Lingling Bao
Impact in
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- Cancer-related molecular mechanisms research
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- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
Papers in
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- Machine Learning in Bioinformatics 5
- RNA modifications and cancer 3
- Extracellular vesicles in disease 3
- vaccines and immunoinformatics approaches 3
- Genomics and Phylogenetic Studies 2
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Xiaowei Zhao (7 shared papers)Ning Qiao (2 shared papers)Zhiqiang Ma (2 shared papers)Dong Xu (2 shared papers)Jiagen Li (2 shared papers)Rui Wang (2 shared papers)Fei He (2 shared papers)Peng Shu (1 shared paper)
- Journals
- Heliyon (3 papers)Molecules (2 papers)Annals of Palliative Medicine (1 paper)Journal of Food Science (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Lingling Bao
29 papers receiving 361 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 56
- Molecular Biology 194
- Health Informatics 3
- Clinical Biochemistry 13
- Artificial Intelligence 58
Countries citing papers authored by Lingling Bao
This map shows the geographic impact of Lingling Bao'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 Lingling Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Bao more than expected).
Fields of papers citing papers by Lingling Bao
This network shows the impact of papers produced by Lingling Bao. 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 Lingling Bao. The network helps show where Lingling Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling Bao, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 38 | |
| 2 | 2018 | 33 | |
| 3 | 2018 | 31 | |
| 4 | 2024 | 25 | |
| 5 | 2024 | 25 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2023 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2013 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2017 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Lingling Bao
Lingling Bao is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Nephrology, having authored 34 papers that have together received 374 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Ferroptosis and cancer prognosis (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (3 papers), Extracellular vesicles in disease (3 papers), vaccines and immunoinformatics approaches (3 papers), Genomics and Phylogenetic Studies (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Cancer Research (56 citations), Molecular Biology (194 citations), Health Informatics (3 citations), Clinical Biochemistry (13 citations) and Artificial Intelligence (58 citations). Lingling Bao has collaborated with scholars based in China, India and United States. Frequent co-authors include Xiaowei Zhao, Ning Qiao, Zhiqiang Ma, Dong Xu, Jiagen Li, Rui Wang, Fei He, Peng Shu, Xiao Chen and Bitao Jiang. Their work appears in journals such as Heliyon, Molecules, Annals of Palliative Medicine, Journal of Food Science and Breast Cancer Research.
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.