu 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 330 | |
| 2 | 2021 | 145 | |
| 3 | 2021 | 126 | |
| 4 | 2006 | 108 | |
| 5 | 2006 | 88 | |
| 6 | 2015 | 67 | |
| 7 | 2017 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 26 | |
| 11 | 2020 | 25 | |
| 12 | 2022 | 23 | |
| 13 | 2021 | 22 | |
| 14 | 2008 | 22 | |
| 15 | 2011 | 21 | |
| 16 | 2009 | 21 | |
| 17 | 2024 | 21 | |
| 18 | 2015 | 21 | |
| 19 | 2022 | 18 | |
| 20 | 2021 | 17 |
About Zhenyu Ji
Zhenyu Ji is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Cancer Research and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Photodynamic Therapy Research Studies (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (5 papers), Nanoparticle-Based Drug Delivery (5 papers), Immune Cell Function and Interaction (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Cancer Research (523 citations), Molecular Biology (807 citations), Immunology (185 citations), Pulmonary and Respiratory Medicine (232 citations) and Oncology (165 citations). Zhenyu Ji has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Dandan Fan, Yaxin Guo, Weitang Yuan, Zhenhe Suo, Jahn M. Nesland, Quanbo Zhou, Guixian Wang, Jinbo Liu, Weiwei Wang and Xiang Ji. Their work appears in journals such as Oncotarget, Immunology, Experimental Cell Research, Biomedicine & Pharmacotherapy and Molecular Cancer.
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.