Liangli Wang
Impact in
-
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- RNA Interference and Gene Delivery
- Heat shock proteins research
- Biotechnology top 10%
- Microbial Inactivation Methods
Papers in
-
- Ubiquitin and proteasome pathways 8
- CRISPR and Genetic Engineering 4
- Heat shock proteins research 4
- RNA Interference and Gene Delivery 4
- Genetics 7
- Co-authors
- Wei Yang (8 shared papers)Wulf Paschen (8 shared papers)Fan Yuan (9 shared papers)Shengli Zhao (3 shared papers)Pei Miao (2 shared papers)Chun‐Chi Chang (7 shared papers)Jürgen M. Steinacker (6 shared papers)Yuefei Liu (6 shared papers)
- Journals
- Medicine & Science in Sports & Exercise (4 papers)Molecular Therapy (1 paper)SLAS DISCOVERY (1 paper)Journal of Neurochemistry (1 paper)Bioelectrochemistry (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Liangli Wang
26 papers receiving 973 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 671
- Biotechnology 81
- Cell Biology 143
- Rehabilitation 54
- Physiology 35
Countries citing papers authored by Liangli Wang
This map shows the geographic impact of Liangli Wang'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 Liangli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangli Wang more than expected).
Fields of papers citing papers by Liangli Wang
This network shows the impact of papers produced by Liangli Wang. 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 Liangli Wang. The network helps show where Liangli Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangli Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 184 | |
| 2 | 2014 | 156 | |
| 3 | 2004 | 76 | |
| 4 | 2014 | 63 | |
| 5 | 2011 | 59 | |
| 6 | 2012 | 55 | |
| 7 | 2012 | 53 | |
| 8 | 2017 | 49 | |
| 9 | 2017 | 36 | |
| 10 | 2012 | 34 | |
| 11 | 2016 | 31 | |
| 12 | 2014 | 29 | |
| 13 | 2018 | 27 | |
| 14 | 2013 | 26 | |
| 15 | 2008 | 25 | |
| 16 | 2018 | 13 | |
| 17 | 2008 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2020 | 12 | |
| 20 | 2020 | 7 |
About Liangli Wang
Liangli Wang is a scholar working on Molecular Biology, Genetics, Cell Biology, Oncology and Biotechnology, having authored 27 papers that have together received 979 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Microbial Inactivation Methods (5 papers), CRISPR and Genetic Engineering (4 papers), Heat shock proteins research (4 papers), RNA Interference and Gene Delivery (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Autophagy in Disease and Therapy (4 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Molecular Biology (671 citations), Biotechnology (81 citations), Cell Biology (143 citations), Rehabilitation (54 citations) and Physiology (35 citations). Liangli Wang has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Wei Yang, Wulf Paschen, Fan Yuan, Shengli Zhao, Pei Miao, Chun‐Chi Chang, Jürgen M. Steinacker, Yuefei Liu, Carolien Wansleeben and You‐Wen He. Their work appears in journals such as Medicine & Science in Sports & Exercise, Molecular Therapy, SLAS DISCOVERY, Journal of Neurochemistry and Bioelectrochemistry.
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.