Rong Liang
- Molecular Biology top 10%
- Cancer Research top 5%
- Oncology top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Topics
- Cancer-related molecular mechanisms research (10 papers)Hepatocellular Carcinoma Treatment and Prognosis (10 papers)MicroRNA in disease regulation (9 papers)
- Cited by
- Cancer ResearchHepatologyImmunology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of Molecular Biology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Rong Liang
120 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.1k
- Cancer Research 621
- Oncology 475
- Immunology 396
- Pulmonary and Respiratory Medicine 297
Countries citing papers authored by Rong Liang
This map shows the geographic impact of Rong Liang'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 Rong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong Liang more than expected).
Fields of papers citing papers by Rong Liang
This network shows the impact of papers produced by Rong Liang. 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 Rong Liang. The network helps show where Rong Liang may publish in the future.
Co-authorship network of co-authors of Rong Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Rong Liang. A scholar is included among the top collaborators of Rong Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rong Liang. Rong Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 39 | |
| 9 | Artificial Neural Network Model for Liver Cirrhosis Diagnosis in Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma | 2 |
| 10 | 28 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 6 | |
| 19 | The diagnostic value of serum Golgi protein-73 in hepatocellular carcinoma | 1 |
| 20 | Cognition on Etiology and Achanism of Fatigue in Traditional Chinese Medicine | 1 |
About Rong Liang
Rong Liang is a scholar working on Hepatology, Cancer Research and Oncology, having authored 127 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (621 citations), Hepatology (180 citations) and Immunology (396 citations). Rong Liang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhenzhen Zhang, Ni Li, Yan Lin, Jiazhou Ye, Zhihui Liu, Jinyan Zhang, Yongqiang Li, Ziyu Liu, Xing Gao and Mohan Pammi Venkatesh. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Molecular Biology.
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.