Ru Ji
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 4
- Kruppel-like factors research 1
-
- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Baocun Sun (3 shared papers)Xiulan Zhao (3 shared papers)Weihui Liu (5 shared papers)Nan You (5 shared papers)Kaishan Tao (5 shared papers)Kefeng Dou (5 shared papers)Desheng Wang (3 shared papers)Yixin Liu (2 shared papers)
- Journals
- Journal of Experimental & Clinical Cancer Research (2 papers)PLoS ONE (2 papers)Molecular Carcinogenesis (1 paper)Cell Death Discovery (1 paper)Oncology Reports (1 paper)
- Partner nations
- China
In The Last Decade
Ru Ji
16 papers receiving 549 citations
Peers
Comparison fields: 5 of 78
- Hepatology 80
- Cancer Research 148
- Oncology 185
- Genetics 44
- Molecular Biology 275
Countries citing papers authored by Ru Ji
This map shows the geographic impact of Ru 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 Ru Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru Ji more than expected).
Fields of papers citing papers by Ru Ji
This network shows the impact of papers produced by Ru 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 Ru Ji. The network helps show where Ru Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Ru 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 116 | |
| 2 | 2014 | 109 | |
| 3 | 2012 | 105 | |
| 4 | 2013 | 63 | |
| 5 | 2014 | 55 | |
| 6 | 2012 | 31 | |
| 7 | 2010 | 18 | |
| 8 | 2012 | 15 | |
| 9 | 2011 | 13 | |
| 10 | 2020 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2013 | 5 | |
| 13 | A genetic study of the depressive respiratory responses to hypoxia in chronic obstructive pulmonary disease patients with type II respiratory failure. | 2000 | 3 |
| 14 | 2012 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 |
About Ru Ji
Ru Ji is a scholar working on Molecular Biology, Epidemiology, Oncology, Hepatology and Cancer Research, having authored 18 papers that have together received 552 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Liver Disease and Transplantation (2 papers), MicroRNA in disease regulation (2 papers), Cancer Cells and Metastasis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Hepatology (80 citations), Cancer Research (148 citations), Oncology (185 citations), Genetics (44 citations) and Molecular Biology (275 citations). Ru Ji has collaborated with scholars based in China. Frequent co-authors include Baocun Sun, Xiulan Zhao, Weihui Liu, Nan You, Kaishan Tao, Kefeng Dou, Desheng Wang, Yixin Liu, Qiang Gu and Jinjing Wang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, PLoS ONE, Molecular Carcinogenesis, Cell Death Discovery and Oncology Reports.
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.