Juling Ji
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- MicroRNA in disease regulation 9
-
- Liver physiology and pathology 7
- Co-authors
- Jinsheng Zhang (4 shared papers)Jin Qian (4 shared papers)Shuang Mei (4 shared papers)Xin Wei Wang (4 shared papers)Guangcun Huang (2 shared papers)Tim F. Greten (2 shared papers)Marshonna Forgues (2 shared papers)Tobias Eggert (2 shared papers)
- Journals
- Hepatology (2 papers)World Journal of Gastroenterology (2 papers)Hepatology Research (2 papers)Journal of Experimental & Clinical Cancer Research (2 papers)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Juling Ji
34 papers receiving 1.4k citations
Juling Ji's Hit Papers
Peers
Comparison fields: 5 of 82
- Hepatology 244
- Cancer Research 338
- Aging 28
- Immunology 290
- Physiology 264
Countries citing papers authored by Juling Ji
This map shows the geographic impact of Juling 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 Juling Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juling Ji more than expected).
Fields of papers citing papers by Juling Ji
This network shows the impact of papers produced by Juling 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 Juling Ji. The network helps show where Juling Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Juling 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distinct Functions of Senescence-Associated Immune Responses in Liver Tumor Surveillance and Tumor Progression Hit paper breakdown → | 2016 | 496 |
| 2 | 2009 | 253 | |
| 3 | 2015 | 127 | |
| 4 | 2009 | 62 | |
| 5 | 2012 | 45 | |
| 6 | 2020 | 45 | |
| 7 | 2009 | 38 | |
| 8 | 2009 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2013 | 27 | |
| 11 | 2017 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2007 | 20 | |
| 14 | 2023 | 17 | |
| 15 | 2019 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2009 | 8 |
About Juling Ji
Juling Ji is a scholar working on Cancer Research, Hepatology, Molecular Biology, Immunology and Epidemiology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Circular RNAs in diseases (7 papers), Liver physiology and pathology (7 papers), Extracellular vesicles in disease (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Ferroptosis and cancer prognosis (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Hepatology (244 citations), Cancer Research (338 citations), Aging (28 citations), Immunology (290 citations) and Physiology (264 citations). Juling Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jinsheng Zhang, Jin Qian, Shuang Mei, Xin Wei Wang, Guangcun Huang, Tim F. Greten, Marshonna Forgues, Tobias Eggert, Xueqing Wang and Lars Zender. Their work appears in journals such as Hepatology, World Journal of Gastroenterology, Hepatology Research, Journal of Experimental & Clinical Cancer Research and Molecular & Cellular Proteomics.
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.