Liang Da
Impact in
- Epidemiology top 10%
- Autophagy in Disease and Therapy
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
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- Endoplasmic Reticulum Stress and Disease
Papers in
-
- RNA Interference and Gene Delivery 2
- Nuclear Structure and Function 1
- Epigenetics and DNA Methylation 1
- Heat shock proteins research 1
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- Autophagy in Disease and Therapy 2
- Hepatitis B Virus Studies 1
- Co-authors
- Mujun Zhao (10 shared papers)Tsaiping Li (7 shared papers)Pierre Tiollais (5 shared papers)Yi Mao (2 shared papers)Hong Tang (2 shared papers)Ying Li (3 shared papers)Dong Li (2 shared papers)Yifei Wang (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Acta Biochimica et Biophysica Sinica (2 papers)Journal of Hepatology (1 paper)Hepatology (1 paper)FEBS Letters (1 paper)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Liang Da
13 papers receiving 348 citations
Peers
Comparison fields: 5 of 57
- Epidemiology 204
- Cell Biology 85
- Cancer Research 50
- Hepatology 25
- Pharmacology 41
Countries citing papers authored by Liang Da
This map shows the geographic impact of Liang Da'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 Liang Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Da more than expected).
Fields of papers citing papers by Liang Da
This network shows the impact of papers produced by Liang Da. 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 Liang Da. The network helps show where Liang Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang Da, 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 | 2008 | 207 | |
| 2 | 2011 | 30 | |
| 3 | 2006 | 19 | |
| 4 | 2011 | 18 | |
| 5 | 2012 | 17 | |
| 6 | 2006 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2010 | 9 | |
| 10 | 2012 | 4 | |
| 11 | Experimental Study on Optic Fiber Embedded in Carbon Fiber Composite Structure | 2000 | 1 |
| 12 | Progress of CRISPR-Cas9 in stem cell research | 2015 | 1 |
| 13 | Research on the Performance and Application of Hollow-center Optical Fiber in Smart Material | 2000 | 1 |
About Liang Da
Liang Da is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Control and Systems Engineering and Physiology, having authored 13 papers that have together received 350 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (2 papers), Autophagy in Disease and Therapy (2 papers), Nuclear Structure and Function (1 paper), Epigenetics and DNA Methylation (1 paper), Heat shock proteins research (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Hepatitis B Virus Studies (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Epidemiology (204 citations), Cell Biology (85 citations), Cancer Research (50 citations), Hepatology (25 citations) and Pharmacology (41 citations). Liang Da has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Mujun Zhao, Tsaiping Li, Pierre Tiollais, Yi Mao, Hong Tang, Ying Li, Dong Li, Yifei Wang, Feng Li and Zhenhua Xu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Acta Biochimica et Biophysica Sinica, Journal of Hepatology, Hepatology and FEBS Letters.
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.