Jialing Ji
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related molecular mechanisms research 5
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- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Extracellular vesicles in disease 4
- Connective Tissue Growth Factor Research 2
- Co-authors
- Aiqing Zhang (13 shared papers)Zuo‐Lin Li (7 shared papers)Bin Wang (4 shared papers)Bi-cheng Liu (5 shared papers)Lin‐Li Lv (3 shared papers)Hui Zheng (3 shared papers)Weihua Gan (5 shared papers)Huimin Shi (8 shared papers)
- Journals
- International Journal of Molecular Medicine (2 papers)Acta Pharmacologica Sinica (2 papers)American Journal of Physiology-Renal Physiology (1 paper)The Nephron journals/Nephron journals (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jialing Ji
20 papers receiving 299 citations
Peers
Comparison fields: 5 of 59
- Nephrology 54
- Cancer Research 74
- Molecular Biology 152
- Cardiology and Cardiovascular Medicine 26
- Clinical Biochemistry 8
Countries citing papers authored by Jialing Ji
This map shows the geographic impact of Jialing 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 Jialing Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialing Ji more than expected).
Fields of papers citing papers by Jialing Ji
This network shows the impact of papers produced by Jialing 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 Jialing Ji. The network helps show where Jialing Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jialing 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2021 | 45 | |
| 3 | 2022 | 31 | |
| 4 | 2024 | 25 | |
| 5 | 2023 | 23 | |
| 6 | 2019 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2023 | 12 | |
| 9 | 2022 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Jialing Ji
Jialing Ji is a scholar working on Cancer Research, Molecular Biology, Nephrology, Pathology and Forensic Medicine and Epidemiology, having authored 21 papers that have together received 300 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Extracellular vesicles in disease (4 papers), Autophagy in Disease and Therapy (3 papers), Connective Tissue Growth Factor Research (2 papers), Systemic Sclerosis and Related Diseases (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Nephrology (54 citations), Cancer Research (74 citations), Molecular Biology (152 citations), Cardiology and Cardiovascular Medicine (26 citations) and Clinical Biochemistry (8 citations). Jialing Ji has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Aiqing Zhang, Zuo‐Lin Li, Bin Wang, Bi-cheng Liu, Lin‐Li Lv, Hui Zheng, Weihua Gan, Huimin Shi, Tao‐Tao Tang and Hao Wang. Their work appears in journals such as International Journal of Molecular Medicine, Acta Pharmacologica Sinica, American Journal of Physiology-Renal Physiology, The Nephron journals/Nephron journals and Journal of Cellular and Molecular Medicine.
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.