Lisha Wang
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Heat shock proteins research 6
- RNA and protein synthesis mechanisms 5
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- Prostate Cancer Treatment and Research 8
- Co-authors
- Xiang Du (12 shared papers)Liang Cheng (25 shared papers)Qi Chang (18 shared papers)Xiuying Xiao (11 shared papers)Weiqi Sheng (6 shared papers)Shujuan Ni (5 shared papers)Rodolfo Montironi (18 shared papers)Tao Xue (13 shared papers)
- Journals
- Frontiers in Pharmacology (8 papers)PLoS ONE (6 papers)Alzheimer s & Dementia (4 papers)Agronomy (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Lisha Wang
172 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 154
- Biological Psychiatry 134
- Cancer Research 568
- Behavioral Neuroscience 65
- Molecular Biology 1.3k
- Modeling and Simulation 67
Countries citing papers authored by Lisha Wang
This map shows the geographic impact of Lisha 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 Lisha Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisha Wang more than expected).
Fields of papers citing papers by Lisha Wang
This network shows the impact of papers produced by Lisha 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 Lisha Wang. The network helps show where Lisha Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisha 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 203 | |
| 2 | 2011 | 117 | |
| 3 | 2019 | 108 | |
| 4 | 2013 | 79 | |
| 5 | 2015 | 77 | |
| 6 | 2020 | 69 | |
| 7 | 2019 | 66 | |
| 8 | 2013 | 63 | |
| 9 | 2002 | 62 | |
| 10 | 2016 | 60 | |
| 11 | 2015 | 59 | |
| 12 | 2015 | 56 | |
| 13 | 2024 | 54 | |
| 14 | MYBL2 is an independent prognostic marker that has tumor-promoting functions in colorectal cancer. | 2015 | 53 |
| 15 | 2020 | 52 | |
| 16 | 2013 | 47 | |
| 17 | 2015 | 45 | |
| 18 | 2019 | 45 | |
| 19 | 2015 | 43 | |
| 20 | 2012 | 40 |
About Lisha Wang
Lisha Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Epidemiology, having authored 184 papers that have together received 3.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Respiratory viral infections research (6 papers), Heat shock proteins research (6 papers), Alzheimer's disease research and treatments (5 papers), RNA and protein synthesis mechanisms (5 papers), Plant Virus Research Studies (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Biological Psychiatry (134 citations), Cancer Research (568 citations), Behavioral Neuroscience (65 citations), Molecular Biology (1.3k citations) and Modeling and Simulation (67 citations). Lisha Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiang Du, Liang Cheng, Qi Chang, Xiuying Xiao, Weiqi Sheng, Shujuan Ni, Rodolfo Montironi, Tao Xue, Xinmin Liu and Qifeng Wang. Their work appears in journals such as Frontiers in Pharmacology, PLoS ONE, Alzheimer s & Dementia, Agronomy and Journal of Medicinal Chemistry.
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.