Libo Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Antibiotic Resistance in Bacteria
Papers in
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- Neural Networks Stability and Synchronization 3
- Co-authors
- Margery A. Connelly (1 shared paper)David L. Williams (1 shared paper)Anne G. Ostermeyer (1 shared paper)Deborah A. Brown (1 shared paper)Caiyan Zhang (2 shared papers)Yufeng Zhou (2 shared papers)Yajing Gao (2 shared papers)Wenfeng Xiao (2 shared papers)
- Journals
- Journal of Lipid Research (1 paper)Pregnancy Hypertension (1 paper)Frontiers in Oncology (1 paper)Tribology International (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Libo Wang
28 papers receiving 335 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 52
- Molecular Medicine 14
- Cell Biology 36
- Obstetrics and Gynecology 13
- Molecular Biology 129
Countries citing papers authored by Libo Wang
This map shows the geographic impact of Libo 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 Libo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Wang more than expected).
Fields of papers citing papers by Libo Wang
This network shows the impact of papers produced by Libo 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 Libo Wang. The network helps show where Libo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Libo 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2009 | 56 | |
| 3 | 2023 | 50 | |
| 4 | 2003 | 50 | |
| 5 | 2019 | 23 | |
| 6 | Protein signature for non-small cell lung cancer prognosis. | 2014 | 19 |
| 7 | 2023 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2024 | 7 | |
| 11 | 2012 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2011 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2015 | 4 | |
| 16 | 2021 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2011 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2023 | 1 |
About Libo Wang
Libo Wang is a scholar working on Computer Networks and Communications, Molecular Biology, Mechanics of Materials, Genetics and Statistical and Nonlinear Physics, having authored 33 papers that have together received 338 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (3 papers), Genetic and phenotypic traits in livestock (2 papers), Neural Networks and Applications (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic Associations and Epidemiology (2 papers), Cancer-related molecular mechanisms research (2 papers), Rock Mechanics and Modeling (2 papers) and Aerospace and Aviation Technology (2 papers). The work is most often cited by research in Cancer Research (52 citations), Molecular Medicine (14 citations), Cell Biology (36 citations), Obstetrics and Gynecology (13 citations) and Molecular Biology (129 citations). Libo Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Margery A. Connelly, David L. Williams, Anne G. Ostermeyer, Deborah A. Brown, Caiyan Zhang, Yufeng Zhou, Yajing Gao, Wenfeng Xiao, Qiuyan Liang and Jinrong Fu. Their work appears in journals such as Journal of Lipid Research, Pregnancy Hypertension, Frontiers in Oncology, Tribology International and The Journal of Clinical Endocrinology & Metabolism.
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.