Meiling Sun
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- S100 Proteins and Annexins 2
- Cancer therapeutics and mechanisms 2
- Oncology 6
- Lung Cancer Research Studies 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Lijuan Cao (2 shared papers)Zheng‐Hong Qin (2 shared papers)Caihong Zhou (4 shared papers)Richard D. Ye (4 shared papers)Jieyu Chen (1 shared paper)Rong Han (1 shared paper)Zhipeng Zhou (1 shared paper)Jianbin Ge (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Cancer Biotherapy and Radiopharmaceuticals (2 papers)Molecular Pharmacology (2 papers)Technology in Cancer Research & Treatment (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Meiling Sun
26 papers receiving 515 citations
Peers
Comparison fields: 5 of 84
- Cancer Research 91
- Neurology 46
- Molecular Biology 281
- Microbiology 19
- Immunology 54
Countries citing papers authored by Meiling Sun
This map shows the geographic impact of Meiling Sun'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 Meiling Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Sun more than expected).
Fields of papers citing papers by Meiling Sun
This network shows the impact of papers produced by Meiling Sun. 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 Meiling Sun. The network helps show where Meiling Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Sun, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2007 | 40 | |
| 3 | 2021 | 36 | |
| 4 | 2006 | 35 | |
| 5 | 2015 | 34 | |
| 6 | 2023 | 33 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 23 | |
| 9 | 2019 | 23 | |
| 10 | 2005 | 22 | |
| 11 | 2011 | 18 | |
| 12 | 2013 | 18 | |
| 13 | 2017 | 14 | |
| 14 | 2011 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2007 | 12 | |
| 17 | 2020 | 12 | |
| 18 | [Diagnostic value of interleukin-27 in tuberculous pleural effusion]. | 2014 | 11 |
| 19 | 2023 | 9 | |
| 20 | 1993 | 8 |
About Meiling Sun
Meiling Sun is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 29 papers that have together received 521 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (3 papers), Lung Cancer Research Studies (3 papers), Peptidase Inhibition and Analysis (3 papers), S100 Proteins and Annexins (2 papers), Graphene and Nanomaterials Applications (2 papers), Cancer therapeutics and mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Cancer Research (91 citations), Neurology (46 citations), Molecular Biology (281 citations), Microbiology (19 citations) and Immunology (54 citations). Meiling Sun has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lijuan Cao, Zheng‐Hong Qin, Caihong Zhou, Richard D. Ye, Jieyu Chen, Rong Han, Zhipeng Zhou, Jianbin Ge, Yuanyuan Qin and Mei Li. Their work appears in journals such as Nucleic Acids Research, Cancer Biotherapy and Radiopharmaceuticals, Molecular Pharmacology, Technology in Cancer Research & Treatment and The Journal of Immunology.
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.